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Senior Software Engineer Data Scientist	Motional	The Metrics Engine team oversees the extraction of data to evaluate the behavior of our av-stack, all the way from devising the metric formulation based on traffic laws, ethics and safety, to extracting the information necessary to compute these metrics from the logs. Beyond evaluating system-level behavior, we also derive metrics to evaluate subsystems that collectively participate to AV system behavior. As we are outputting a growing amount of metrics at various stages of the development process, our team is looking for a Senior Data Scientist to analyze the progression of our av-stack performance with respect to those metrics, and surface key trends. This person will get to make reports and recommendations that are of direct interest to many different teams across the organization, including leadership. What you’ll be doing: Analyze the output of our metric evaluator to provide high-level insights on the progress of our stack Communicate with the Testing, Operations, and Autonomy teams to understand their day-to-day analysis needs Provide recommendations on how to design experiments to get a stronger signal from the metrics Question the results of certain metrics, dig into their formulations and contribute to improving them regularly What we’re looking for: Strong Python coding experience MSc in Statistics, Math, Physics, Computer Science or equivalent + 3 years of experience in data science in a tech-heavy industry Python/Julia experience in statistical analysis Commitment to rigorous analysis - if assumptions need to be made to infer results, they should be spelled out Ability to communicate clearly to non-domain experts about potentially complex behaviors An interest in contributing to the metric formulation and implementation Bonus points (but not necessary): Experience in evaluating human or autonomous driving behavior Experience in robotics Why you should join us: We value diversity, equity, and inclusion and provide a supportive work environment that prioritizes collaboration, communication, and creativity. Our team members are committed to delivering high-quality results that make a real difference in the world. If you are passionate about the future of autonomous vehicles and want to work with a team of talented and motivated professionals, we encourage you to apply to join our team. Additionally, we offer excellent benefits to include generous medical plans, wellness benefits, unlimited PTO, 401k and equity, to name a few. Opportunity to present results to executives and leaders across the organization Opportunity to shape the technical roadmap towards a better product Be part of a rapidly growing team that interfaces with many branches of the organization Working conditions: The Motional global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the offices are located close to major transit lines and a quick walk to various restaurants and popular attractions. While performing the duties of this job, the employee is frequently required to convey and detect communication The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment The employee may occasionally move up to 50 pounds This position can support remote work within the United States only. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $136,500—$225,000 USD Motional is a driverless technology company making self-driving vehicles a safe, reliable, and accessible reality. The Motional team is made up of engineers, researchers, innovators, dreamers and doers, who together are creating a first-of-its-kind technology with the potential to transform the way we move. We’re behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's most-established public robotaxi fleet. As a leader in an emerging industry that has the promise of creating safer, more reliable and accessible transportation for all, it’s imperative we have a diverse workforce, create an inclusive culture, and understand the communities we operate in around the world. Diversity, Equity and Inclusion is fundamental to Motional’s success. That’s why we’ve established a team to ensure DEI is at the forefront of the candidate and employee experience, beginning with the hiring process and continuing throughout your career. We also partner with organizations like the National Society of Black Engineers, the Society of Hispanic Professional Engineers, and the Society of Women Engineers to ensure our DEI work is informed by the latest thinking and approaches. Strategically formed by Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Facebook, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility. Apply Now
Data Science Leader	Biorender	At BioRender, our mission is to accelerate the world’s ability to learn, discover and communicate science. We are passionate about democratizing science communication in order to accelerate scientific discovery and understanding. We're looking for amazing people to help create the world’s go-to-place and platform where science is communicated. Come join us! BioRender has revolutionized how 1.5M+ scientists communicate their research all over the world. The app provides personalized content and creative web-based tools to our users. These powerful tools enable scientists to create beautiful visualizations easily, easy-to-read posters for conferences, and informative slide show presentations, all while giving and receiving feedback in real-time. BioRender is on a mission to accelerate the world’s ability to learn, discover and communicate science. This is a big, ambitious goal. We’re looking for our first Data Science leader who’s passionate about accelerating our mission to join us on this journey. Our teams work closely with product managers, designers, and scientists to solve our customers' problems. We have more than a million scientists on our platform, creating millions of figures relating to their scientific work product. As our first Data Science leader in a high-growth, at-scale startup environment, you’ll get to work on challenges across the product life cycle. The challenges range from launching new products to iterating and scaling on existing ones, identifying opportunities for leveraging modeling, and mining our rich datasets for original insight to direct our efforts towards the biggest opportunities. Being our first Data Science leader, this is a great opportunity to leverage your experience into crafting what Data Science as a function means at BioRender for years to come, defining its charter, hiring the team, and working collaboratively with the senior leadership team to establish cross-functional partnerships. You will: Establish the mission, vision, and strategy for Data Science at BioRender Work closely with your Product, Design, and UXR partners to deeply understand the user, the product problem space, and how data science can accelerate product advancements through meaningful insights generated from data analysis Work closely with our Growth and GTM stakeholders in pulling signal from noise which accounts for all of the ways this signal could be off. The signal should provide a high level of confidence in how certain levers can contribute to sustainable, scalable growth, and enable achieving meaningful business outcomes Build the dream team: identify the highest leverage opportunities to grow the team and hire additional data scientists with the highest need skill sets Identify, align stakeholders, and execute together with our Data Engineering team on appropriate opportunities to advance our product and business goals leveraging advanced Data Science techniques such as deploying recommendation engines or other NLP/modeling/machine learning applications Identify, align stakeholders, and execute together with our Core Product team on how might BioRender leverage recent advances in language and visual models in accelerating its product roadmap Our ideal fit: Leadership experience in hiring, mentoring, and shaping Data Science as a function Ideally 2+ years of management experience (not required) 7+ years of Data Science experience, ideally 2+ years at the Principal level Successful track record in driving meaningful business and product outcomes through unique contributions that leverage Data Science techniques Developing, hiring, and onboarding A-player data scientists onto their organization Previous experience working on a large-scale web-based product, ideally in a product lead high growth environment PhD preferred, and at minimum Masters, with a formal education in statistics Strong Communication skills - draw information out of technical and non-technical sources and communicate them back at multiple levels Strong fluency in statistics fundamentals - fluent in data analysis techniques and understands WHY one technique is preferable to another in a given context Builder mindset - being early on in our journey, this role would require someone who is willing and able to “roll up sleeves” and work closely with our Data Engineering team to improve our data infrastructure alongside leveraging the infrastructure in their work. Why join us? We are mission-driven and work hard to contribute to the greater good by helping improve scientific communication to accelerate scientific discovery It’s a product that users love! We have a legion of evangelical users. Check out our Testimonials page to see what our customers are saying about us. We’re remote-first and have team members across Canada and the United States. A physical office in Toronto is available, but you have the flexibility to work from anywhere in the Canada and United States. We are profitable and continue to grow revenue north of 100% year over year with users in 200+ countries. We’re backed by top investors, accelerators, and some of the most successful life science entrepreneurs and philanthropists in the world including Y Combinator and Refactor. We are committed to building a warm, inclusive, and diverse environment. Check out how we make sure our employees come first: https://biorender.com/careers/ Check out our candidate resource - Engineering, Product & Design at BioRender! You can also read more about the BioRender interview process and FAQs here!
Data Scientist	Tessian	Tessian protects every business’s mission by securing the human layer We're building intelligent security that works for human beings as they are, not how security policies would like them to be. Using machine learning technology, Tessian automatically predicts and eliminates advanced threats on email caused by human error - like data exfiltration, accidental data loss, business email compromise and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way. You can read more about Human Layer Security here. Tessian has raised a $74m Series C led by renowned security investors, March Capital (Crowdstrike, Knowbe4), with follow-on from Sequoia, Accel, Balderton, Latitude, Okta, Sozo, Citi & Schroder Adveq, to further our mission to secure the human layer. Founded in 2013, Tessian is backed by world-class venture capital investors, is dual headquartered in San Francisco (US) and London (UK), with office hubs in Boston & Austin, and is one of the Top-3 2021 Best Places to Work for Women. Data Science at Tessian Our mission is to secure the human layer. This involves deploying near real-time machine learning models at massive scale to some of the world’s largest organisations to keep their most sensitive data private and secure. To do this, we're looking for a senior data scientist with NLP experience ready to work on hard problems, drive best practice and cultivate an environment of experimentation and learning. Companies can leverage data science in a number of ways, and we think the role of a Data Scientist falls into three distinct categories: 1) You work for a business function analysing & reporting on how to improve a key metric, e.g increasing user conversion 2) You are responsible for writing production models to enhance the main product, e.g recommendation systems for e-commerce 3) You build the product - without machine learning, it wouldn't exist The Data Science team built the product at Tessian. We couldn't exist without our machine learning models; they are at the heart of what we do, and they are what our clients rely on day-to-day. We're searching for a Senior Data Scientist who is excited about the opportunities and challenges that come with researching, building and deploying real-time production models. On a day to day basis you'll get to Work across massive enterprise email datasets Train and deploy models to production that impacts directly our customers and products Improve our ML workflow Work closely with our Engineering and Product Team to enhance our products. Make your mark on ambitious projects We'd love to meet someone who 4+ years Data Science experience Can balance longer term projects alongside impactful quick wins Cares deeply about the impact their team has Is creative at heart, and can encourage novel ways of thinking in their team. This has always been a core part of the data science team’s DNA Reads Rules of Machine Learning - Martin Zinkevich and it resonates with how they think about machine learning and data science Enjoys “getting their hands dirty” by digging into complex operations Takes responsibility for delivering large projects that require collaboration from start to finish Has strong listening skills; open to input from other team members and departments Has worked with, or understands the principles behind working with data at scale Our mission to empower and protect people is a reflection of two of our values: Human First and We Do the Right Thing. For us, Diversity, Equity and Inclusion is also a reflection of these core values. As a human first company, we are committed to creating a diverse, equitable and inclusive environment where all our Tessians have the opportunity to thrive. We strive for a better Tessian, and a better world. We're working inside and outside Tessian to improve diversity and equity in our industry, and foster an environment where everyone feels a sense of belonging. Our strategy touches each part of a Tessian’s life cycle, from applicant to employee, ensuring that we keep DEI at the core of every point in our candidate and employee experience. Read more about our DEI commitments here. By submitting your application to Tessian, you consent to Tessian retaining your information and contacting you about future job opportunities, that may be of interest, for up to 2 years in accordance with our Privacy Policy
Senior Data Scientist	Kobold Metals	Senior Data Scientist KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures. KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors. Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP. We are hiring a Senior Data Scientist to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Senior Data Scientist will: Help develop KoBold’s proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Qualifications A great Senior Data Scientist candidate will have: Technical skills, including extensive experience with: Python’s data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Working with a broad range of types of data including data from physical systems. Geospatial analyses and visualizations. Technical knowledge: Broad skills in and knowledge of applied statistics Substantial understanding of Machine Learning algorithms Training and work experience: An advanced degree in the physical sciences, engineering, computer science, or mathematics. Post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive. Work practices and motivation: Ability to take ownership and responsibility of large projects. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Creating machine learning models on geospatial data Geostatistics Image processing or computer vision Distributed computing applications for machine learning and other computations Containerization solutions KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status. The US base salary range for this full-time exempt position is $140,000-$210,000. Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada
Data Scientist	Kobold Metals	. Data Scientist About the company KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures. KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors. Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP. We are hiring a Senior Data Scientist to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Data Scientist will: Help develop KoBold’s proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Qualifications A great Data Scientist candidate will have: Technical skills, including extensive experience with: Python’s data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Working with a broad range of types of data including data from physical systems. Geospatial analyses and visualizations. Technical knowledge: Broad skills in and knowledge of applied statistics Substantial understanding of Machine Learning algorithms Training and work experience: An advanced degree in the physical sciences, engineering, computer science, or mathematics. Post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive. Work practices and motivation: Ability to take ownership and responsibility of large projects. Enjoys constantly learning such that you are and driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Creating machine learning models on geospatial data Geostatistics Image processing or computer vision Distributed computing applications for machine learning and other computations Containerization solutions KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status. This position is full-time, exempt. The US base salary range for this full-time exempt position is $120,000-$150,000 Location: Remote from any location in the US or Canada.
Data Scientist Strategic Finance	Figma	The Strategic Finance team is focused on solving some of Figma’s most pressing business issues. The team is responsible for owning the company's budget and top level business objectives, driving annual and quarterly planning processes, and performing financial analysis to inform our business strategy. You’ll be bringing a high level of rigor to the highest priority business issues and will interface regularly with senior leaders at the company. The ideal candidate is a great communicator with both technical and non technical counterparts, extremely detail oriented, and comfortable with ambiguity. Familiarity with financial data would be a huge plus. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Take ownership of our financial data pipelines Partner with the Strategic Finance team to improve financial forecasting methods Perform data analysis and build models such as customer LTV and propensity to buy to refine our long term strategy Drive metrics understanding and operationalize usage of KPIs Collaborate with cross organizational teams including finance, growth, product, marketing and sales to set team level targets that contribute to company objectives. Prepare metrics updates for the executive team and the broader company. We’d love to hear from you if you have: 3+ years relevant work experience Fluency in SQL Proficiency in Python, R or similar scripting language Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc) Firm knowledge around statistical methods, including forecasting Excellent judgment and creative problem solving skills A self-starting mindset along with strong communication and collaboration skills At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Read more about our team: From experiment to launch By the numbers: one year of remote work Measuring the value of design systems Figma’s Series D: The Decade of Design Figma's engineering values
Senior Data Scientist Data Platform	Stack Overflow	Every developer has a tab open on Stack Overflow. We are one of the most popular websites in the world - a community-based space focused on increasing productivity, decreasing cycle times, accelerating time to market, and protecting institutional knowledge. Innovation is at the heart of everything we do. We embrace collaboration, transparency, and believe in leading with empathy; creating an environment where every Stacker knows they belong. We embrace that the unique contributions and points of view of all Stackers contribute to our success. We are a Best Company to Work For, in addition to being recognized for Best Company Leadership, Best Company Happiness, Best Company Perks and Benefits, Best Company Work-Life Balance, Best Company Compensation, and Best Company Outlook. We are a remote-first company with Hiring HUBs based in the US, Canada, UK, and Germany. The Data Platform team at Stack Overflow builds and maintains the data processing and analytic pipelines that democratize access to data across our organization. Your cross-functional team will optimize flow and collection of all of our product and business data, enabling data at scale for Stack Overflow. You will own relationships with business customers and build models that enable our users to better find the information they are looking for. What you’ll do: Architect data pipelines to collect and transform data necessary for training and serving LLMs Continuously improve LLM performance and accuracy Establish metrics for user activity Act as a thought leader and influence across the company to collect data to drive additional models Assemble large, complex data sets that meet functional / non-functional business requirements Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader What we expect from you: Proven track record of working with large-scale LLMs 5+ years experience building and optimizing ML/NLP models Strong analytic skills related to working with unstructured data sets A track record of leading and mentoring less experienced data scientists. You are eager to teach others and invested in the growth of your team. Self-motivating, self-directing, and a great communicator (written and oral). You thrive in an environment that grants you a lot of autonomy to explore creative solutions. Excellent problem solving skills. You excel at analyzing and solving problems using technology. Hiring remotely in US or Canada Base salary will range from: $152K - $180K Please note the salary range above is for candidates hired in the U.S. only. For all countries outside of the U.S, the salary range will be adjusted accordingly to reflect local market compensation ranges. What you’ll get in return: Competitive Base Salary Generous paid vacation Generous parental leave (16 weeks at 100% pay), family care leave, and unlimited sick days Equity (RSUs) for all employees at all levels Industry-leading health benefits that are applicable per country of residence for all our full-time employees Company-paid Life Insurance Health & wellness stipend Home Internet stipend Professional allocation for your growth and development One-time allowance to assist with your home office setup Company-paid access to Calm, Bravely, LinkedIn Learning, MyAcademy and Overdrive Stack Overflow is proud to be an equal opportunity workplace. We value diversity, inclusion, equity and belonging and these pillars are at the heart of how we work together here at Stack. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. For individuals based in California, and other locations where required, we will consider employment qualified applicants with arrest and conviction records.
Sr Product Data Scientist	Philo 9D376F20 4D33 4Aac B145 34C9F346734D	Philo: TV on the Internet (TVoIP) At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting engagement, content discoverability, experimentation, and retention-related problems across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service. We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye. Some of the recent projects our Data Science team members have worked on include: Modeling to determine which early product behaviors predict conversion Running experiments to evaluate content personalization Building data models for analysis of lifecycle marketing communications Price sensitivity research and competitive market analyses Qualifications Philo is seeking a Senior Product Data Scientist with demonstrated understanding of statistical modeling, A/B/n experimentation practices, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams. In this role the Senior Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo. Responsibilities: Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features and defining the metrics to evaluate those features Own analytics and tracking plans, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research Iteratively improve our experimentation methods and establish best practices for A/B/n experiments Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value, retention, win-back, and content consumption metrics Key Qualifications: 10+ years of experience in a Data Science role Demonstrated ability to influence product roadmaps and business decisions with data Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques Experience with relational databases and SQL Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences Expert with statistical analysis in either R or Python Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience Experience in writing production-quality code in R/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing More about Philo We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users. Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content! We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E. Status: Full-timeLocation: Brooklyn, NY or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: Full health, dental and vision coverage for you and your family Flexible working hours Generous paid parental leave Unlimited paid time off for vacation and sick leave $2000 annual vacation bonus (we pay you to take a two week vacation) $5250 annually for professional development and educational assistance $1250 annual home office + TV stipend $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices Dog-friendly office And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Apply Now
Sr Growth Marketing Data Scientist	Philo Cc2F79A4 Ce1A 433F 840C 93C4677A7D8E	Philo: TV on the Internet (TVoIP) At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth and marketing problems. You’ll be working closely with other data scientists, analysts, marketing managers, and engineers to build and deploy solutions directly for our service. We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye. Some of the recent projects our Data Science team members have worked on include: Modeling to determine which early product behaviors predict conversion to a paid subscriber Building in-house marketing attribution models to evaluate marketing channel performance (Marketing Mix Models and Multi-touch Attribution) Performing matched market lift tests in collaboration with marketing managers Price sensitivity research and competitive market analyses Qualifications Philo is seeking a Senior Growth Marketing Data Scientist with demonstrated understanding of statistical modeling (in R and/or Python), SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams. In this role the Senior Growth Marketing Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to building and delivering software tools for our marketing team, including measurement and experiment design, and from causal analysis and post-launch learning into the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo. Responsibilities: Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and iteratively optimize the performance of our marketing efforts Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn Key Qualifications: 10+ years of experience in a Data Science role Demonstrated ability to influence product roadmaps and business decisions with data Proven expertise in building and improving marketing attribution models, including techniques such as Bayesian methods for hierarchical modeling, ridge regression, and methods for handling missing data Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques Experience with relational databases and SQL Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences Expert with statistical analysis in either R or Python Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience Experience in writing production-quality code in R or Python and delivering software tools in an iterative fashion using software engineering best practices around version control, review, and automated testing More about Philo We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users. Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content! We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E. Status: Full-timeLocation: Cambridge, MA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: Full health, dental and vision coverage for you and your family Flexible working hours Generous paid parental leave Unlimited paid time off for vacation and sick leave $2000 annual vacation bonus (we pay you to take a two week vacation) $5250 annually for professional development and educational assistance $1250 annual home office + TV stipend $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices Dog-friendly office And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors Apply Now
Sr Lead Data Scientist Deep Learning Peacock Video Streaming	Nbcuniversal	Company Description NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world. Job Description Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive. As part of the Peacock Data Science team, the Sr. Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of Peacock Video Streaming Service including, but not limited to, the recommender system, streaming content predictive modeling and MarTech. In this role, the Sr. Lead, Data Scientist will serve as an expert in advanced statistical and machine learning methodologies and lead a group of data scientists to create analytical solutions for multiple business verticals. Responsibilities include, but are not limited to Work with a group of data scientists in the development of analytical models using statistical, machine learning and data mining methodologies.Drive the collection and manipulation of new data and the refinement of existing data sources.Translate complex problems and solutions to all levels of the organization.Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.Drive innovation of the statistical and machine learning methodologies and tools used by the team. This position is eligible for company sponsored benefits, including medical, dental, and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $165,000 - $190,000 (bonus and long-term incentive eligible) Qualifications Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.5+ years of combined experience in advanced analytics in industry or research.Experience with commercial recommender systems or a lead role in an advanced research recommender system project.Working experience with deep learning, particularly in the areas different form the computer vision. Strong experience with deep learning using TensorFlow.Experience implementing scalable, distributed, and highly available systems using Google Could Platform.Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.Proficient in Python. Java or Scala is a plus.Experience in data processing using SQL and PySpark. Desired Characteristics Experience in media analytics and application of data science to the content streaming and TV industry.Good understanding of reinforcement learning algorithms.Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineeringKnowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)Experience with large-scale video assetsTeam oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools Additional Information NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
Data Scientist Dl Ai Modeling Forecasting Canada	Tiger Analytics	Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a robust Data Scientist preferably, with a Ph.D. who holds solid knowledge of deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Ph.D. (highly preferred) or Master in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Data Science experience with super deep knowledge in AI, and DL modeling coding capability as this person needs to make designs happen. Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries.A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must. Experience with demand forecasting and/or supply chain/retail forecasting is a must. Data Visualization in Tableau/PowerBIExceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Data Scientist	Spruce	About Spruce Spruce is the platform enabling modern real estate transactions. We work with forward-thinking mortgage lenders, real estate companies, and investors. We believe that the future of real estate will be driven by automation, efficiency, and digital experiences. Our mission is to provide the products and services necessary to make that happen. What you'll do Work closely with Product, Engineering, and Operations as part of a team building the industry’s first automated title search platform Use Python to collect and parse real estate records from 3rd party data sources Using this data, train and implement predictive underwriting models Convert existing offline prototype models to fully automated, high performance production systems What you'll bring 1-2 years working experience as a data scientist or data engineer Experience with Python and SQL in a work setting Experience working with data scientists and data analysts Experience following a test-driven development process Strongly Preferred Advanced degree in a quantitative field or equivalent Working knowledge of web-scraping packages such as Selenium Experience developing and / or implementing statistical models, especially in the ML / AI family $115,000 - $145,000 a year We are proud of the team we’re building. We're committed to equal opportunity employment -- and beyond. We believe diverse experiences and perspectives build a stronger team and a better product. We welcome fresh perspectives and challenge our own assumptions to make Spruce better. The more inclusive we are as a company, the better we can serve our customers.
Data Scientist	Quartet Health	Company Description: Quartet is a leading tech-enabled behavioral health company that works with health plans, systems, and provider groups to deliver speed to quality behavioral health care for all. Through sophisticated data and analytics, along with personalized services, Quartet exists to advance quality care as defined by four measures: speed to care, seamless patient experiences, improved health outcomes, and affordability. The company is backed by venture funding from top investors including Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Echo Health Ventures, Centene Corporation, and Independence Health Group. We are deeply committed to growing a diverse team and an equitable and inclusive culture where all Quartetians are empowered to be themselves and do their best work. We know this is vital in realizing our mission to improve the lives of people with mental health conditions. About the team & opportunity: As a Data Scientist at Quartet, you will work on a range of projects -- from developing statistical analyses to study impact of Quartet interventions; to predicting mental health needs among populations; to building machine learning models to suggest timely and appropriate behavioral health care interventions for patients. You will own the design and implementation of Quartet’s algorithm for identifying patients with unmet mental health needs. By leveraging knowledge of computer science, machine learning, data mining and software architecture, you’ll work to build high-quality data products (for example: an entity resolution and de-duplication library; a Machine Learning application for matching patients to behavioral health providers; data modeling for behavioral health risks given claims data). This will involve designing and developing effective models, features, and algorithms involving multiple datasets (i.e. user activity, Electronic Health Records, healthcare claims, etc.) while collaborating effectively within the Data Science team, as well as cross-functional groups at Quartet. Accountabilities: Research and develop machine-learning and statistical models in Quartet Health’s platform to identify patients with unmet mental health needs who would benefit from Quartet’s products and services. Design, develop and own data pipelines for patient identification and program evaluation. Work with data scientists on Quartet’s evaluation team to design metrics and performance evaluations for both the patient identification algorithms and Quartet’s other core service offerings. Drive a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency. Perform exploratory analyses to support core organizational objectives for internal stakeholders and external partnerships. Perform Machine Learning (ML) research and exploratory data analysis; develop model evaluation and online maintenance methodologies, including confidence estimation, calibration, and concept drift. Develop general-purpose frameworks to support machine learning applications in production. Minimum Qualifications: A Master's degree in computer science, engineering or statistics and 2+ years experience working as a data scientist. Formal training in statistics and computer science. Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics. Strong data transformation and extraction skills with SQL databases. Strong statistical programming skills in both Python and R. Comfort/self-sufficiency with the following: Amazon Web Services (AWS) infrastructure, UNIX command line, and Git for version control. Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance. Ability to clearly communicate across disciplines and work collaboratively. Preferred Qualifications: Experience working within a healthcare technology environment Comfort and experience working with Docker Application and API development experience in Python Strong background in Machine Learning (ML) Engineering Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants. Want to know what Quartet life is like? Click here to meet our team. Quartet actively encourages applicants of all backgrounds to apply and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. To perform this job successfully, an individual must be able to perform essential job duties - reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. If you require assistance in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected] Have someone to refer? Email [email protected] to submit their details to us.
Data Scientist	Sun Life	You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: This role will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This role is expected to work closely with the other functional teams, in particular the Clinical 360, PinnacleCare and Health Capability teams. This position reports to the Associate Director, Data Science within the Health and Risk Solutions business. Responsibilities include helping to develop, monitor and maintain the predictive models to support such use cases as identifying members for our clinical review process, identifying health capability opportunities, and/or proactive outreach for health navigation engagement. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes, and promoting adoption of analytic solutions deployed.What will you do? Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling. Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models. Support the development of new modeling techniques and procedures. Develop and maintain high-quality, robust predictive models using advanced analytic techniques. Extract and analyze internal and external data sources to help answer key business problems related to risk assessment. What will be needed to succeed? Proficiency with a one or more statistical programming languages, applications and data environments (e.g., Python, SQL, R, Tableau). Strong knowledge of data science including conditioning, modeling, and visualization. Strong knowledge of the fundamental statistical and AI underpinnings of data science. Expertise in data munging, transformation, and featurization. Commitment to data compliance, model governance and security protocols. Strong business acumen to understand why and how the work we do will impact our business stakeholders. Strong communication skills, with an ability to explain technical concepts to a non-technical audience. BS/MS in a statistical, mathematical, or technical field (e.g., computer science). 2+/0+ years of experience in developing and implementing data science techniques. What will be nice to have?Healthcare Claims data or health insurance experience preferred.What is in it for you?Excellent benefits with generous vacation and sick time, 401K match, noncontributory retirement plan, Paid Family Medical Leave, sabbatical program and much more friendly, collaborative and inclusive culture.Our agile work environment allows our employees the flexibility to give and feel their best at work.Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you! Life is brighter when you work at Sun Life -Excellent benefits and wellness programs to support the three pillars of your well-being – mental, physical and financial – including generous vacation and sick time, market-leading paid family, parental and adoption leave, a partially-paid sabbatical program, medical plans, company paid life and AD&D insurance as well as disability programs and more -Retirement and Stock Purchase programs to help build and enhance your future financial security including a 401(k) plan with an employer-paid match as well as an employer-funded retirement account -A flexible work environment with a friendly, caring, collaborative and inclusive culture -Great Place to Work® Certified in Canada and the U.S. -Named as a “Top 10” employer by the Boston Globe's “Top Places to Work” two years running All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you are a California resident, the salary range for this position is: -Southern region: $75,000 - $112,500 annually -Central region: $ 79,100 - $118,700 annually -Northern region: $ 84,600 - $126,900 annually If you are a Colorado resident, the salary range for this position is $ 71,600 - $107,400 annually. If you are a New York resident, the salary range for this position is $84,600 - $126,900 annually. If you are Washington resident, the salary range for this position is $79,100 - $118,700 annually. -The full range minimum and maximum listed in the job posting is tied to the GCF level and job family. We consider various factors in determining actual pay including your skills, qualifications, and experience. In addition to salary, this position is eligible for incentive awards based on individual and business performance as well as a broad range of competitive benefits. Sun Life Financial is a leading provider of group insurance benefits in the U.S., helping people protect what they love about their lives. More than just a name, Sun Life symbolizes our brand promise of making life brighter -for our customers, partners, and communities. Join our talented, diverse workforce and launch a rewarding career. Visit us at www.sunlife.com/us to learn more. At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs. #LI-remoteOur Affirmative Action Program affirms our commitment to make reasonable accommodation to the known physical or mental limitation of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email [email protected] to request an accommodation.At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs. For applicants residing in California, please read our employee California Privacy Policy and Notice. Job Category: Advanced AnalyticsPosting End Date: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Research Statistician	College Board	Research Statistician I College Board – Psychometrics NYO or Remote About the Team The Psychometrics Team supports College Board in serving more than seven million students a year as they prepare for a successful transition to college through programs and services in college readiness and college success. College Board’s Psychometrics provides its partners with measurement solutions that set the standard for quality, efficiency and innovation through operational excellence and research leadership that advances the field of Psychometrics and supports College Board’s mission of access and equity in Education. About the Opportunity This Research Statistician I position is part of the Advanced Placement Psychometric team and will be responsible for supporting both operational and research psychometric work. You will have opportunities to innovate and help find new or improved ways to accomplish the tasks at hand. You will work individually and collaboratively with members of the team and the greater organization on operational data and statistical analyses, research discovery, documentation, procedures, reporting projects, and research projects. In this role you will: Statistical Analysis Support operational work by performing standardized analyses Support statistical analyses using large-scale internal data Produce standard tables and graphical displays of large-scale statistical results Produce data aggregations (descriptive statistics, correlation coefficients) Write basic queries, programs, and generate reports representing a variety of formats Work with a variety of data files representing item-, student-, school-, district-, institution-, state- and national-levels Data Manipulation Help organize data into a variety of formats to permit for use in specialized statistical software used for research or psychometric work Manipulate output from statistical analysis for use in statistical analyses Quality Management Maintain process maps and procedures for efficient and thorough documentation of how the statistical analyses were completed and reports were generated Create and maintain dataset documentation and layouts Implement QC procedures on all statistical analyses Identifying and implementing the quality checks and validations for critical business process changes/impacts. Performing detailed review of project deliverables/outputs such as process documents, publications, requirements etc. Research Support the fulfillment of large-scale, strategically important research and analysis projects Undertake research and analysis projects as secondary investigator Implement QC procedures on all statistical analyses Provide personalized data representing a variety of data sources (internal) to research scientists and psychometricians. These data include student performance, meta data, standards, student overall test scores, school/district/institution data and related attributes Provide research support and guidance to colleagues About you You have: Bachelor’s degree in statistics, social science, math/science field or equivalent experience One to three years of demonstrated proficiency with statistical analysis programing (SAS, R, or Python preferred) Experience handling and manipulating large-scale data Experience with Microsoft Office programs (Word, Excel, Access, PowerPoint, and Outlook), with an emphasis on MS Word and Excel Scripting and programming skills, and data-oriented personality Strong organization, prioritization, and multitasking skills, both independently and as the member of a team Adept problem-solving skills, including using data to inform decisions and actions Research skills and expertise in methodology Ability to translate general inquiries into analysis questions and tasks Excellent communication and interpersonal skills Keen attention to detail Ability to function in a team-oriented unit About Our Benefits and Compensation College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education. Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more. We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions. We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $56,000-100,000 USD. The salary offer of an individual candidate within this range is specific to their location and qualifications. Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process. As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive! #LI_gg1#LI_Remote
Research Scientist Nlp	Kensho	Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us create state-of-the-art models across a variety of domains! Are you looking to solve hard problems and enjoy working with teammates with diverse perspectives? If so, we would love to help you excel here at Kensho. We are a collaborative group of experienced Research Scientists and Machine Learning Engineers, whose academic backgrounds include doctorate degrees in NLP, theoretical physics, statistics, etc. We take pride in our team-based, tightly-knit startup-like Kenshin community, which fosters continuous learning and a communicative environment. About the role: Since early-2022, we have been building a world-class R&D lab comprised of ML/NLP Research Scientists. Our small team has demonstrated compelling results and is fueling innovation throughout Kensho and S&P Global at large. Specifically, we are continuously building a domain-specific Large Language Model (LLM) and are actively working on question-answering (QA), summarization, and document layout analysis. We are looking to hire NLP Research Scientists with expertise in any of the following: question-answering, summarization, dialog system, reinforcement learning, and distributed systems. In particular, we are currently prioritizing question-answering and are addressing: -Dialog-based QA that leverages APIs, program synthesis, and large knowledge-graphs/databases to help ensure accurate answers -Long-form document QA, where the answer is expected to be contained within a user-specified collection of documents -Math-based QA, where the answer requires automatically parsing tables for relevant information and then performing basic mathematical operations to yield the correct answer (e.g, FinQA, TAT-QA, ConvFinQA) You will collaborate with our R&D team in conducting and publishing research in the top conferences. At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events. What You'll Do: Collaborate with others to identify the most promising problems to pursue Develop novel, state-of-the-art NLP models that can scale to millions of documents Work closely with Research Scientists and ML Engineers Write clean, readable research code in PyTorch, TF, or JAX (not expected to write production-level code) Contribute to a stellar engineering culture that values excellent design, documentation, testing, and code Share your research results with your colleagues (presentations) and the world (published papers, patents, and blog posts) Who You Are: Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most of our successful candidates possess the following, which reflects both our technical needs and team culture: Hold a PhD in Computer Science or related field (or a Master’s with significant research experience) Have published in a top-tier ML/NLP conference (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML) Are proficient in writing code in PyTorch, Tensorflow, or JAX Have experience with the techniques required to work effectively with large, messy real-world data Prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently Have a love for learning new skills and domains Are excited to share knowledge freely, proactively, and effectively with others who are interested Are a generous teammate who takes work seriously without taking yourself too seriously Technology We Love ML: PyTorch, Weights & Biases, NetworkX Deployment: Airflow, Docker, EC2, Kubernetes, AWS Datastores: Postgres, Elasticsearch, S3 At Kensho, we pride ourselves on providing top-of-market benefits, including: - Medical, Dental, and Vision insurance - 100% company paid premiums - Unlimited Paid Time Off - 26 weeks of 100% paid Parental Leave (paternity and maternity) - 401(k) plan with 6% employer matching - Generous company matching on donations to non-profit charities - Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences - Plentiful snacks, drinks, and regularly catered lunches - Dog-friendly office (CAM office) - In-office gyms and showers (CAM, DC) - Bike sharing program memberships - Compassion leave and elder care leave - Mentoring and additional learning opportunities - Opportunity to expand professional network and participate in conferences and events About Kensho Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global. As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion. We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Senior Data Scientist	Shelf Engine	At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for food retailers, suppliers, and food service companies across the United States. We’re able to drastically reduce the amount of food waste which in turn drives profit for our customers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste. We are excited to invite applicants for the role of Senior Data Scientist to report directly to our Head of Data Science. As part of the Data Science team, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop best-in-class machine learning and advanced statistical models to achieve business objectives. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job. This position is based in Seattle, WA or remote. As a Senior Data Scientist at Shelf Engine, you will: Research, build, and launch machine learning and advanced statistical models to solve complex problemsBe part of a highly collaborative and supportive Data Science teamProvide technical mentorship and expand training to improve data science best practices Design, analyze, and interpret the results of experimentsCommunicate project results to a range of internal audiencesWork closely with Product, Engineering, Operations, and customer-facing teams to identify problem areas and develop robust, scalable solutionsEmbrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers What we are looking for in a candidate: You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic2+ years industry experience with some combination of:Experience putting models into production or with a live online system (code quality, testing, monitoring)Experience working with big data and standard tooling (e.g. Python, SQL, Spark)Experience with performance monitoring and automated alertingExperience with production ML tooling (e.g. Airflow, Databricks, Azure, AWS, or GCP)You have experience in advanced machine learning (e.g., SVM, Random Forest, Bayesian inference, neural networks, etc), statistics, experimentation, and optimizationYou have a Masters or PhD degree in a STEM fieldYou are authorized to work in the U.S. for any employerNice to have: experience building supply chain or inventory management solutions What Shelf Engine offers you: A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environmentAn inclusive work environment that emphasizes each team member’s personal and professional growthCompetitive salary in the range of $140,000 to $180,000 depending on skills and experiencePre-IPO equity with a four-year vesting schedulePTO that is unlimited and self-managed for full-time employees100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependentsCoverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance ProgramOptional employee contribution of pre-tax dollars to medical and dependent care FSA accounts401k plan through Guideline to contribute to your financial futureSeattle only: Company-paid ORCA transit card About Us At Shelf Engine, you will join an inclusive team of driven, passionate, and caring people hungry for change in an untapped industry. Our founders are well versed in the food industry and have successfully built product and engineering teams. We’re not only solving complex technical problems at scale but tackling key initiatives with large environmental impacts. We're a tight-knit and passionate team that is determined to disrupt a massive industry and leave behind a positive legacy for generations to come. Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Data Scientist Mlops	Shelf Engine	At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for food retailers, suppliers, and food service companies across the United States. We’re able to drastically reduce the amount of food waste which in turn drives profit for our customers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste. Shelf Engine is searching for a talented Senior Data Scientist to report directly to our Head of Data Science. In this role, you will be responsible for designing, developing, and maintaining the data pipelines and engineering infrastructure that support data science models at scale. You will also help develop and deploy scalable tools to provide experimentation tracking, model deployment, drift detection, and other model maintenance. In addition, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop and deploy best-in-class machine learning and advanced statistical models to achieve business objectives. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job. This position is based in Seattle, WA or remote. As a Senior Data Scientist at Shelf Engine, you will: Implement cutting-edge tools and technologies that enable model training, registration, deployment, and monitoring at scaleWork closely with Data and Software Engineers to ensure reliability of our live production environmentProvide technical mentorship and expand training to improve data science best practices Work closely with Product, Operations, and Customer teams to identify problem areas and develop robust, scalable solutionsResearch, build, and launch machine learning and advanced statistical models to solve complex problemsEmbrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers What we are looking for in a candidate: You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic3-5 years industry experience with some combination of:Experience putting models into production or with a live online systemExperience working with big data and standard tooling (e.g. Python, SQL, Spark)Experience with performance monitoring and automated alertingExperience with production ML tooling (e.g. Databricks, Azure, AWS, or GCP)You have worked in a production environment and can incorporate testing, monitoring model performance, Git, and Airflow into your workflowYou have experience in advanced machine learning, statistics, experimentation, and optimizationYou have a Masters or PhD degree in a STEM fieldYou are authorized to work in the U.S. for any employer What Shelf Engine offers you: A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environmentAn inclusive work environment that emphasizes each team member’s personal and professional growthCompetitive salary in the range of $140,000 to $180,000 depending on skills and experiencePre-IPO equity with a four-year vesting schedulePTO that is unlimited and self-managed for full-time employees100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependentsCoverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance ProgramOptional employee contribution of pre-tax dollars to medical and dependent care FSA accounts401k plan through Guideline to contribute to your financial futureSeattle only: Company-paid ORCA transit card About Us At Shelf Engine, you will join an inclusive team of driven, passionate, and caring people hungry for change in an untapped industry. Our founders are well versed in the food industry and have successfully built product and engineering teams. We’re not only solving complex technical problems at scale but tackling key initiatives with large environmental impacts. We're a tight-knit and passionate team that is determined to disrupt a massive industry and leave behind a positive legacy for generations to come. Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Staff Data Scientist New Initiatives	Dropbox	Company Description Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We’re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today. Wouldn’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots. The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history. Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you’ll join us on the journey. Team Description Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust. Role Description How many times you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission? As a Staff Data Scientist for this new division, you will exactly get to do that. You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business. As a ground floor opportunity for this startup team, we need this staff DS to build a top-tier data-informed culture with a lot of focus on AI/ML impact and execution! Responsibilities You will serve as the data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approachYou will partner closely with leadership across all functions while being focused on the AI/ML team work - Product, Engineering, Design, and ResearchYou will have the seat at the table for every key decision for AI-first strategiesYou will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI/ML capabilities’ long-term growthYou will create a culture of strong technical ownership, resulting in highly reliable products and services at scaleYou will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmapsYou will perform analytical deep-dives to analyze AI related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques Requirements Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field8+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company5+ years serving as a AI/ML technical leader and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designersProven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impactAbility to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmapAbility to analyze large datasets and have first-hand experiences of owning ML models from A to Z including data collection to deploying the models in the production environment, with a track record of driving directly measurable product or business impact. Be proficient with SQL, Python and other coding languages frequently applied in the AI/ML production environment, with deep understanding of statistical analysis & experiment designPrevious experiences coaching and mentoring Jr data scientists to scale the team productivity Total Rewards For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $210,800 - $248,000 - $285,200. For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $189,700 - $223,200 - $256,700. For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $168,600 - $198,400 - $228,200. Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to: Competitive medical, dental and vision coverage (US Only) Competitive 401(k) Plan with a generous company match and immediate vesting Flexible Time Off/Paid Time Off, paid holidays, 11 Company-wide PTO days, Volunteer time off and more Protection Plans including; Life Insurance, Disability Insurance and Travel benefit plans Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much more Parental benefits including; Parental Leave, Child and Adult Care, Day Care FSA (US Only), Fertility Benefits (US Only), Adoption and Surrogacy support and Lactation Support Mental Health and Wellness benefits Free Dropbox space for your friends and family Additional benefits details are available upon request. Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
Decision Scientist	Tydo	About Us At Tydo, you’ll get the benefits of working directly in the consumer product world while also tackling exciting data visualization and science problems. We are meeting-lite, lean, focused, and hungry. We solve complex problems with boring solutions and build products that benefit the customer over all else. We enjoy working with each other and are excited to help Brands and their Partners grow. We are a data first company; we load it, transform it, and tell stories with it. We’re backed by Founder’s Fund, Greylock Partners, YCombinator and top-tier eCommerce and fintech founders. About the Role We are seeking a skilled Decision Scientist with outstanding SQL skills to join our Analytics team. You'll play a pivotal role in our company's success by closely collaborating with top D2C Brands and Partners to create customized reporting solutions. In this role, you will leverage your expertise in data analysis, modeling, and visualization to extract insights and help customers grow their businesses. A large part of this role will also entail finding ways to scale out dashboard creation through automation. Today, this will be working directly with the Data Team to design new schemas and reusable internal data products. In the future, it will be building more sophisticated data and reporting packages at scale with a team to implement individual dashboards. The ideal candidate possesses strong communication skills, enabling them to effectively understand client needs and present actionable insights to a diverse range of stakeholders, ultimately shaping the future growth and success of Tydo and the D2C ecosystem. Why the Role Is Unique Model Complex, Real-World Problems - The highest impact data products for modern D2C businesses arise from where discrete data are joined. In this role, you’ll leverage the Tydo data platform to derive complex insights from services that businesses rely on to operate. As a data expert, you’ll also have the opportunity to research and implement solutions on novel metrics and models.See Your Impact - You will work directly with ecommerce and product leaders in companies that are revolutionizing the consumer landscape. Unlike traditional Data Science roles, you’ll see firsthand how Brands and Partners rely on your modeling to grow their business.Combination of DTC + SaaS - You get the best of both worlds: B2C and B2B. We aren’t your typical SaaS company in that we are catering to people who understand how to market to consumers REALLY well. So we get to be experts in both.Inside View of Leading Companies - This role is an interesting way to get an inside view of strategies from leading DTC companies. You will get to learn from the leaders, understand trends across the industry, and become a knowledge expert in growing industries like DTC, e-commerce, analytics, performance marketing and machine learning. Responsibilities Collaborate closely with D2C brands and partners to understand their specific data and reporting requirements.Develop, implement, and maintain customized reporting solutions built with SQL and Python that address client needs and drive data-driven decision-making.Apply statistical modeling techniques to uncover hidden patterns, trends, and insights that inform business strategies.Create visually appealing and easy-to-understand data visualizations and dashboards for clients, including technical and non-technical stakeholders.Stay up-to-date with industry best practices, emerging technologies, and trends in data science, ensuring our solutions remain competitive.Work cross-functionally with our Product, Engineering, and Data teams to help drive data product architecture and strategy. About You At least 2-4 years of experience in an analytical role, having worked in a related area such as operations, finance, customer acquisition or retention.B.A./B.S in Math, Statistics, or related quantitative discipline.Located in Western US Time zone. Big plus if in West Los Angeles.A strong background in quantitative analysis, specifically in advanced modeling techniques to solve business problems in operations and finance, such as forecasting demand, inventory planning, and LTV and cohort analysis.Advanced SQL knowledge (window function, CTE, etc) as well as applied experience of statistical analysis techniques in a related field, such as financial modeling, customer segmentation, and working with discrete data sets from core business servicesYou’re a strong analytical thinker with experience working with large datasets, including statistical analyses, data visualization, data mining, and data cleansing/transformation.You have strong project management skills and a sense of ownership over your work including monitoring and maintenance.You have excellent problem-solving skills and the ability to get up to speed on complex systems, break down problems, and develop rigorous quantitative POVs very quickly.A true self-starter, comfortable working in a fast-paced environment, managing your own priorities and adapting where challenges and opportunities are commonplace. You are enthusiastic about remote work.Advanced Data visualization skills in Looker or similar product is a plus.
Sr Data Scientist Search Relevance Zoro	Zoro	Company Summary: Zoro offers millions and millions of products — an endless aisle with everything you need to run your business. We offer fast and free shipping, no-hassle returns, and exceptional customer service. We’ve grown quickly in a short time and are continuing to do so while aggressively growing our revenue. We are excited to be a part of an award-winning culture — we have been named a Great Place to Work for multiple years in a row, among other local and national accolades. We think Zoro is a pretty amazing place to work and grow, and think you will too! Position Description: Are you ready to take on the technical challenges of a very successful and fast-growing eCommerce company backed by an industry leader? At Zoro, we are transforming from a scrappy startup into an eCommerce juggernaut, and we want your talent to help us get there. That means there are plenty of opportunities to get hands-on with transformative work which make an impact each and every day. Zoro’s Technology Group is embarking on an exciting journey to build an in-house search platform, which will be one of the core technologies that separates us from our competitors. We want to develop a platform that is tailored to Zoro’s product assortment and specific user needs so that customers can easily navigate our 10M+ products to find what they need. Our team is responsible for providing Zoro customers with relevant search results by effectively combining ElasticSearch capabilities, data science models, and technology solutions. We’re looking for an experienced Senior Data Scientist who understands search engines such as ElasticSearch and/or Solr. As a member of the Search team, you’ll be an integral part of a talented, cross-functional group that will build and operate dynamic and scalable systems powering a core functionality of our customer experience. You will collaborate with other data scientists and analysts to solve complex information retrieval problems using NLP, predictive modeling, deep learning and more. You will also work closely with software engineers and product managers to address business priorities and integrate solutions into the broader search platform. Your experience, your knowledge and your perspective will add value on our journey and help the team deliver products that make a difference. Our product teams deliver constant improvements to zoro.com. You will be on a high performing scrum team with approximately 2-3 data scientists, 4-6 software engineers as well as a dedicated tech lead, product owner, and architect. Responsibilities: Lead the configuration of ElasticSearch queries, algorithms and analyzers based on internal data structures and customers’ search patterns Have experience working in information retrieval technologies, ingest pipelines, and indexing layers An understanding of relevance engineering (experience with Elasticsearch, Solr and/or Lucene is a plus) and relevance tuning Develop solutions involving NLP, product retrieval and ranking to serve our customers with relevant results Tune application performance by investigating the slow performing requests and analyzing the resource utilization of the application infrastructure As a senior data scientist, you’ll be expected to contribute to standards that improve developer workflows, recommend best practices, and help mentor junior team members to grow their technical expertise Comfortable working in a collaborative, ambiguous, fast-paced and dynamic work environment to help solve complex problems Expected to work effectively with engineers, product managers, data scientists, analysts and business stakeholders Produce clean, high-quality code, tests, and well written documentation Participate in code and design reviews with peers and partners Qualifications: Degree in Computer Science, Data Science, a related technical or scientific field, or equivalent experience 5+ years experience as a data scientist Experience of Information Retrieval and/or Natural Language Processing Strong preference given to candidates with demonstrated domain knowledge in eCommerce Search and Recommendations technologies Experience with Search platforms such as Solr and ElasticSearch, including configuration and schema optimization Experience of software development in Python Experience using Docker and/or Kubernetes, Istio Experience working with web applications, web services, and/or APIs at scale Experience with large-scale data processing Zoro Values and Inclusive Culture: We share a commitment to our Zoro values – Win & Lose Together (We prefer winning!), Take Ownership, We Are Transparent, and Aspire to be Customer-Obsessed. Everything we do at Zoro is centered around delighting our customers. It's a natural extension of our company culture and how we care for each other. We believe when we act in ways that are consistent with these values, we can solve any technical challenge that lies ahead of us. As a Zoro employee, you can expect to work with smart, energetic people, learn something every day, and be valued for your perspective. Zoro is dedicated to fostering an environment where people of all backgrounds and beliefs are represented, and all team members can be confident that their experiences and perspectives are valued. Zoro aims to empower all employees to learn about, raise awareness, and promote diversity and inclusion through all of our workplace interactions. Zoro is a place where everyone can learn, grow and thrive. We recognize the courage and effort it takes to apply for your next opportunity. We also recognize that there is rarely such thing as a perfect candidate. Even if you do not meet every qualification, we still encourage you to apply -- we do not want to miss out on meeting the next person who could emerge as a key contributor to our business and culture. #li-remote Zoro is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Data Scientist Marketing Measurement And Attribution	Daily Harvest	About Daily Harvest At Daily Harvest we take care of food, so food can take care of you. We're committed to helping you nourish your body while taking care of the planet. How? By making it easy to eat more real, unrefined and sustainably sourced fruits and vegetables every day. Our team is collaborative, driven, and future-thinking. We're constantly learning, experimenting, and iterating, and celebrate failure just as much as success. We take risks, try new things, and we get things done. We love adaptogens and cruciferous vegetables but never say no to cake. Everything we do, we do in the service of our community. Position Overview Daily Harvest is looking for a Data Scientist to join our Data team. The Data team uses data to create better customer experiences, enable smarter business decisions, and drive innovations company-wide. You will build sophisticated data products and develop machine learning models that strengthen our competitive advantage. In this role, you’ll work with a modern data stack including GCP / Bigquery, Fivetran, dbt, Airflow and Segment. You’ll support the growth and lifecycle strategy by analyzing tough marketing problems, build and ship models that enable high-quality decision making. You will be a valued thought partner, helping the business define and implement the best approaches to drive marketing decisions as we create a new category and the next great consumer brand in food. This is a highly visible role that has the opportunity to make a big impact on the business. What you’ll do: Lead the relationship with key partners on our Marketing teams including Brand, Growth and Lifecycle Marketing to build awareness, increase acquisition, and improve retention with data products Develop, maintain and improve statistical and machine learning models to drive company’s marketing decisions Develop forecasting and spend optimization practices to advance our marketing measurement and planning capabilities for the company’s budget cycles Design and measure marketing experiments to determine the impact of marketing efforts Dive into marketing channels (Social, Search, Email, and TV, etc.) to further scale and optimize our portfolio Communicate effectively with both technical and non-technical cross-functional partners Who you are: 3+ years of building statistical and machine learning models for marketing Master’s degree (or equivalent practical experience) in Statistics, Computer Science, Engineering, or Mathematics, or related quantitative discipline -- PhD a plus Strong Python and SQL background Extensive experience with model development, evaluation and experimentation (specific areas of highly relevant concepts include Bayesian statistics, multilevel and generalized linear models, time series forecasting, markov chain attribution, budget optimization) Experience using PyMC3 or any other Bayesian modeling framework is a huge plus Experience with media mix optimization and attribution models Strong understanding of web tracking and digital marketing Excellent communication skills, including data visualization Ability to thrive in an unstructured, fast-moving and constantly evolving hyper-growth environment Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting E-commerce experience, especially within a subscription company is a plus Benefits: Unlimited PTO Plan + flexible working hours Equity participation + 401K Competitive medical, dental, + vision insurance Fun IRL + virtual quarterly team events, happy hours, + DH team gatherings to celebrate our co-workers Ancillary benefits: Commuter, Citi Bike discounts, + Health & Wellness Perks Annual company retreat Unlimited Daily Harvest in the office to keep you hustling, not hangry (...always stocked) In office access to everything we create (including recipes in development) At Daily Harvest, our mission is to take care of food, so that food can take care of you. And it wouldn't be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, color, religion, military or veteran status, sex, gender, gender identity or expression, sexual orientation, national origin, age, disability or genetic information. These are our guiding principles and apply across all aspects of employment.
Sr Data Scientist Ads Machine Learning	Reddit	We are looking for a Senior Machine Learning Data Scientist to join the Ads Quality team. You will work closely with engineers and product owners to 1) set up the vision and product strategy of ads quality and relevance, 2) optimize ads delivery and auction systems through utility function design, 3) measure various marketplace tradeoffs. This person possesses a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Responsibilities: Research, design and develop contextual ad relevance models. Reddit ads are a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ad quality. You will design metrics and mechanisms to understand different tradeoffs between user engagement and ad quality. You will develop algorithms that would optimize both ad quality and ad delivery. Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements. This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models. Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling. What We Can Expect From You: Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields Master’s or PhD degree is preferred but not required Proficiency in machine learning, statistical modeling, and optimization Understanding of experimentation and causal inference analyses Strong analytical and communication skills Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow) Computer vision experience strongly preferred Strong skills in SQL and programming (Python or R)
Senior Marketing Data Scientist	Rec Room	Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! Rec Room continues to grow quickly (640% year over year on mobile!), thanks to the great product and our experienced marketing team. As the Senior Marketing Data Scientist, you’ll work closely with the Growth org to build out our foundational data sets and add a higher level of sophistication to our marketing analytics. You’ll think through developing our in-house methodology for evaluating marketing efficiency, providing visibility into previously difficult-to-understand channels, and helping us acquire users that are best for the business. You’ll be joining the quickly growing Data team, composed of Analytics Engineers and Product Data Scientists, and work off an entirely modern infra. The team is focused on driving impact through the product, and as the Marketing DS, you’ll have the opportunity to define our growth strategy. WHAT YOU'LL DO: Work collaboratively across functions, regularly interfacing with the Marketing, Product Growth, and the Creator teams to optimize our marketing spend and outreach programs Partner with marketing leadership in strategy development, goal setting, and budget planning Provide end-to-end campaign support, spanning from pre-campaign goal setting and measurement plan development, to in-campaign performance insights and optimization recommendations, to post-campaign evaluation and lessons learned Provide strategic guidance by identifying predictive behavioral patterns that result in high-value users Lead experimental design for A/B tests across platforms Work with the events and creators team to define programs and incentives that can grow our userbase amongst key cohorts Own our LTV model that powers our marketing spend and decision making Work closely with our Analytics Engineering team to define some of our most important metrics, and build out the datasets that can power our next phase of data-driven marketing Develop and improve our performance marketing reporting platform WE ARE LOOKING FOR INDIVIDUALS WITH: 5+ years of marketing analytics experience, with a proven track record of deriving insights that lead to significant marketing budget reallocation A Bachelor’s or Master’s in Math, CS, or related field Very strong knowledge of SQL Experience with Python or R is a plus Experience with media mix modeling a plus Experience with gaming LTVs a plus Effective communicator with the ability to distill complex concepts into easily digestible insights Adept in visualization tools such as Tableau or Looker COMPANY INFO TO KNOW: Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life. Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Data Scientist Senior	Pnc	Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist within PNC's Retail Lending organization, you will be based within the PNC footprint. This is a remote position that can sit within the PNC footprint, although it may not be available in all jurisdictions. In this role you will:• Join a team of data scientists and engineers, in collaboration with product managers to uncover and prevent complex fraudulent activity within a wide variety of products and channels• Utilize a wide array of technologies such as Python, PySpark, Tableau, Neo4j and others to identify anomalous patterns within large amounts of transactional data • Build and implement traditional and machine learning models (Logistic Regression, XGBoost, Random Forest, Collaborative Filtering, Neural Networks, etc.) models from inception to implementation, while collaborating with product managers and business leaders to drive fraud objectives Preferred Qualifications:• Experience in data mining/exploration in banking or similar industries, with an emphasis on large data and effectively communicate insights and results• Knowledge of statistically modeling and analytical techniques (supervised, unsupervised, clustering, classification, etc.)• Comfortable with a team-based project structure, with experience in code collaboration tools such as Git and JIRA focused on developing modular, readable, and adaptable code • Strong understanding of data engineering, with the ability to transform raw data into robust features as input to machine learning algorithms Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.Directs the data gathering, data processing and data mining of large and complex datasets.Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Competencies Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system. Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered. Education Masters Additional Job Description Base salary: commensurate with skills and experience Benefits PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC. Disability Accommodations Statement: The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at [email protected]. The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET. Equal Employment Opportunity (EEO): PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Data Scientist Analytics Trust Safety	Twitch	About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It’s where millions of people come together to chat, interact, and make their own entertainment. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter, get interviewing tips on Instagram, and discover projects we’re solving on our Blog. About the Role Data is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with the team, shaping the way we build and refine operational processes, measure the efficacy of policy and deliver insights about safety that influence the way Twitch products are built. You will define what questions should be asked, and scale analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team. For this role, we're looking for a data scientist who will assist our Trust & Safety team, with a heavy focus on forecasting and planning to assist operational excellence. The Trust & Safety team's mission is to make Twitch the trusted place for creators to build thriving communities. Your role on the team is to level up the understanding and capabilities of Trust & Safety stakeholders and guide them towards better decision making from the available data. In a typical week or month, you will be responsible for data instrumentation, dashboard/report building, metrics reviews, and ad hoc analysis. This position can be based in San Francisco, CA or remotely across the US. You Will: Own one or more safety data verticals end to end; drive workstreams including data pipelining, data analysis, metric definition, dashboard building and data visualization. Design and deploy end-to-end process and best practice tooling standards for forecasting and demand planning. Own and improve demand planning KPIs on forecast accuracy by leveraging historical data and understanding upcoming policy and product changes Cultivate relationships with cross-functional partners across operations, product, policy, and engineering to remove roadblocks, provide insight, and execute on high-impact projects to reduce harm to the Twitch community. Prioritize and execute in the face of ambiguity: work with stakeholders and mentors to distill the problem, adapt your tools to answer complicated questions, and identify the trade-offs between speed and quality of different approaches. Create analytical frameworks to measure team success: partner with cross-functional teams to define success metrics, create approaches to track the data and troubleshoot errors, quantify and evaluate the data, then develop a common language for all colleagues to understand these KPIs. Operationalize data processes - provide the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business. Work with product and engineering teams to build and maintain our data infrastructure to ensure the ability to use data to turn into insights. You Have: 3+ years of operations planning, demand planning, or forecasting experience 3+ years of industry experience in a relevant field Bonus Points Knowledge of demand modeling (e.g., forecasting, planning, optimization etc. and its application to solve real-world staffing problems) Experience with model building using regression, forecasting, time series, classification, cluster, etc. Experience with quantitative analysis and hypothesis testing Strong technical data skills including experience with a SQL dialect and experience building tools and automation to clean, transform, merge, and visualize data in a procedural language Experience with data analysis and visualization tools (SQL, Tableau, Mode, Looker). Programming language skills with R/Python, Statistics or mathematics tools like R, MATLAB, SAS Proven track record of using data to generate insight and drive business results Effective written and verbal communication skills to justify forecasting plans to influence peers and executives. Comfortable working independently; strong prioritization skills and demonstrated ability to manage stakeholder expectations Must be comfortable working with highly sensitive and/or disturbing content Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.) We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The base pay range for this position in Colorado, Connecticut, Washington and New Jersey is $144,000 - $176,000 yr and in New York City is $162,360 - $198,440 yr. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Twitch's internal or external careers site. Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation. Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates. Job ID: TW7772
Senior Data Scientist	University Of Michigan	Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Note: Remote or Hybrid work arrangement options are available for this position Summary Are you wicked smart? Do outer joins and random forests make you giddy like when you were a kid at the toy store? Do we ever have a position for you! We are in search of a Senior Data Scientist/Machine Learning (ML) Specialist to develop predictive analytics that will help improve the treatment of patients in critical care areas such as neurologic emergencies, sepsis, cardiac arrest, and combat casualty care. This position offers a unique opportunity in the areas of data science and analytics at the Weil Institute For Critical Care Research and Innovation within Michigan Medicine’s Department of Emergency Medicine. Research in our institute focuses on developing clinical decision support systems and a real-time analytics platform for developing and translating advanced data science into critical care. We are looking for an ambitious, talented, and self-motivated individual with an interest in solving problems as an analytical thinker. Therefore, the candidate is expected to be a dynamic problem solver who is not afraid to “fail fast” as we look to develop the best analytics possible. This role requires active collaboration with our Data Science team as well as with other clinical collaborators within the school and in other institutes. This collaboration will include requirements gathering to ensure we fully understand exactly what “done” looks like before we start the development of a project. Who We Are The Weil Institute Overview The Weil Institute at the University of Michigan is one of the world’s first comprehensive research enterprises devoted to transforming critical care medicine by accelerating science and moving it from bench to bedside. To do this, the Weil Institute brings together integrative teams of world-class U-M scientists, clinicians, and engineers with industry partners and funding sources to develop and deploy cutting-edge solutions that elevate the care, outcomes, and quality of life of critically ill and injured patients and their families. Responsibilities* Additional responsibilities include: Lead the design, development, and delivery of cutting edge machine learning algorithms Identify data sets needed to develop analytics through consultation and collaboration with faculty, researchers, clinicians, and team members. Translate customer use case requirements into Weil solution designs, demos, and project proposals Communicate clearly and consult with our multi-disciplinary team of scientists, developers, and clinicians. Be an expert on the latest machine learning techniques, methods, and research, and how each of these apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results Required Qualifications* In additional to the above requirements, candidates must also possess the following qualifications: Masters Degree in Engineering, Computer Science, Applied Mathematics, Statistics, Data Analytics, Health Informatics, or equivalent experience Demonstrated technical knowledge of commonly used data science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL) Willingness to learn and quickly adjust to new tools and systems Capable of converting ambiguous problem statements into concrete project requirements Passion for data-driven results and customer initiatives Excellent verbal and written communication skills including the ability to communicate effectively and professionally with colleagues and stakeholders. Ability to understand and explain technical concepts to non-technical stakeholders. Confident teaching and coaching abilities Work Locations Location Our office is located on the University of Michigan campus in Ann Arbor, Michigan. This position is open to candidates who are seeking remote and/or hybrid location flexibility. Background Screening Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer. U-M COVID-19 Vaccination Policy COVID-19 vaccinations, including one booster when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine. This includes those working remotely and temporary workers. More information on this new policy is available on the U-M Health Response website or the UM-Dearborn and UM-Flint websites.
Data Scientist I	Lightcast	The Data Scientist works with the Product and Data teams to clean, organize, and analyze large volumes of data and produce innovative models, datasets, and visualizations that address our clients’ most pressing problems about the future of work. Major Responsibilities: Use SQL, Python, or other related analytical tools and programming languages to query, organize, clean, and analyze large datasets. Build pragmatic, scalable, and statistically rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art statistical and machine learning methodologies on top of Lightcast's data infrastructure. Support product development by performing quantitative analysis using Lightcast’s world-class demand and supply data, as well as other data sources to investigate, manipulate, and model solutions for products. Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations. Communicate key insights and recommendations to internal and external stakeholders across the organization. Develop innovative analytical models and document the methodology and findings in a manner accessible to a variety of audiences. Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague. Perform other duties as assigned. Education and Experience: 1 - 3 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches. Bachelor's degree in Data Science, or a field with a strong quantitative and analytic focus such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, or other related field. Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work. #LI-Remote
Data Scientist	Lightcast	A Data Scientist at Lightcast works with the Product, Data, and Classifiers & Extractors teams to produce state-of-the-art models and enriched datasets that address our customers’ most pressing problems about the future of work. A successful candidate will have a strong knowledge of current NLP capabilities, and be comfortable working with big data to build high performance text-based models. Responsibilities: Assist in the development of new and existing classification models that process billions of documents at a time. Research methods to expand, augment, and enhance labeled datasets. Work closely with Classifiers and Extractors engineering team and Data Engineering team to integrate models and deliver to production environments. Work with and manage very large (and messy) data sets; build ML pipelines that scale to work with this data effectively. Perform statistical analysis to understand model performance. Knowledge, Skills, Abilities: Experience building and testing ML models or building applied multivariate statistical models, particularly for data classification Experience with self-supervised and semi-supervised learning. Proficiency with Python and/or related analytical programming languages Familiarity with Machine Learning and data processing related Python packages such as Scikit-learn, Pandas, Numpy, or Tensorflow. Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity, and inclusion. We seek dynamic professionals from all backgrounds to join our team, and we encourage our employees to bring their authentic, original, and best selves to work. #LI-Remote
Data Scientist Insights Analytics	Virta Health	Virta Health is on a mission to transform diabetes care and reverse the type 2 diabetes epidemic. Current treatment approaches aren’t working—over half of US adults have either type 2 diabetes or prediabetes. Virta is changing this by helping people reverse type 2 diabetes through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and live diabetes-free. Join us on our mission to reverse diabetes in 100M people by 2025. As a full stack health care company of physicians, engineers, marketers and more under one roof, Virta collects comprehensive data on our patients’ experience, and leverages this data to build the next generation of health care for chronic diseases. Here at Virta, we rely heavily on Data and Analytics to optimize our product and workflow to improve our company’s KPIs as well as to demonstrate the value of the Virta Treatment to our customers. We collect and organize disparate forms of patient data from both internal and external sources to generate insightful analyses. We are looking for a senior data analyst/scientist with considerable experience working with healthcare data to help us collect, organize, and analyze this data, to generate insights and reports that we can use to further improve Virta’s performance. Responsibilities Execute I&A strategic plan to maximize Virta’s ability to leverage data to identify actionable insights to improve company performance Generate reports (some in Looker) on KPIs, optimize and automate where possible Participate proactively, in Squad level projects, including product, workflow redesign experimentation, advising ways to optimize the design through thoughtfully designed analyses Operate in an agile fashion, prioritize allocation of limited resources to projects with the highest importance Build pipelines that translate claims, clinical, and engagement data from our warehouse to inform experimentation and other analytic needs Proactive identify and pragmatically solve challenges, including imperfections in data. Lead cross-functional analytics meetings to keep stakeholders apprised of relevant KPIs and experiment outcomes Support other I&A functions as the need arises 90 Day Plan Within your first 90 days at Virta, we expect you will do the following: Become familiar with I&A’s tools, the Virta product/workflow and how things work at Virta Partner with product teams to design, implement, and analyze product experiments; inform product roadmap by estimating KPI impact of future product initiatives Provide analytics support for the Squad, including reporting, Looker dashboard and experimentation design Provide analytics support to our various business units to answer questions about our business, patients, outcomes, etc. Teach and inspire your team members through knowledge sharing, pair programming, and/or giving feedback during code reviews Must-Haves 10+ years in a Healthcare Analytics, BI, Data Science or similar role 7+ years working with healthcare administrative data experience (claims, clinical outcomes, population health, etc.) Have a bias for action with a natural orientation toward agile analyses Able to influence senior decision makers. Some experience managing staff Led projects from start to finish, working with multiple stakeholders, of diverse levels of analytic capabilities. Comfortable working with imperfect data and dynamic environments with ambiguities and shifting priorities Proficient in SQL and relational databases. Familiarity with data capture, ETL, validation, and test methods to standardize and automate analyses. Familiarity with EHR, working knowledge of FHIR data structures Experience using varied statistical methods using Python, R or similar Some experience building BI dashboards, using tools like Looker, Tableau, Power BI Ability to partner with the Data Infrastructure teams to inform infrastructure roadmap to best support your work Experience working with cross-functional business partners to understand analytics or reporting needs Nice-to-Haves Advanced degree (M.PH/M.S./PhD) in Data Science, Stats, Actuarial science or similar Expertise with EHR, working knowledge of FHIR data structures Experience working at a technology company, bonus points for working at a “full-stack” company or marketplace where there is a complex relationship between different types of users Proficient in Looker, Airflow, Jupyter, Pandas Proficient in building BI dashboards Experience calculating cost savings or economic impact of a value based program Values-driven culture Virta’s company values drive our culture, so you’ll do well if: You put people first and take care of yourself, your peers, and our patients equally You have a strong sense of ownership and take initiative while empowering others to do the same You prioritize positive impact over busy work You have no ego and understand that everyone has something to bring to the table regardless of experience You appreciate transparency and promote trust and empowerment through open access of information You are evidence-based and prioritize data and science over seniority or dogma You take risks and rapidly iterate As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided. For this role the compensation range for candidates in Colorado is $177,724 - $204,281; information about Virta’s benefits is on our careers page at: https://www.virtahealth.com/careers.
Data Scientist Europe	Vista	Who We Are: Vista’s Data and Analytics (DnA) organization is working to make our company one of the world’s most well-known and successful data-driven companies. The cross-functional team includes product owners, analysts, technologists, data engineers and more – all focused on providing Vista with information and tools we can use to deliver jaw-dropping customer value. DnA team members are empowered to learn new skills, communicate openly and be active problem-solvers. Find out more at https://vista.io/ What You Will Do: Collaborate with your Product Team to bring machine learning into transformative products for our customers Engage with business partners to collaborate around analytical project requirements, define success metrics, explain methodologies and results, and negotiate work you're doing. Build new models, segmentations, and algorithms; as well as analyze pre-existing data products, provide suggestions on how to evolve, and improve their efficiency. Contribute to a roadmap making customer data products a core capability at Vista Your Qualifications: At Vista, we value the experiences that individual team members add to our culture. Please don't hesitate to apply even if you don't meet the exact qualifications, we look forward to learning more about you! Degree in Computer Science, Math/Statistics or another technical field 1+ years of machine learning models development experience Excellent programming skills in SQL and Python Strength in clarifying and formalizing sophisticated problems Nice to Have: Daring Data Engineering chops to deliver end to end proofs of concept Good knowledge of data visualization theory and tools (e.g. Tableau, Looker) Relevant work experience in an agile eCommerce environment Experience in Customer analytics domain Why You'll Love Working Here: Being at Vista means that you don’t see work as just a building, a desk or a manufacturing floor. You see it as a chance to take a step forward in your career journey – and your life. We strive to give you everything you need to learn, grow, and succeed. Through innovation, collaboration, and perpetual exposure to what’s next, we’re always pushing boundaries and broadening our horizons. We embrace the chance to operate outside of our comfort zone to discover what we’re capable of. Some might call that a challenge; we just call it another great day at work. Vista has received numerous recognitions including a perfect score of 100 on the Human Rights Campaign Foundation’s 2021 Corporate Equality Index (CEI) naming us a Best Places to Work for LGBTQ Equality. We also earned a place as one of the best remote-first workplaces in the U.S. and on the Boston Best Places to Work list from Built In. In addition, Vista’s CEO, Robert Keane, was recently honored with Comparably’s Best CEOs award, listing him among the top CEOs according to employees. Remote First-Culture: In 2020, Vista adopted a Remote-First operating model and culture. We heard from our team members that having the freedom, autonomy and trust in each other to work from home and, the ability to operate when they are most productive, empowers everyone to be their best and most brilliant self. Vista also provides collaboration spaces for team members to work physically together when it's safe to do so or believe in-person working will deliver the best results. Currently we are enabled to hire remote team members in over 30 US States as well as many countries in Europe: including Spain, Germany, UK, Czech Republic, Ireland and Switzerland. About Us: As an e-commerce powerhouse, Vista is the design and marketing partner to millions of small businesses around the world. For over 20 years we’ve been inspired by small businesses, and we work incessantly to deliver solutions to their evolving needs. VistaCreate, 99designs by Vista and VistaPrint, all under the parent brand Vista, represent a full-service design, digital and print solution, elevating small businesses’ presence in physical and digital spaces and powering them to achieve success. Vista is focused on making great marketing and design accessible to every small business owner, allowing them to create a cohesive brand image for use in-store, online and on-the-go. Equal Opportunity Employer: Vista, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires. #LI-SP1
Sr Director Data Science Apollo Team	Capital One	Overview 11 West 19th Street (22008), United States of America, New York, New YorkSr. Director, Data Science - Apollo Team (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: Emerging Merchant Businesses is a new team dedicated to discovering and accelerating high-growth opportunities at Capital One. Our newly formed organization is composed of incredibly exciting Capital One businesses, including Capital One Shopping, Flex Pay, and Apollo. As part of the EMB team, you will work alongside experts across customer experience, data, technology (and more!) who are moving quickly to find the next big business at the company. We are looking for talented associates who are motivated to be part of this journey and help us shape the future of Capital One, growing and learning with a team who will invest in your development, foster an inclusive environment, and lead with heart to change banking for good. As a Sr. Director, Data Scientist on the Apollo team in Emerging Merchant Businesses, you are a part of a team that develops the core technology which drives our industry-leading understanding of the U.S. business landscape, generating valuable business insight from many disparate sources. The Apollo team is building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation. In this role, you will: Lead a cross-functional team of data scientists, machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love.Lead machine learning and data science technical direction and execution (operations, governance, processes and practice) working closely with product management to craft a roadmap and success criterion.Lean on your strong background in graph-based machine learning, deep learning, software engineering and algorithm development to organize, grow and manage the ML/AI capabilities for the product.Flex your interpersonal skills to translate the complexity of your work into tangible business goals The ideal Candidate is: Technical:Strong background in algorithmic and engineering practices in fields of machinelearning including entity resolution, graph-based ML or deep learning. You have hands-onexperience developing data science solutions using open-source tools and cloud computingplatforms.Innovative:Learns constantly, including developments in algorithms, libraries, frameworks andML technologies. You stay current on published state-of-the-art methods, technologies, andapplications and seek out opportunities to apply them.Customer first:You bridge the gap between business/product needs with ML design, engineering and execution. You identify the KPIs, resource needs, trade-offs and translate that into a ML roadmap.Creative: You thrive on bringing definition to big, undefined problems. You love askingquestions and pushing hard to find answers. You’re not afraid to share a new idea.A Strategic Thinker: You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You can set the team vision and make strong day-to-day decisions backed by that vision. Inspiring Leadership:You establish a culture of inclusiveness, cooperation and candor. You’re passionate about talent development, provide frequent actionable feedback to team members, and promote innovation.A Data Guru: “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyzedata from a variety of sources and structures. You know understanding the data is often the keyto great data science.Statistically-Minded:You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A successful Candidate will have: Experience setting and implementing broad strategic vision for ML applications, underlying platforms, and software Demonstrated technical expertise in building, testing, deploying and scaling of machine learning software. Experience with cloud, open source software packages, environment management, reproducibility, and governance.High motivation, adaptability and being collaborative. An individual who can handle ambiguity and enjoys building. Moving in a fast-paced environment excites you and are looking for an opportunity to be a member of an innovative team that will be building and implementing innovative products in banking.Excellent communication skills. You can present technical context in intuitive ways. You can read the audience and adapt your communication style to various stakeholders both internal and external to the Apollo organization. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 4 years of experience in data analyticsAt least 4 years of experience in open source programming languages for large scale data analysisAt least 4 years of experience with machine learningAt least 4 years of experience with relational databases Preferred Qualifications: At least 1 year of experience creating and executing multi-year technical initiatives.At least 1 year of experience with containerization technologies and understanding on how to build for cloud scale delivery is a plusPhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analysis At least 1 year of experience working with AWS.At least 3 year of experience managing people and leading cross-functional teamsAt least 4 years of experience with relational databases with strong SQL knowledgeAt least 5 years of experience with technologies such as python, sci-kit learn, PyTorch, Scala, or R for large scale data analysisAt least 5 years of experience with machine learningAt least 5 years experience in algorithmic and engineering practices in fields of machine learning including entity resolution, graph-based ML or deep learning Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Data Science Manager Anti Money Laundering	Capital One	Overview Center 2 (19050), United States of America, McLean, VirginiaData Science Manager, Anti-Money Laundering (Remote-Eligible) Data Science Manager, Anti-Money Laundering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Anti-Money Laundering Modeling and Advanced Data Insights team builds the machine learning models that identify potential money laundering, terrorist financing, or human trafficking. We develop data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, Spark, and Rmarkdown. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Basic Qualifications: Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years of experience in data analytics, or PhD plus 1 year of experience in data analyticsAt least 2 years’ experience in open source programming languages for large scale data analysisAt least 2 years’ experience with machine learningAt least 2 years’ experience with relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years’ experience in Python, Scala, or R for large scale data analysisAt least 4 years’ experience with machine learningAt least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Associate Data Scientist Anti Money Laundering	Capital One	Overview Locations: VA - McLean, United States of America, McLean, VirginiaSenior Associate Data Scientist, Anti-Money Laundering (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Customer Risk Rating (CRR) Next Generation Modeling team builds the machine learning models that identify potentially high risk customers. We develop data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, Spark. As the model developer for the CRR program, our team is responsible for end to end development, deployment, and monitoring of production models. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhDAt least 1 year of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of experience with relational databases Preferred Qualifications: Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)Experience working with AWSAt least 2 years’ experience in Python, Scala, or RAt least 2 years’ experience with machine learningAt least 2 years’ experience with SQLAt least 1 year of experience with Spark Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Data Science Associate	Pulsedata	pulseData is changing the way healthcare data is utilized within major healthcare sectors. As a series A health-tech startup, we provide the insights necessary for medical staff to understand who has and is at risk of major chronic illnesses. We have rooted ourselves within the Kidney space, and have the capabilities of bringing our approach to many more patient populations given our capabilities. We recently raised $16.5M in our series A and are growing fast. This means we are onboarding brilliant people and providing endless areas for our employees to grow their careers. We believe in trust and transparency, and enjoy a remote friendly working environment that promotes collaboration and diversity. The Role: In your role as a Data Science Associate, you will use machine learning to deliver insightful and actionable intelligence and predictive solutions to our team to improve Healthcare growth in our business. You will gain experience understanding healthcare and developing data driven solutions to improve care delivery, while working closely with other team members of our Data Science and engineering team to deliver value to our business partners. Aside from supporting our data science model creation and data teams, you'll also assist the product team with growth opportunities. Qualifications: Strong communication skills. Cumulative GPA of 3.5 or higher. Bachelor/Master Degree students pursuing degrees in data science, statistics, applied math, computer science, engineering or other quantitative fields providing sufficient data science foundations Exposure to writing code (Python preferred, R and SQL okay), collaboration (Git), developing models (machine learning, boosting & bagging algorithms, &/or regression techniques), and performing predictive analytics testing and evaluation (match case analysis, ANOVA, confidence intervals, experimental design, A/B testing, etc.). A hunger to learn and work on challenging problems. Any prior experience working in a startup will be bonus points Benefits/Perks: A base between $60-$80k plus bonus A remote working environment - you'll be working eastern (ET) hours. Top tier benefits including medical, dental, and vision insurance - 85% of which is covered by pulseData. Unlimited PTO - so you can stay at your best year round! Fun gym discounts, a 401k, and a new laptop + equipment. Company offsite adventures throughout the US each year. Tons of room for growth and the ability to learn new things. This role NOW offers sponsorship. Chronic Kidney Disease (CKD) is a substantially under-diagnosed condition that affects 37 million people in the US. Today, clinical and care management teams use our platform to identify the most at risk-individuals and proactively deliver care in advance of adverse events, delivering better clinical outcomes at a lower cost. Our clients are risk-bearing healthcare enterprises: ACOs, kidney clinics and nephrology practices, large health systems, managed care and health insurance companies. Together, we use data science to deliver more human care. pulseData is backed by some of the best investors in the industry, recently raising a $16.5M Series A led by Bain Capital and Two Bear Capital.
Data Scientist Healthcare	Closedloop	About ClosedLoop: ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates. We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success. What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us! About the Role: ClosedLoop is looking for a customer-facing Data Scientist to build and deploy predictive models for our healthcare customers. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production. What you'll do: Building predictive models on healthcare data using the ClosedLoop platform. Work with customer teams to ensure that models are deployed and integrated into real world decisions. Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform. Train and educate customer data scientists on best practices for data science in healthcare. Create presentations and present model results to both technical and non-technical audiences Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform. What you'll bring: Bachelors or higher in Computer Science or related experience 5+ years of engineering experience with Python Prior experience with healthcare data science required Understanding of machine learning and statistical analysis Why ClosedLoop: Competitive salary Equity 401K plan 100% company covered for medical, dental, and vision for employees and their families Flexible PTO Employee Testimonials: "Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!" "Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding." "Room to thrive" "Passionate People, Supportive Environment, & Strong Vision"
Healthcare Data Science Consultant	Closedloop	About ClosedLoop: ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates. We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success. What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us! About the Role: ClosedLoop is looking for a customer-facing Healthcare Data Science Consultant (known internally as a Data Scientist) to build and deploy predictive models for our healthcare customers. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production. What you'll do: Building predictive models on healthcare data using the ClosedLoop platform. Work with customer teams to ensure that models are deployed and integrated into real world decisions. Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform. Train and educate customer data scientists on best practices for data science in healthcare. Create presentations and present model results to both technical and non-technical audiences Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform. What you'll bring: Bachelors or higher in Computer Science or related experience 5+ years of engineering experience with Python Prior experience with healthcare data science required Prior experience in a professional services/consulting position required Understanding of machine learning and statistical analysis Why ClosedLoop: Competitive salary Equity 401K plan 100% company covered for medical, dental, and vision for employees and their families Flexible PTO Employee Testimonials: "Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!" "Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding." "Room to thrive" "Passionate People, Supportive Environment, & Strong Vision"
Data Science Specialist	Ebanx	EBANX is a global fintech founded in 2012 with a mission to be the leading payments partner in rising markets. With its own technology and infrastructure, combined with in-depth knowledge of the Latin American market, EBANX allows these companies to connect to hundreds of payment methods in different countries in the region. And it goes further, creating results for businesses and simple shopping experiences for consumers. From the beginning of our journey, we have an important mission: to give access. And this is not just about our products and services, but it goes through everything we are and do. We believe that it is only possible to innovate with diversity, so we cherish differences in gender, race, nationality, disability, sexual orientation, religion and age. Plurality is what makes our Big Dream possible. We are called ebankers and we are changing the way people buy, connect, and live globally. Let's make history together? As a Data Scientist Specialist your mission will be to build and deploy machine learning models to serve multiple business units of the company. You will also be responsible for: Build and maintain machine learning models that are relevant to the payments industry (e.g. real-time transactional model, anomaly detection, routing optimization and churn prediction). Work closely with devs and core business areas (fraud prevention, finance, commercial, products and marketing) to define business problems and create solutions leveraging our data. Be able to propose new projects, gain stakeholder buy-in, calculate business value, be a cooperative team player and develop strong relationships with colleagues. Explain and solve complex problems in straightforward terms. Work directly with the data engineering team to create data pipelines and transformations necessary to be consumed by models. Ad-hoc exploratory analysis and experiments. Promote the use of data as the main driver for decision making. Main requirements for this position: Should be proficient at writing complex codes with languages like: Python, Pyspark and SQL. Relevant work experience working with core compute and storage cloud services (preferably AWS). Previous experience designing and building supervised ML models using Random Forests, Boosting, SVM or deep learning (some experience with at least one of the main libraries/frameworks like XGBoost, Sklearn and Tensorflow). Understand the trade off and implementation differences between batch vs streaming. Work with transactional DBs and analytical tools like Redshift, BigQuery and Athena. Good knowledge of development tools like git, bash and containers. What else would we like to see? Experience in design solutions based on AWS services and tools (Lambda, Kinesis Data Stream, Kinesis Data Firehose, S3, Dynamo, OpenSearch, EMR, Sagemaker, ElastiCache), carefully read the docs, implement the entire architecture you designed with the support of your peers, and document it. Some experience with visualization tools (e.g. Tableau, Qlik or Looker). Previous experience working in a startup environment. EBANX offers: A challenging environment, with opportunities to grow; Casual office and flexible dress code; Spanish, English and Portuguese classes; WAVES - Program of goals and results (variable compensation); EBANX Play - Wellness (Gympass, e-Sports, SESC ); Semi flexible hours (8 hours a day - Monday to Friday); Meal Allowance; Transportation voucher (if needed); EBANX Education: scholarship; EBANX Skills: budget for workshops and courses; EBANX Flexible: monthly Day Off from February to November, birthday Day Off and Rest up Month - one month of paid leave every three years of work anniversary. EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women; EBANX Health: Health and Dental Insurance, with subsidy for dependents, and medicine subsidy for ebankers; Life Insurance: Life Insurance 100% paid by EBANX Hello ebanker: psychology, finance and legal orientation. Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics store and more! Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.
Data Scientist Revenue Senior Staff	Nextdoor	#TeamNextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 295,000 neighborhoods across 11 countries. Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as psychology, geology, physics, and statistics. We are the mathematical decision scientists for their product development organization and play an active and collaborative role in building and improving the product. The Impact You’ll Make At Nextdoor, Data Scientists have the opportunity to work across a wide range of problem areas, including member and small business onboarding, growth, feed ranking, community vitality, monetization, and experimentation. As a Data Scientist on our Revenue team, you’ll focus on driving value for businesses of all sizes - from multinational brands to your local coffee shop. The work is essential to the growth and success of the company and involves frequent opportunities to deploy code as well as showcase progress to teammates, stakeholders, and company leadership. What You’ll Bring To The Team Advanced degree in a quantitative field and 4+ years working in data science, product analytics, or machine learning, or equivalent Excellent knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn Expertise with methods, tools, and packages for statistical modeling and machine learning Experience formulating, running, and sharing complex analyses, including different types of experiments, causal inference studies, and other exploratory analysis work Experience architecting, debugging, and executing complex SQL queries Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders Curiosity about how things work, from both a business and technical perspective A collaborative spirit and a commitment to community It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us! Bonus Points Work experience related to social or community-based products Work experience related to small businesses and marketplaces Work experience related to advertising and auction systems Expertise deploying models to production Expertise in testing and evaluating the impact of network effects Knowledge of web applications and service-oriented architecture At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. #LI-Remote
Data Scientist Marketing	Nextdoor	#TeamNextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 295,000 neighborhoods across 11 countries. Meet Your Future Neighbors At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions. Think of the role as a full-stack marketing data science, using data to inform and guide marketing decisions. You will be responsible for the design and execution of best practices with regards to experimentation for email campaigns including selection, measurement and reporting of results to influence next steps. Engage in discovery work to identify opportunities to change the what/when/how of our current programs. The role requires a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with stakeholders including but not limited to finance, data science, marketing. Familiarity with campaign management and marketing will be helpful. The Impact You’ll Make You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we communicate to a high volume of people. Your work will come to life through strategic/analytical thinking, operational excellence and creatively solving complex business problems. We will want you to want to own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion. Defining success metrics that capture performance and identify actionable insights Your responsibilities will include: Developing actionable segmentation Best-practise experimentation to give us reliable insight Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies including MarTech, marketing managers and wider data science teams Campaign management Identify where we can invest in 3rd party data to enrich our decision making capabilities Build out required performance measurement tools and dashboards Educate stakeholders by explaining the “Why” behind the “What” What You’ll Bring To The Team 2+ years of expertise in quantitative analysis, ability to tell a story backed by data using data mining methods 2+ years of experience using in-depth applied statistics and analytical experience in partnership with Marketing teams to optimize decision making Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions Ability to pull together your own datasets with strong SQL skills and knowledge of analytical programming languages including R or Python to conduct statistical analysis Familiarity with experiment design and A/B test analysis including measurement selection Can communicate effectively with a range of stakeholders Curiosity for discovery and creativity in solving complex challenges Bonus Points Experience building predictive models using machine learning algorithms Familiarity with marketing in the B2B space Experience with complex attribution solutions Worked with data vendors to enrich data Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. #LI-Remote
Staff Data Scientist Sustainability	Indigo	About Indigo Indigo Ag is a mission-driven company dedicated to harnessing nature to help farmers sustainably feed the planet. We innovate across a breadth of technology and science disciplines to help enhance agriculture's long-term sustainability and profitability and mitigate the climate crisis. We seek to positively impact the world through the digital and biological solutions we bring to the market, creating a more resilient earth, healthier economies, and thriving communities. Our people build partnerships, explore the science, and engineer the technology to help grow the future of sustainable agriculture. The only way to achieve it is through a unique combination of expertise – from Fortune 500 to academia, soil science and agriculture, to tech start-ups. About the team: The Sustainability Data Science team is a multidisciplinary team that harnesses data science, statistics, and technology to build a data-driven, scientifically-rigorous sustainability program. Our activities span several aspects including: operational tasks to conservatively quantify Carbon sequestration approaches, rates, and efficacy partner with our science team on more R&D activities to design, analyze, and derive actionable insights from the frontiers of sustainability and carbon-sequestration field experiments and sensor technologies strategic decision support with forecasting and scenario planning partner with the product team on tools, processes, and data products to enhance the grower’s Carbon and Source program experience. About the role We are looking for a staff-level data scientist to lead growth and engagement activities within the Sustainability Data Science team. The success of the Carbon program will hinge, in part, on top-of-funnel success. To expand the program and maximize our impact to the business and to the environment will require finding not just growers but the right growers. That is, those who are interested in regenerative practices but who face barriers that prevent them from adopting those practices. Who and where are the growers we can help transition to regenerative practices? What do they have in common? Where can we find more? How can we find and reach them? For those that we acquire, what is their lifetime value (LTV) and churn risk? How do we keep them engaged and successful?The data will span transactional data, web analytics, as well as a rich set of open and proprietary agronomic and demographic datasets. As such, analyses may span questions around growth, engagement, and agronomics insights at a variety of spatial scales. This role will encompass typical growth and engagement data science activities such as churn prediction, LTV, lookalike modeling, lead scoring, segmentation, session analysis, and experiments partnering with a range of stakeholders across commercial, marketing, product, tech, data, and data science. It will also involve building personalized data products collaborating with product, tech, and other data scientists on the team. Competencies Proven ability to independently translate needs into Data Science problems by asking the right questions and delivering solutions by identifying necessary data, building models, and producing actionable results.5+ years practical industry experience in supervised and unsupervised machine learning including, regression, classification, time series forecasting, feature selection, evaluation, model selectionStrong expertise in data wrangling / munging (we work mostly with Python and SQL)Excellent communication, consulting, and story-telling skills,and able to work well with a range of stakeholders with varying backgrounds and levels of technical expertise.Mentor more junior members and contribute to the overall culture, standards, and processes of the team.Strong sense of quality and attention to detailCurious and proactive. Bias for action. What will you do? Lead, coach, and mentor junior data scientistsReview machine learning models and codeWork with our product managers and business stakeholders to identify and scope the highest value data science problemsExplore and understand our data and how they can feed production-grade machine learning modelsProactively utilize data and business understanding for feature engineeringBuild, prototype, and deploy state-of-the-art machine learning models to solve real business problemsCommunicate, interpret, and explain modeling output to stakeholdersMeasure value of the machine learning models we deploy Preferred Qualification: Masters Degree or PhD in Computer Science, Math, Statistics, Physics, Engineering, or related quantitative fieldExperience in a startup environmentExperience working with geospatial data is a plus, as is experience building growth engagement models. #LI-Remote At Indigo, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national, social or ethnic origin, age, physical, mental or sensory disability, marital status, family or parental status, sexual orientation, gender identity and/or expression, family medical history or genetic information, military and veteran status, and any other characteristic protected by applicable law. Indigo believes that diversity, equity, and inclusion among our team members are critical to our success. We seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re applying for a job in the U.S. and need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
Principal Data Science Dhl	Discover	About This Role Discover. A brighter future. With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career. Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Responsibilities Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development. Minimum Qualifications At a minimum, here’s what we need from you: Bachelor’s Degree in Analytics, Engineering, Statistics or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field Preferred Qualifications If we had our say, we’d also look for: Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field What are you waiting for? Apply today! And by the way, while you're waiting to hear from us, don't forget to check out the great benefits Discover offers. The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other characteristic protected by federal, state, or local law in consideration for a career at Discover. #remote #LI-KS1 What are you waiting for? Apply today! All Discover employees place our customers at the very the center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management. The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
Lead Data Science Analyst Economic Capital	Discover	About This Role Discover. A brighter future. With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights. Responsibilities Responsible for all aspects of activities including framework and methodology development, implementation, execution and analysis of Economic Capital (EC) and CCAR Operational Risk programs, capital assessment, risk quantification, risk aggregation, capital allocation and capital usage in various business lines. Leads the development and implementation of advanced analytics including customer segmentation, statistical and financial modeling, optimization, advanced prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.Continuously improves technical and leadership skills through training and development. Minimum Qualifications At a minimum, here’s what we need from you: Bachelor's degree in Analytics, Engineering, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related. Preferred Qualifications If we had our say, we’d also look for: Master's degree in Analytics, Engineering, Mathematics or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or relatedProficient in one or more of the mathematical and statistical modeling tools/languages including VBA, SAS, R, Python, SQL, Tableau, CCAR, CECL, and SASFamiliar with AWS Cloud, snowflake big data technique and experience using EssbaseExperience with statistical modeling, Machine Learning, Data Mining and other statistical advanced techniques is a plus #LI-CR1 #Remote #BI-Remote What are you waiting for? Apply today! The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
Lead Data Science Analyst Forecasting And Analytics Team	Discover	About This Role Discover. A brighter future. With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights. Responsibilities Responsible for all aspects of activities including framework and methodology development, implementation, execution and analysis of Economic Capital (EC) and CCAR Operational Risk programs, capital assessment, risk quantification, risk aggregation, capital allocation and capital usage in various business lines. Leads the development and implementation of advanced analytics including customer segmentation, statistical and financial modeling, optimization, advanced prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.Continuously improves technical and leadership skills through training and development. Minimum Qualifications At a minimum, here’s what we need from you: Bachelor's degree in Analytics, Engineering, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related. Preferred Qualifications If we had our say, we’d also look for: Master's degree or PhD in Analytics, Engineering, Mathematics or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or relatedExperience with statistical analysis, regression modeling, time series analysis, forecasting and data miningStrong knowledge of SQL and experience of using SAS/Python/R etc.Experience designing and developing dashboards and visualizations in TableauEvidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving #LI-CR1 What are you waiting for? Apply today! The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
Senior Data Scientist Bidder	Chartboost	Who we are: Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences. We’re looking for an exceptional Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. Impact you will make: Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure Who you are: BS degree in Statistics, Math, Machine Learning or Computer Science 5+ years of practical experience in data science or machine learning roles Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques Experience in improving performance of queries and data jobs for model training The following experience would be a plus: Hands-on with deep learning in production pipelines Ad tech and/or mobile space. Perks: The opportunity to help continue to build a company with the founding team Comprehensive medical, dental and vision insurance 401(k) plan with match through Fidelity Catered lunches and fully stocked kitchens Commuter Program Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use More about us: We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming! We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
Senior Data Scientist	Aristocrat	Job Posting Title Senior Data Scientist Why Big Fish Games? Big Fish Games is the home of some of the biggest hit mobile casual games including EverMerge, Gummy Drop!, Cooking Craze, Fairway Solitaire, and many more. We are curious and constantly seek improvement in all we do because that’s what our business demandsWe operate with good intentions, confidence, and humilityWe welcome diversity of background, thought, and experienceWe listen actively and value each otherWe foster a fun environment that inspires creativity Overview We are looking for an amazing Senior Data Scientist to support the different Game Studios at BFG. You'll be responsible for running ad-hoc analysis, visualizing data, building machine learning models, and analyzing our day-to-day operations. Successful candidates for this role have strong SQL and statistics skills, are passionate about games, and are clear communicators. What you'll do Engage with PMs, designers, CRM managers to understand business problems and identify analysis requirements and appropriate analytical solutionsDevelop a deep understanding of available data to drive ad-hoc analysis and answer questionsPerform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by businessEvaluate performance of new features and contentBuild machine learning models and work with engineering teams to productionalize model outputs.Effectively write, present and communicate research results with recommendations What we're looking for Bachelor’s degree or equivalent work experience in Computer Science or related discipline such as Statistics, Mathematics, Economics, Engineering, etc.Experience with SQL, R, PythonExperience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validation of resultsExperience with data mining, machine learning, statistical modeling tools and underlying algorithms3-8 years in the analytics or data science function Data visualization and dash-boarding building experience with Tableau, Looker, or similar toolBonus PointsExperience in the gaming spaceAdvanced degree in Analytics, Statistics, Mathematics, Economics, etc.Familiarity with GCP, MySQL, Hadoop, Hive Big Fish Games is an equal opportunity employer. We bring unique talents together to build something special that’s why we welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status. Benefits and Beyond Employees constantly rate Big Fish Games highly for its leadership, flexibility, well-being, diversity and inclusion through quarterly surveys. FLEX-Forward work environment: Customize the when, where, and how you work while delivering goalsHealth & More: Medical, dental, vision, life, disability, Teladoc services, employee assistance program (EAP)Work-Life: Wellness Friday (half-days), paid time off, parental leave, flexible work policy, studio holiday closure (Enjoy the week between Christmas and New Year!) Wellbeing: Wellness fairs, weekly virtual workout classes, 24/7 access to mental health and wellbeing support, free therapy and counseling sessions for you and your familyWealth Care: 401k matching, flexible spending account (FSA), employee discounts, employee stock purchase programLearn & Grow: LinkedIn Learning subscription, mentorship program, career development, individual development plans, educational assistance on job-related professional development Community & Fun: Company social events, employee impact groups, company swag, volunteer opportunities About Big Fish Building upon our 20-year legacy as a leader in the biggest gaming categories in the world, we are innovating and developing new products within the casual space to add to our extensive portfolio. Big Fish is dedicated to delivering amazing experiences for players to connect, compete and discover play, anywhere and on any device. This means games for broad global audiences in genres that are easy to learn, and difficult to master. Be a part of the team from the start. Big Fish is part of Pixel United, the free-to-play, mobile-first video games business of Aristocrat Leisure Ltd (ASX: ALL)! Location Remote - USA (Job Posting) Job family Data Science Contract Type Regular Time Type Full time Company Big Fish Games
Sr Product Manager Data Science And Machine Learning	Clari	Clari takes pride in being the leader in Revenue Collaboration & Governance (RevCG) and providing the first platform to stop revenue leak and achieve revenue precision. With Clari’s Revenue Platform, all revenue-critical employees now have an enterprise system to run revenue. Forecasting, pipeline management, conversation intelligence, deal execution, coaching, and buyer collaboration (to name a few) are a maze of challenges made simple with Clari. Thousands of teams at leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. Clari's revenue operations platform enables experiences that are mission-critical for our users. It connects to our customer's most important business systems integrating data that we use to power our applications, analytics, data science, and APIs. We are building a platform of the future that lives and breathes data and intelligence which is instrumental in supporting our continued journey of explosive growth. We are looking for a product manager who is passionate about data and machine learning to drive intelligence capabilities throughout our stack. In this role, you will have the opportunity to expand Clari’s data science capabilities and embed them throughout our platform. This is a work-from-home opportunity based in Alberta, Ontario or British Columbia provinces. Candidates must be a Canadian Permanent Resident or Citizen. We are unable to provide work authorization sponsorship at this time. Responsibilities Drive the vision and roadmap for data science in the Clari platform Partner with engineering on approaches to leverage machine learning Partner with product managers to maximize the impact of intelligence throughout our targeted revenue process applications Develop tight working relationships with customers, partners, and internal stakeholders, ensuring that we’re solving our users’ and customers’ most pressing problems Collaborate with Product Marketing, Growth, and GTM teams to shape and execute go-to-market strategies Ensure that our data science solutions are built for trust, scale, extensibility, and reliability Leverage data from multiple sources to inform product decisions and drive customer adoption Set targets for product adoption & impact, and work with success teams to ensure our product goals are met Qualifications 4+ years of SaaS product management experience, from inception to delivery 2+ years of data science/machine learning experience (e.g. time series analysis, HMM, Deep Learning for classification, and NLP) Experience managing complex stakeholder relationships, including engaging with users, customers, partners, and industry analysts Working familiarity with databases, data management, and modern API-based software architectures Working familiarity with modern ML development stack, open-source libraries, and hosted ML services (e.g. Tensorflow, PyTorch, NumPy, AWS Sagemaker, DataRobot, etc.) Experience delivering systems optimized for scalability and extensibility Strong written and verbal communication skills with a forte for breaking down complex technical problems Outstanding presentation skills with the ability to communicate business and technical topics and adjust to diverse audiences Work-Life and Benefits @ Clari Team-bonding activities and company-wide events Flexible working hours and remote opportunities Internet, phone, and wellness reimbursements Pre-IPO stock options #BI-Remote #LI-Remote You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a nurturing and inclusive environment. One that is free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work for several years running. We’d love to have you join us on our journey to remarkable! If you feel you don’t meet 100% of the qualifications outlined above, we want you to apply! Clari believes in hiring people, not just skills. If you are passionate about learning and excited about what we are doing, then we want to hear from you. Clari focuses on culture add, not culture fit. One of our values is One with Customers, and we know we can serve them better when we involve as many different perspectives as possible. Our team is made stronger by what makes you unique, so we hope you’ll bring your whole self to the job.
Data Scientist Deep Learning Ml Nlp	Nightfall	Nightfall makes safeguarding sensitive data for every application simple and seamless. Organizations, from startups to global brands, trust Nightfall's software platform and APIs to discover, classify, and protect sensitive data. As an early Data Scientist at Nightfall, you’ll design & implement models that enable us to detect sensitive data with high accuracy across petabytes of heterogeneous & unstructured data. Responsibilities: Conduct state of the art research in natural language processing, deep learning, and machine learning. Selecting and engineering features based on mining massive data sets. Prototyping & testing algorithms to innovate state of the art detectors of sensitive information. Building, training, tuning a variety of machine learning & deep learning models. Enhancing data collection procedures to include information that is relevant for building state-of-the-art detectors. Productionize data science models and collaborate closely with data engineering & product team to establish a feedback loop. Ideal Qualifications: BS, MS or PhD in Computer Science, machine learning, NLP, deep learning, AI or a related technical field. Strong software engineering skills across multiple languages including but not limited to Python, Javascript, etc. Experience building one of the following production systems in industry: natural language processing, bayesian models, information retrieval, learning to rank, recommender systems, speech recognition, unsupervised learning. Good mathematical understanding of popular NLP and/or machine learning algorithms. Hands-on experience with NLP tools, libraries, and corpora. About Nightfall: Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at [email protected].
Senior Data Scientist	Curve Health	About the Curve Health: Curve Health is a mission-driven health tech company focused on empowering care providers to treat patients in place, even under acute conditions that would otherwise require a transfer to the emergency room. Our Mission is to catalyze hope + innovation to enable better care for all. This is no glorified Zoom consult! Rather our platform is designed to facilitate remote care for even the most complex patients during an acute event leveraging complex EHR integrations for improved visibility, providing a much better patient AND provider experience at a lower cost impact. Who doesn’t love a win-win? We’re passionate about delivering parity of care over our telemedicine platform, creating the benefits of at-home hospital-quality care for seniors. We’re equally passionate about building cutting-edge, modern technology with the latest tools and frameworks, and enjoying ourselves and the journey. About the Role: We are looking to build a best-in-class data science team. We’re excited about finding someone who can own the end-to-end data science pipeline, including experience with data engineering, providing insights from descriptive analytics, and constructing complex statistical models. The Sr. Data Scientist will focus on building algorithms that help our partners assess risk in a healthcare setting. As such, we’re looking for someone with a background in statistical modeling and programming. You’ll need past experience with cleaning and wrangling large datasets, previous work with regression and classification algorithms, and a willingness to help others understand and use your results. Responsibilities: Build algorithms and analyze large, complex datasets to generate predictions and health-related insights using advanced data science and statistical methods. Manage the full data science process, from assessing data quality to evaluating model output. Scoping project requirements, including the ability to understand how analytics and algorithms fit into the broader goals. Deliver results to various stakeholders across the company with informative, succinct visualizations and summaries. Work with engineering to incorporate your work into user-facing software. Gather, organize, and combine disparate data sets to help the data team gain additional value from our information sources. Automate data processes and analyses to provide updated metrics and insights to stakeholders. Add to the inventory of tools and routines to accelerate experimentation. Interact cross-functionally with other teams including software, clinical, operations, research, and product development. Required Qualifications: 5+ years of experience in statistics, data science, or machine learning. Strong skills in building and tuning algorithms, including a background using common statistical and machine learning techniques. Expertise in SQL and either R or Python. Background using version control and documenting data processes and methodologies. Ability and motivation to absorb new, complex domain knowledge quickly. Evident verbal and written communication skills ranging from explaining analyses to a variety of audiences to communicating project goals, plans, and progress. Demonstrated aptitude to set and follow a productive agenda independently, while keeping coordinated with the team. Preferred Qualifications: Experience with data related to chronic conditions or in a healthcare setting Skilled with multilevel/mixed-effects modeling A personal connection to, or passion for, caring for people living with chronic conditions Hands-on Snowflake experience Why Curve Health? We are a deeply collaborative and insight-driven team looking for new perspectives to challenge our thinking and unlock new opportunities to grow (individually and as a business). We are serious about diversity and inclusion. We are a company built on the foundation of a proven, award-winning product and pointing it at new users to unlock its full potential. We are a remote team that is dedicated to creative collaboration and real culture, with weekly happy hours, whiteboard sessions, and all-hands meetings to keep us connected. Benefits: A remote work environment Medical, dental, and vision package Unlimited vacation Competitive salary + equity Open forum for innovation and ideas A personal development plan designed to help you (and us) grow A fun and light work environment with serious responsibilities
Data Scientist Square Staff Payroll	Square	Company Description Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square. Job Description Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the Square Staff team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. You will partner with the product team to lead experimentation & growth plans, partner with engineering to implement comprehensive and reliable data logging, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. We are looking for seasoned and passionate data scientists to join our data team for the each of following product areas: Payroll - In addition to enabling businesses to take credit card payments, Square offers a variety of add-on features to help run and grow a business. Square Payroll is a full-service payroll, automated tax filing, and employee benefits system. As a data scientist on the team, you will help drive and execute on product and go-to-market initiatives for Square Payroll. You will collaborate with Product Managers, Product Marketing Managers, Engineers and Designers to optimize the product experience for driving acquisition and retention to deliver value to our broad community of Sellers. You will: Work directly with the product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsLead, coordinate, and execute on complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service analytics so your expertise can be leveraged where it is most impactful Qualifications You have: 3+ years of analytics and data science experience or equivalentB.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience building relationships to influence product partners with dataExperience participating in cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)Fluency with general coding and scripting skills Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist	Square	Company Description Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place. Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together. There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same. Job Description As a Data Scientist, you will be responsible for partnering with Product mangers to own data for the entire product. You will be developing ongoing analyses and reports to support our expanding Merchant(Seller) product suite. You will analyze integration, retention, adoption, product funnel plus other pertinent aspects of product launch/operation/GTM etc.You will also analyze business performance, deliver data driven business insights for decision making, and provide insights on product features, services (as for both new concepts and existing products), design A/ B testing and communicate findings. Key Responsibilities Work closely with the leadership team, Product and Engineering & other stakeholders to understand their data science needsDevelop a formalized process to identify, analyze, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholdersDesign and conduct analyses, build datamarts, ship dashboards to provide insights at scale that support growth strategiesAssist Product & other stakeholders teams in developing methodologies/framework to accurately assess and measure impact of our business strategySupport targeted business activities, including opportunities for product and process improvement with a focus on driving significant business growthDesign and execute A/B and multivariate testsIsolate, identify and communicate data issues and own data quality for the analyses and reports producedMonitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise Qualifications You have: 5+ years of industry experienceAre self motivated and curiousTechnical initiative and leadership on previous projectsAn ability to uphold a high technical bar while making pragmatic tradeoffs.Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline Technologies we use: SQL, PythonAmplitude, Sumo Logic (optional)Looker, Tableau, GitSpark, Hadoop, Hive, Databricks Snowflake (not a must-haves but past exposure can be an asset!) Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Staff Data Scientist Financial Crimes Technology	Ease	Company Description It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible, at Cash App you'll have the opportunity to make a real-world impact with your career. Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices. Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are. Check out our locations, benefits and more at cash.app/careers. Job Description The Financial Crimes Technology Data team at Cash App finds and reports financial crimes activity on Cash App. We work globally with partners in Compliance, business, engineering, and product to guarantee we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We are leveraging Data Science as an integral part of our toolkit to fulfill our mission. As Cash App scales, we are monitoring billions of dollars in transactions across traditional payment and blockchain networks. We uncover and put an end to money laundering, suspicious, and illegal activities before they impact our users. We are looking for a Staff Data Scientist to join our fast growing team with the goal of identifying impactful problems worth solving, tracking and communicating the team progress to leadership and providing deep dive analytical support to our partners and stakeholders as necessary. This is an IC role, but the Staff level has additional leadership responsibilities that include envisioning, owning, and driving strategic roadmaps & priorities to completion by collaborating with cross functional stakeholders as well as mentoring & growing junior team members. You will: Define, build and track metrics that demonstrate health of the Compliance programTrack the impact of the data team in optimizing Compliance operationsEffectively communicate our work with team leads, cross-functional stakeholders and business leaders on a regular basisDefining the Risk Based Framework followed by quantifying and tracking our platform risk over timeModeling the cost to Compliance for new and significant Product Launches to aid in timely operational capacity planningImplement and automate case volume forecasting to aid the annual and quarterly Operations capacity planning exerciseOwn & deliver ad hoc analyses and deep dive investigations for poorly defined, but important business problems that aid in effective decision makingBuild deep connections and trust with Compliance Operations, Compliance Analytics and Product teams, particularly the Health Abstraction. Qualifications You Have: 6+ years of advanced Analytics/Data Science experience in the technology industryAn MS degree in computer science, data science, operations research, business analytics, stats or a related technical fieldAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) as well as experience with common Python DS stack (numpy, pandas, matplotlib, plotnine etc.)Extremely strong written and verbal communication & presentation skills and an ability to build strong relationships and influence with business & product partnersMentored and grown Junior Data Analysts and Data Scientists on the teamHave a curious, passionate, growth-oriented mindset Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Marketing Data Scientist Manager	Square	Company Description Afterpay is transforming the way we pay by allowing customers to buy products immediately and pay for their purchases over four installments. The service is completely free⁵ for customers who pay on time - helping people spend responsibly. As of December 31, 2021, Afterpay is offered by more than 122,000 of the world’s favorite retailers and more than 19 million active customers have adopted the service. Afterpay is currently available in Australia, Canada, New Zealand, the United States and the United Kingdom, France, Italy and Spain, where it is known as Clearpay. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is a wholly owned subsidiary of Block, Inc. (NYSE: SQ)g. Job Description The Opportunity Afterpay’s Global Marketing Science team is looking for an experienced Marketing Data Science leader. This team works closely with partners across the marketing function to personalize, measure and improve our ability to acquire, activate and retain customers. You will lead a team of Marketing Data scientists working across the entire marketing funnel and across all marketing channels in a wide range of marketing domains, using data science tools and techniques to tackle the opportunities and challenges Afterpay has. You will collaborate with senior team members to deliver data science projects from scope and problem formulation to recommendations and implementation. You will be a trusted thought partner of our growth and marketing teams and we strive to make an impact and help deliver OKRs. We are much more than our job descriptions, but here’s where you will begin: Work closely with the Marketing team to understand and deliver their data science, analytics and insights needs.Lead a team of experienced marketing Data Scientists, including goal setting and career developmentSet the Global Marketing Science team roadmap. Manage and effectively prioritize the pipeline of requests.Lead the design of models, analyses and reports that provide insights that enable the marketing team to understand marketing performance, create personalized experiences and improve marketing strategy.Visualize and articulate data science projects to an executive audience and external partners.Lead the development of methodologies/frameworks that accurately assess and measure the impact of our business strategySupport targeted business activities, including opportunities for product and process improvement with a focus on driving significant business growth.Lead the design, execution and analysis of A/B and multivariate tests.Monitor the quality and integrity of marketing reports/dashboards/pipelines and troubleshoot issues that arise Qualifications Who are you? Like us, you’ll be deeply committed to delivering positive outcomes for customers and passionate about shaping the future of Afterpay. You like to keep it real with your actions, be brave with your decisions, do the right thing for all our stakeholders and shape the future with excitement. Quantitative background in statistics, mathematics, computer science, or related disciplines7+ years experience in data science or analytical roles, including 2+ years team leadership, using techniques such as customer profiling, A/B testing, ROI measurement, predictive modeling, regression and classification analyses.Good marketing domain knowledge across channels such as Paid Social, Email/Push, SEO/SEM, TV, Radio, Out-Of-HomeProficient using SQL and Python to extract, manipulate, analyze and model large volumes of dataAbility to do statistical analyses without guidance including descriptive and inferential techniquesExperience with data visualization tools like Tableau, Looker or PowerBI.Excellent critical thinking, problem solving and analytical skills, combined with effective judgmentExcellent written and verbal communication skillsExcellent project and time management skills, with the ability to handle multiple projects simultaneously effectively, with tight deadlines in a fast-paced environment Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Product Data Scientist Bitcoin Wallet	Square	Company Description Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. Job Description We're building a bitcoin wallet for the next 100M bitcoin users - importantly for people around the world who likely haven't yet used bitcoin as a savings tool or for its payments capabilities yet. Our goal is economic empowerment -- starting with bringing easy-to-use, reliable wallet that helps people around the world own and manage their bitcoin, rather than having to rely on several tools and services that don't work well together and are challenging to use for a wide global audience. Our goal is to make the future of money intuitive, and safe while helping customers build a better financial future. We're assembling a team experienced in an extremely wide range of disciplines, including business, operations, design, software, hardware, security, and so many other aspects of product delivery. We are hiring our first Product Data Scientist to help our product, marketing, engineering and customer support teams make data-driven decisions about what and how we build for our customers when helping them manage their money. This is a unique opportunity to not only be embedded with an early stage team where you'll have close proximity to strategy and building so you can produce action-oriented analyses, but you'll also influence our data infrastructure and tooling decisions. Because you will work with bitcoin data across different sources (internal systems, blockchain, lightning network, etc.), an understanding of how these technologies function or demonstrated experience or interest working with this data is a big plus. You will report to our Head of Business within Bitcoin Wallet. You can be based anywhere remotely in the United States, as well as in several countries around the world including the UK, Ireland, the Netherlands, Germany, among other countries. Come build the future of money with us! Learn more through our newsletter here. You Will: Empower our team to use data to make business decisions as we build a global product from its earliest days- an opportunity to build data analysis into the infrastructure of a team from day 1Develop both backwards-looking analysis on product performance, marketing effectiveness, monetization and pricing and other main product and business decisions, as well as forward-looking predictive models to help us better understand customers and their needs (e.g. cluster analysis that help us map customer segments back to product usage, retention models)Empower the teams with data and help them to make decisions on improving product features and building a meaningful roadmap (e.g. funnel metrics, analysis of churn and CS data, etc), as well as influencing important decisions like pricing based on acquisition and retention insightsAs a member of the Business team, you'll have the product and business context to be able to proactively spot trends and connect sometimes seemingly disconnected data sets to help the team develop and prove out hypotheses across the end to end lifecycle, forming cohort analysis on things like acquisition channels, etc.Navigate external data sets such as publicly available blockchain data insights (eg bitcoin blockchain analysis) to help us understand things like our total addressable market (TAM) as well as SAM and SOMDesign and help run statistically-significant experiments across different cohorts of customers and ensure hygienic approach to things like causation vs correlationCreate models that help us to analyze risk and security threats as well as optimize key decisions on our approach to money movement (i.e. transaction modeling)Support and guide in our early data infrastructure decisions with product and engineering - as we are a zero to one team, you will get to shape the data infrastructure decisions we make so we have scalable ways of working where data is easily accessible to the right people on our team, all while ensuring that data is secure and aligned with our privacy principles and commitment to customers and partners. Qualifications You Have: Background in working in product-driven organizations and building and sharing data-driven insights to help make decisions with 8+ years of experienceExperience with cohort and funnel analyses, an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience telling stories and making relevant recommendations with dataYou've set up and run A/B tests and other types of experimentation designs and can help ensure statistical significance in the right testing environmentWith technical skills, you can automate complex processes and construct data pipelinesExperience with data visualization tools (e.g. Looker, PowerBI, Tableau etc.)Work in collaborative team environments including Product, Marketing, Engineering, Design and ResearchThrives in earlier stage environments - you're a self-starter who gets excited about complex, sometimes vague, or longer-term problems and can be creative on how to solve those problems with data and insightsFamiliarity or interest in learning blockchain analytics as we are building in the bitcoin space and external data sets will help you uncover richer trends and recommendations; ability to connect internal and external data sourcesTechnical skills: Python or R, Advanced SQL Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Senior Consumer Product Data Scientist	Square	Company Description Afterpay is transforming the way we pay by allowing customers to buy products immediately and pay for their purchases over four installments. The service is completely free⁵ for customers who pay on time - helping people spend responsibly. As of December 31, 2021, Afterpay is offered by more than 122,000 of the world’s favorite retailers and more than 19 million active customers have adopted the service. Afterpay is currently available in Australia, Canada, New Zealand, the United States and the United Kingdom, France, Italy and Spain, where it is known as Clearpay. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is a wholly owned subsidiary of Block, Inc. (NYSE: SQ)g. Job Description The Consumer Product Data Science & Machine Learning team in Afterpay is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders. As a Senior Consumer Product Data Scientist at Afterpay, you’ll be responsible for key KPIs for the company's profitability, and customer experience metrics. You will be tasked to set goals and manage through strategy, and close collaboration with product, engineers and business stakeholders. You will Work closely with Data Science and Machine Learning leadership team, global consumer experience product teams and engineering teams to drive the consumer engagement, activities and conversion of Afterpay shop directory (https://www.afterpay.com/) and mobile app You will: Actively participate in roadmap and timeline discussions, make decisions that impact timelines and success of important initiatives. Independently lead large, impactful projects that can make or break the team's topline OKRsConduct analysis and set up reports to provide the insights at scale to meet business growth needs and help our retail partners reach out to millions of Afterpay customers effectivelyCollaborate and communicate with stakeholders across Product, Engineering, Marketing, Sales and data teams to deliver analytical insights and recommendationsDesign and execute experiments, publish in-depth and trustworthy result readouts of the new product feature launches and actionable recommendations on continuous product improvementsBuild data driven optimization models, forecasting models and experimentsProvide story-telling with excellent data visualization, and regularly present at a leadership level and to external teamsBuild the data solutions and data products for the product and engineering innovations, shop directory content management, and growth use cases etc. Qualifications You Have: Like us, you’ll be deeply committed to delivering positive outcomes for customers and passionate about shaping the future of Afterpay. You like to keep it real with your actions, be brave with your decisions, do the right thing for all our stakeholders and shape the future with excitement. A minimum of 5 years experience in quantitative statistics, math, business, or related disciplines, with specific experience in consumer products, e-commerce, fin-tech, search and personalizationExperience in data mining and analysis tools such as Python/ SQL etc.Develop broader mathematical toolkit for understanding the business (including fundamental learners, e.g. a decision tree)A strong understanding of modern machine learning techniques (libraries/tools) is advantageous Drive business decisions through advanced communication and storytelling using data across all organizational levelsAbility to do statistical analyses with minimal guidance including descriptive and inferential techniques；Confident with product analytics techniques such as User Profiling, Predictive Modeling, Regression and classification analyses, A/B testing, etc.Work experience with data visualization tools like Tableau, Looker, or Power BI Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Auto Data Scientist Pricing R D	Clearcover	Our Value Proposition: Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat. What are we looking for? We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features. What will you do? Build and evaluate pricing and unit economic component models Develop risk segmentation recommendations that find the right balance between growth and unit economics Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time Democratize data and insights to facilitate data-driven decision-making What will you bring? Strong experience with applying advanced quantitative or predictive modeling techniques Actuarial experience preferred in Auto and Property Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions Strong programming skills with experience in SQL, R, and Python Excellent communicator and willingness to challenge the status quo Alignment with Clearcover core values But wait, there’s more: As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Senior Data Scientist	Gemini	Empower the Individual Through Crypto Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto. Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement. At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home. Select roles that are location-specific will still be eligible for flexible schedules. The Department: Trust and Safety Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, legal, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection. The Role: Senior Data Scientist As a member of our Trust and Safety data intelligence and strategy team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization. Responsibilities: Process, clean, and visualize data from complex databases and create top-notch reporting solutions Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team Design experimentation frameworks such as decision trees and A/B test models, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates Design, build and enhance dimensional models for BI solutions Perform root cause analysis and resolve production and data issues Create test plans, test scripts, and perform data validation Tune SQL queries, reports, and ETL pipelines Build and maintain data dictionary and process documentation Research new tools and technologies to improve existing processes Qualifications: 5+ years experience in data analytics, strategy analytics or modeling role 5+ years experience developing a BI applications (Tableau/Looker/Power BI, etc) Advanced skills with SQL are a must Proficient in Python Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc) Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc) Experienced in working collaboratively across different teams and departments Strong technical and business communication This role may require on call rotations Preferred Qualifications: Proficient in Developing LookML Knowledge and experience of financial markets, banking or exchanges Experience working in small firms or start up technology first It Pays to Work Here We take a holistic approach to compensation at Gemini, which includes: Competitive Compensation and Profit-Sharing Equity Flexible vacation policy Retirement Plan Matching Generous Parental leave Comprehensive health plans Training and professional development At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-#LI-REMOTE
Artificial Intelligence Leader	Entefy	Join the next revolution in intelligence. In this highly visible role, you will directly contribute to a product that redefines how we digitally communicate and interact with the world—people and things. You will lead an incredible team to create groundbreaking technology that beautifully combines natural language processing, big data, and artificial intelligence. We promise this will be nothing short of a massive undertaking that will forever change everything. Skills and Experience: Changing digital interaction is hard. Changing the world with digital interaction is even harder. Our success demands creativity, curiosity, and the willingness to collaborate from every Entefyer. The ideal candidate for this role possesses: Requirements Ph.D. in Artificial Intelligence, Natural Language Processing, Machine Learning, Physics, Mathematics, or related field preferred. 8+ years of relevant experience. Distinctive ability to attract and select the right people for the right position. Demonstrable ability to define and quickly develop POCs and prototypes. Ability to quickly learn complex systems and new technologies. Strong communication and collaboration skills. Courage to innovate and fail. Demonstrable experience in Computer Vision, NLP/NLU, Machine Learning, or advanced Data Science. Proficiency with Deep Learning is preferred. Visit www.entefy.com and www.blog.entefy.com
Senior Data Scientist	Entefy	Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience: We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. Requirements Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred. 5+ years of relevant experience. Demonstrable proficiency in Python, Scala, SQL, or R. Strong data visualization and reporting skills. Expertise in extracting insights from real-world structured and unstructured datasets. Proven track record delivering high-value, advanced analytics. Experience leading the work of other data scientists or analysts is preferred. Strong communication skills Startup agility and versatility. Visit www.entefy.com and www.blog.entefy.com.
Data Scientist	Entefy	Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience: We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. Requirements Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred. 3+ years of applicable work experience. Demonstrable proficiency in Python, Scala, SQL, or R. Strong data visualization and reporting skills. Proven track record delivering high-value, advanced analytics. Experience leading the work of other data scientists or analysts is preferred. World-class ability to extract and communicate insights from real-world datasets. Startup agility and versatility. Visit www.entefy.com and www.blog.entefy.com.
Senior Data Scientist	Striveworks	The Role As a Data Scientist on the Striveworks Technical Engagements team you will be challenged—and trusted—on day one to be a core contributor to the projects and direction of the company. You will be a key Striveworks representative and solutions provider to project sites and customers where Chariot, our proprietary data platform is deployed. You will be leading and working alongside a team of data scientists, software engineers, and site reliability engineers to transform machine learning models into functional products. You will use your expertise to integrate and apply the Striveworks platform, and rapidly prototype and deliver machine learning capabilities for our customers through custom algorithms and software systems. You will tackle real-world problems as they unfold, utilizing your technical expertise and communication skills to provide reliable and scalable solutions. The anticipated base pay range for this position is $190,000–$240,000/year. In addition to base pay Striveworks offers annual performance-based equity paired with a lucrative cash bonus, a full benefits suite, and two compensation reviews per year. You are right for this challenge if you: Value and possess technical expertise and you push the boundaries of your own capabilities Are outcome-driven, not requirements-driven Know that customer-facing activities, technical communications, and time management skills are all important Are passionate about the intersection of Software Engineering and Data Science This role both allows and requires flexibility in work location. At times, you will be tasked with on-site travel to customer locations. At other times, you can be based in a location of your choice, or visit our Austin, Texas headquarters. Potential projects include: Development of machine learning models and custom analytic algorithms on image, video, text, geospatial, time-series, and/or tabular data sets Orchestration and automation of complex data engineering and analytic pipelines Implementation of and integration with modern event-driven and microservices architectures Everything as Code Implement and deploy software into cloud environments Opportunity to conduct mission-critical field work The Right Fit We spend a lot of time in our hiring process talking about shared values, because we passionately believe that fostering an environment where people can self-actualize and pursue greatness is the best way to achieve our individual and collective goals. What does this mean? We want an environment where our team members persevere relentlessly to achieve their goals. We want an environment where team members know the team has the same goals, and they make and accept decisions for the team with humility. If your say/do ratio is 1, if you know that there is no smartest person in the room, then we’re already on the same page. Here's what else we are looking for: Expertise in machine learning and data science Exposure to algorithms, data structures, and design patterns Strong previous experience in building and delivering production analytics Experience leading a team Comfort with Python Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD) Exposure to graphical user interface (GUI) design concepts Familiarity with database design and architecture: relational and non-relational Driven, self-directed personality Strong sense of mission and commitment to making a difference B.S. degree in computer science, machine learning, or a related discipline; and 8+ years relevant experience Active Top Secret security clearance Able and willing to travel up to 25% The Wish List We are very interested in Data Scientists that possess the above qualifications, and heavily appreciate and consider the addition of: Experience with ETL pipelines, data pipelines, and/or workflow automation Exposure to one or more cloud architectures Understanding of JavaScript frameworks such as React, Vue, or Angular Experience implementing RESTful or GraphQL APIs Comfort with deep learning library (PyTorch, TensorFlow) concepts and usage Understanding of synchronous, asynchronous, and concurrent programming Understanding of networked and distributed computing Knowledge of messaging systems such as Kafka, RabbitMQ, or similar The Tech Stack We believe in constant curiosity and peer-driven learning. As a Data Scientist for Engagements at Striveworks, you will learn about—or teach—the latest software technologies and processes, participate in open-source projects, and take part in pair programming. You will be able to grow your skills in: Python, PyTorch, NumPy Docker, Kubernetes, Terraform, kOps React, Typescript, Angular Flyte Find some of our public projects at github.com/Striveworks. The Benefits Top-of-market salary and total compensation Generous equity plan Health/vision/dental insurance Free lunches, snacks, and happy hours Flexible PTO plan Striveworks The world’s looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally, or too slowly, to be effective in dynamic, fast-paced environments. Striveworks is simplifying ModelOps with a powerful and extensible platform that instantiates the data analytic process as code. Striveworks is trusted by leading Fortune 500 firms as well as leaders in the public sector to be their primary solution for managing model development, monitoring, and governance—and ensuring those models solve the real challenges their organizations face. Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Uniquely, as you train, test, deploy, and use models, our lineage system enables you to track not only the “upstream” provenance of model and data sources, but also the “downstream” usage of the resultant model inferences. Combining this with a highly principled experience for data and model development, Chariot gives our customers in highly regulated industries an unmatched governance solution over the top of a performant ModelOps platform. Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion or belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at [email protected] Striveworks is a participating employer in the E-Verify program.
Director Data Scientist Auto Telematics	Usaa	Purpose of Job USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. The candidate selected for this position will work with the within the P&C Data Science organization and lead the telematics team. The candidate will leverage telematics and contextual data to drive strategy and innovation across all P&C lines of business. Leads a team of Data Scientists responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to that generate management insights and enable customer-facing applications. Utilizes technical acumen and in-depth understanding of business processes and practices to influence the creation and execution of operational and strategic plans. Partners with IT and other areas to build major improvements to analytical processes and systems. Advises Senior Leadership on the development of data science solutions and long-term goals and or strategies. Maintains relationships with academic and industry thought leaders to ensure the enterprise has access to cutting-edge thinking and technologies. Job Requirements Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.Oversees and executes the exploration of promising new technologies, analytical methods and data sources (internal to USAA & external) that have potential to add value to the enterprise.Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.Understands the business direction, and environment and strategies to identify and recommend solutions that influence decision makers and drive change.Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.Builds and leads a high performing team of experts in advanced analytics; develops team reputation as highly skilled experts in the field of data science. Minimum Requirements: Master’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field.6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years of experience in predictive modeling, large data analysis and computer science.3 years of direct management experience.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. Preferred Experience: Experience with Auto telematics and common uses of telematics in the insurance industry.Proven experience delivering business value utilizing Internet of Things, or other connected edge devices.Experience with cloud solutions that leverage AWS for machine learning tasks, such as EMR, SageMaker, and Snowflake.Experience with Big Data feature engineer and modeling with time series and geospatial data.Experience with the full modeling lifecycle in a large financial services organization.Experience managing across multiple value streams concurrently. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $155,400 - $279,800* (this does not include geographic differential it may be applied based on your work location). Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors. Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. Please click on the link below for more details. USAA Total Rewards Relocation assistance is not available for this position. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Data Scientist Mid Level Model Development	Usaa	Purpose of Job USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees. Job Requirements Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements: Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks. Preferred Experience: Advanced working experience using Python.Experience with Python implementation of data science models.Financial Services industry experience is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900* (this does not include geographic differential it may be applied based on your work location). Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors. Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Senior Data Scientist Nlp	Clarity Ai	At Clarity AI, we are committed to bringing social impact to markets. We are a tech company started in 2017, leveraging AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets.We are now a team of more than 300 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as BlackRock, Deutsche Börse and Softbank who believe in us and share our goals. We have plans to continue growing our teams in Spain, the UK and the US this year so if you would like to join us on this rocket ship, keep reading!What are we looking for?We like data scientists that work with data in a scientific way and that share our passion for bringing social impact to the markets and making a difference. At Clarity you will help develop the “gold standard” to quantify social impact that will be used by investors, consumers and governments: Use state of the art NLP tools, including the latest large language models, to efficiently extract, classify, and generate sustainability information Working side-by-side with a top-talent team from business and academia. LOCATION: this role can be based in Madrid, Spain, in a hybrid model.As the ideal candidate for the position: >4 years of working experience as a Data Scientist, 2 years experience with NLP You excel at problem solving: Clarifying the nature of a problem and formulating relevant questions. Breaking down a problem into smaller, more manageable parts, creating business value every step of the way. Deciding among possible solutions in a critical way. Implementing actions and evaluating outcomes in a quantitative way. You have strong communication skills. The right candidate can thrive in an environment of asynchronous conversation, since a part of the Clarity team is based outside Europe. We expect you to have strong communication skills and be able to create working relationships with coworkers across various locations. You possess and know how to share technical expertise: Practitioner of modern NLP tools and techniques for classification, extraction, summarization, regression etc Proficiency in standard tools Preferred Python and its data science ecosystem (spacy, nltk, Hugging Face, OpenAI, etc). SQL and noSQL databases and techniques: Data processing and cleaning Working with limited labeled data and humans in the loop Fine tuning and stacking of models Regression, classification, clustering and other standard algorithms. Bonus points if you have experience in Deploying big data technologies like Spark or Dask Using pipeline orchestration tools like Airflow Work experience in a software company / using software best practices in your day-to-day work You have a start-up way of working: Self-motivation and drive to succeed. Getting-the-job-done mentality. Learn by doing, all the time. Authorized to work in Europe / UK Responsibilities of the role include You are expected to expand the technical expertise of our current NLP team. You will share that expertise by both providing technical guidance to the team and mentoring junior members. Day-to-day, you will have freedom to research, design, validate, and deploy NLP models to improve our current NLP systems. - WHAT WE OFFER:People are one of Clarity’s main assets. We have built a unique team and we all share 3 differential aspects: Excellence, Passion and Values. The team comprises professionals from leading consulting and banking firms, MBA graduates from top business schools, entrepreneurs and researchers and PhDs. Clarity’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur who has been recognized as one of the most distinguished leaders under the age of 40 by prestigious institutions like the World Economic Forum. We are different. We work hard to become the best place to work and pride ourselves on our culture: Fact based: Promoting objective, fact-based and solution-oriented discussions. Diverse: Encouraging diversity of personalities, cultures and experiences. Transparent: Communicating feedback transparently, constructively and in real-time. Meritocratic: Striving for excellence and rewarding the best. Flexible: Working flexibly in the broadest sense (schedule, location, vacation, styles). We care about our employees. We think that every effort has to be rewarded and want them to feel comfortable with us. ESOP/ Phantom stock: We want our employees to really feel part of Clarity. That’s why we give them the opportunity to participate in our success with ESOP or phantom stock options. Training budget: Continued learning is important to us so we provide everyone with a yearly training budget. Amazing office in Madrid: We are located at Paseo de la Castellana 43 28046 Madrid Floors 5th and 6th floors. We are a US company with a Spanish and London subsidiary. We have offices in NY, London, Abu Dhabi and Madrid, and a remote culture.Our investors believe in us and share our goals. We are a leading startup thanks to public and private funding.Clarity has received several awards: Young Global Leader to Rebeca Minguela 2017. Top 10 Fintech startup worldwide by BBVA Open Talent. Top 2 start-ups with impact worldwide by IMPACT Growth 2017. One of the most innovative Spanish companies by NeoTec. One of the most innovative projects in the US. Harvard Innovation Lab.
Data Scientist	Givedirectly	This role is fully remote but working hours must overlap with typical working hours (9am-5pm) in the East Africa timezone by at least 4 hours a few times per week. About the Field Data team As we scale to reach millions of people experiencing extreme poverty, we believe that data can transform cash delivery by: Improving recipient experience Increasing operational efficiency Mitigating risk Conveying our impact to donors To realize this vision, we are building a best-in-class data team focused on cash delivery: operations, payments, and recipient safeguarding. You will be the Field Data team’s first Data Scientist, reporting to the Senior Data Manager and working closely with the Senior Data Architect. This is an opportunity to join at the inception of the team and guide foundational decisions regarding vision, priorities, and best practices. We are a small (but growing) group with a startup mentality, applying engineering best practices and a product development approach to data. Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. We primarily use SQL, Python, and R. About this role You will deliver insights and decision making tools that help shape cash delivery by determining which projects we take on, how we design them, and how we implement them. Responsibilities include: Statistical analysis and predictive modeling. Own process end-to-end: implement statistical methods and build, train, and deploy predictive models to solve problems in cash delivery utilizing code (e.g., Python, R). Current priorities: Targeting. Implement and improve existing machine learning algorithms predicting poverty level from call-detail records (CDR) and geospatial data. This work enables us to remotely identify eligible recipients at scale, and has been highlighted in WIRED with findings published by our research partners in Nature. Risk prediction. Develop new risk prediction models that help us design programs and target recipient outreach to keep recipients and communities safe. Support data quality assurance. Work with the Senior Data Architect to design processes that ensure key metrics, models, and analysis are built on high quality data. Communication. Collaborate with leaders throughout the organization to define data product requirements, educate them about solutions, and make recommendations. This role has a high degree of autonomy and the ability to shape our process from the ground up by determining best practices and informing the data product roadmap. Reports to: Senior Manager, Data About you You are an analytical problem solver who knows how to: Frame a testable question from ambiguous requirements Gather, clean, and manipulate the required data Deliver answers that directly inform important decisions You deliver results that impact real-world outcomes by: Solving for user needs and constraints Understanding when to build complex models and when simpler solutions are more appropriate Communicating takeaways clearly You are intellectually curious and humble. You think probabilistically and measure the uncertainty of your predictions. You are a mid-level to Senior Data Scientist with the following qualifications. Required qualifications: 5+ years experience working with data querying languages (e.g., SQL) and statistical modeling software (e.g., Python, R) 5+ years experience as a Data Scientist or related position applying statistical and/or machine learning (ML) techniques, with a deep understanding of the key parameters that affect their performance Deep understanding of ML algorithms – ability to apply the appropriate methods, as well as benchmark and diagnose predictions to rapidly improve performance Proficient in spark, dask, and/or other packages for distributed computing Ability to travel and deploy to international, on premise locations for up to 1 month at a time Preferred but not required qualifications: Bachelor's degree in a STEM or other quantitative field Helpful qualifications (we do not expect you to have all of these): Advanced degree in a STEM or other quantitative field Experience analyzing call-detail records, geospatial (e.g., ArcGIS or Python geospatial stack), and/or social network data Experience developing an end-to-end machine learning pipeline with a scalable ML framework (TensorFlow, Torch, H2O, Spark MLib, scikit-learn) Familiarity with cloud-based solutions (AWS, GCP etc.) for storing and processing large, terabyte-scale, datasets Familiarity with poverty measurement methodologies – e.g., geographic poverty, poverty proxies, common administrative data sources, household survey data Experience building dashboards and visualizations, preferably in Tableau Experience mentoring and developing teams of Data Scientists Level and Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to ensure that staff’s total compensation package (base compensation + bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Data Scientist: The United States base salary for this role is $130,000 with a 10% bonus index. The Kenya base salary for this role is $72,000 with a 10% bonus index. For non-US and non-Kenya candidates, the salary for this role will be adjusted based on cost of living and the local labor market. A benchmark for your location will be shared during the interview process. For exceptionally experienced candidates we are open to considering a Senior Data Scientist role for this posting. Both positions will start as independent contributors with the potential to manage if the team grows.
Senior Data Scientist Research Software Engineer	Uc Berkeley	The Eric & Wendy Schmidt Center for Data Science & Environment at Berkeley (DSE) is in search of 2 Senior Data Scientist / Research Software Engineers who are excited to lead the technical development of the new center. Schmidt DSE Senior Engineers will play a critical role in developing and delivering on all technical aspects of our given project efforts. As an experienced data scientist / research software engineer, you are excited to work with interdisciplinary teams and to help grow our program from the ground floor. You have a passion for designing and implementing technical solutions, and you would be excited to see your work have an impact on the challenges facing our environment. Candidates who would like to be considered for both senior and non-senior levels for this position are encouraged to submit applications to both openings. To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Senior Data Scientist / Research Software Engineer (6028U) - #46361(link is external). About Us The DSE combines the power of computing and environmental science with open science principles and a commitment to inclusivity—all towards the purpose of building tangible, replicable, and accessible solutions to problems compromising the health of our environment. We aim to co-create these solutions in direct partnership with those who hold the knowledge and expertise of their local needs and environmental context. The Center aims to contribute to the global community who are similarly working to take on these challenges in four key areas: Generating ground-breaking computational/data science discoveries motivated by pressing environmental questions; Producing scalable solutions to critical threats facing the environment, powered by open-source tools; Deploying these solutions widely, taking advantage of modern cloud infrastructure and open data/open software, and maintaining a design philosophy of vendor neutrality to ensure that community needs are prioritized; Creating an enhanced pipeline of young environmental leaders connected to local communities and organizations to meet their needs and translate our research findings and technological developments into practical impacts. Primary Responsibilities Applies advanced research and development expertise to plan, design, develop, modify, debug, deploy and evaluate data enabled computational tools that address environmental challenges. Leverages existing open source applications where applicable and develops and contributes new code and features when current applications are insufficient. Understands how to evaluate all technical options, decide the best path forward, and develop upon the chosen path both as a contributor and as a technical leader guiding additional research engineers. Works with research communities and users to develop, implement, and optimize computational and data analysis/analytics software/tools/algorithms/research codes with broad applicability. Iteratively designs new code and functionality while concurrently testing with a variety of potential users to understand use cases and improve the applications. Works with environmental domain experts to ensure that the applications being developed accurately represent the science behind them. Understands and applies advanced research and development practices, open source programming principles, community standards and department policies and procedures. Serves as technical lead for research and development projects of moderate to broad Scope. May represent the organization as part of a team at national and international meetings, conferences and committees. Qualifications Advanced knowledge of data science/research software development. In depth skills and experience in independently and collaboratively resolving complex computing/data problems. Demonstrated ability to communicate technical information to people with various backgrounds both technical and non-technical and to external audiences. In depth experience assessing a broad spectrum of technical and research needs to establish priorities, delegate and/or lead development of solutions. Demonstrated research and technology project leadership and management skills. Experience or interest in developing applications with environmental impact. Education Bachelor's degree in related area and / or equivalent experience / training required. Master's or PhD degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred. Location Ability to work at the DSE collaborative space on UC Berkeley campus, with flexibility in terms of timing, preferred, though fully remote candidates will also be considered. Contact For any questions, please reach out to [email protected](link sends e-mail). Applications To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Senior Data Scientist / Research Software Engineer (6028U) - #46361(link is external)
Data Scientist Research Software Engineer	Uc Berkeley	The Eric & Wendy Schmidt Center for Data Science & Environment at Berkeley (DSE) is in search of 2-3 Data Scientist / Research Software Engineers who are excited to work with interdisciplinary teams and to contribute to a program's technical needs. Schmidt DSE Engineers will play a critical role in developing and delivering on all technical aspects of our given project efforts. You have a passion for helping to develop and implement data-enabled solutions, and you would be excited to see your work have an impact on the challenges facing our environment. Candidates who would like to be considered for both senior and non-senior levels for this position are encouraged to submit applications to both openings. To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Data Scientist / Research Software Engineer (6104U) - #46408(link is external). About Us The DSE combines the power of computing and environmental science with open science principles and a commitment to inclusivity—all towards the purpose of building tangible, replicable, and accessible solutions to problems compromising the health of our environment. We aim to co-create these solutions in direct partnership with those who hold the knowledge and expertise of their local needs and environmental context. The Center aims to contribute to the global community who are similarly working to take on these challenges in four key areas: Generating ground-breaking computational/data science discoveries motivated by pressing environmental questions; Producing scalable solutions to critical threats facing the environment, powered by open-source tools; Deploying these solutions widely, taking advantage of modern cloud infrastructure and open data/open software, and maintaining a design philosophy of vendor neutrality to ensure that community needs are prioritized; Creating an enhanced pipeline of young environmental leaders connected to local communities and organizations to meet their needs and translate our research findings and technological developments into practical impacts. Primary Responsibilities Plans, designs, develops, modifies, debugs, deploys and evaluates data science/computational science research software and technologies. Analyzes existing software, scientific codes, data science/analytics codes/algorithms related hardware or works to formulate logic for new systems and devises algorithms. Works closely with Program Manager, Senior Research Software Engineers and the program team to develop data-enabled software solutions to a given environmental challenge. Understands and applies open research and development practices, community standards and department policies and procedures relating to work assignments. Works both independently and in collaboration with the program team and stakeholders to design and implement technical solutions to environmental challenges. Documents usage modes, capabilities, characteristics and performance of research codes/software. Publishes and presents, based on research and development work, results about data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community. Qualifications Intermediate knowledge of data science/research software development. Advanced skills, and demonstrated experience associated with deployment of data science applications and tools. Demonstrated ability to regularly interface with management. Demonstrated ability to contribute research and technical content to program outputs. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences. Proven skills and experience in independently resolving broad computing/data problems using introductory and/or intermediate principles. Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Proven ability to successfully work on multiple concurrent projects. Proven ability to understand research computing/data needs, mapping use cases to requirements and how systems/software/infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions. Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators Bachelor's degree in related area and/or equivalent experience/training. Education Bachelor's degree in related area and / or equivalent experience / training Location Ability to work at the DSE collaborative space on UC Berkeley campus, with flexibility in terms of timing, preferred, though fully remote candidates will also be considered. Contact For any questions, please reach out to [email protected](link sends e-mail). Applications To apply to this position, please visit the UC Berkeley Jobs site and follow the instructions for Data Scientist / Research Software Engineer (6104U) - #46408(link is external).
Research Data Scientist	Ecohealth Alliance	EcoHealth Alliance seeks a Research Data Scientist to work closely with our computational science team on reproducible research in disease ecology and forecasting. This is a key position at a rapidly growing NGO with diversely funded scientific research programs around the world focused on conservation and zoonotic disease emergence. The position will work on multiple projects, developing forecast models for disease spread via travel and trade, early-stage outbreak forecasting, and early warning signals of disease emergence. EcoHealth Alliance uses a reproducible data science tool stack that includes, R, targets, tidyverse and tidymodels, git/GitHub, , GitHub Actions, AirTable, Open Data Kit, Dolt, and Stan. We build interpretable models, using frequentist and Bayesian methods, generalized mixed linear and additive models, and machine-learning models such as boosted and Bayesian additive regression trees. A successful candidate will have experience with some of these tools and methods and/or equivalents, and a demonstrated ability to learn and adopt new tools. This position is based in New York City with a remote (including international) option. Visa sponsorship and moving expenses are available for hires to move to work primarily in-office. Remotes hires must be available to collaborate with team members via email, chat, and video calls during US EST business hours and be available as needed to coordinate with collaborators in other international time zones. The position will require regular travel to the New York office several times per year for a remote candidate. Description and Responsibilities Reporting to the Senior Data Scientist and Principal Scientist, the Research Data Scientist will : Build machine-learning models using frequentist and Bayesian methods for insight, prediction, and use in production Analyze, visualize, and summarize complex, high-dimensional data and model outputs to extract insights and trends and communicate these to diverse audiences Build reproducible pipelines for data collection, processing, and quality control Support the development of internal and open-source R packages and tools Produce high-quality data visualizations and written reports/manuscripts on data science and modeling project outputs, targeting audiences with a wide range of technical knowledge Work with EcoHealth Alliance scientists to develop new scientific research projects and research proposals on pandemic preparedness and emerging disease ecology Engage openly and respectfully with EcoHealth Alliance scientists and partners across multiple projects as required and at all project stages, from development to implementation to publication/communication Present work and represent EcoHealth Alliance at conferences and scientific meetings and in outreach to current and potential collaborators, donors, and other audiences Perform other tasks as assigned by supervisor Qualifications Minimum Qualifications Master’s degree or PhD in data science, statistics, ecology, epidemiology, or a related field, or B.A. or B.S. and 3+ years relevant experience. Data science or programming “bootcamp” training will be considered with sufficient experience Strong R programming skills, including processing high-dimensional data (including geospatial data), producing reproducible reports (R Markdown/Quarto), developing automated pipelines (targets/drake/make), visualization, and writing R packages Experience applying machine learning techniques to answer research questions Experience with version control (git) and command-line tools. Demonstrated ability to self-teach new methods and tools Strong project management skills, including proven ability to work independently and manage multiple projects and deadlines while working with multiple teams Excellent interpersonal and written and verbal communication skills, including the ability to document methods and results and communicate effectively with colleagues Positive attitude towards solving complex problems Strong sense of team spirit and cultural sensitivity Fluency in English Additional Desired Qualifications Experience in Shiny app development, development of interactive dashboards Experience in the processes of reproducible and open scholarly research A record of scientific publications Compensation will be $70,000 - $80,000 USD annually, commensurate with skills and experience. At EcoHealth Alliance, our vision is a workplace with a diverse and talented staff where people want to come, to stay, do their best work, and grow. We recruit, employ, train, compensate and promote our staff without regard to race, ethnicity, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or socioeconomic status. EcoHealth Alliance offers a competitive salary and a comprehensive benefit package including health, dental, and vision coverage, and a 403(b) pension plan. EcoHealth Alliance is proud and deeply committed to being an equal opportunity employer. How to Apply: Please apply via the form below (found at https://www.ecohealthalliance.org/career/research-data-scientist-2023 if you found this post elsewhere). You will be asked to upload a cover letter and a resume or CV as a single PDF document with a filename of the format “FirstName_LastName.pdf”. Please limit the letter and resume to no more than two pages in length each. Applications will receive an automated message of receipt. Only applicants selected for an interview will be contacted. Applicants are encouraged to include links to manuscripts, code repositories, online portfolios, and other demonstrations of experience in their cover letter or CV, but public or open-source work is not required. Candidates selected for interviews will be asked to provide examples of analytical work and contact information for three references. The deadline to apply is January 15, 2023 . Thank you for your interest in EcoHealth Alliance!
Data Scientist Lead	Booz Allen Hamilton	Data Scientist, Lead The Opportunity: Are you a seasoned analytics professional who wants to be at the cutting-edge of data science and artificial intelligence? If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science and machine learning expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with the full life cycle of machine learning development and deployment for fraud, waste and abuse, identity theft, risk and other rare event detection. As an advanced data scientist and researcher on our team, you’ll introduce innovative data science and machine learning methodologies to make a real-world impact on fraud and risk detection You’ll share your skills in predictive modeling and machine learning operationalization and shape the future of analytics through a variety of means like white papers and client presentations. We’ll keep you sharp and moving forward in your career, with access to online courses and the latest tools and methods. Whether you’re or building models to detect identity theft or helping prevent improper you’ll lead a team that serves critical missions from end to end. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia. Join us. The world can’t wait. You Have: 4+ years of experience with data science, machine learning, data engineering, or data analyticsExperience with the full life cycle of machine learning development and deployment, including gathering requirements, identifying data, preparing data, building, validating, and using deployable predictive models with the usage having in tangible resultsExperience with providing technical direction and leadership to data science teams, including analytic ad hoc requestsExperience in working with and presenting to nontechnical clients who do not have a lot of expertise in data science or machine learningExperience with business development, technical leadership, product management or product ownership, or client facing project workKnowledge of the landscape of technology capabilities around data science or machine learningAbility to work on business development capabilities independently, including proposal and white paper writingAbility to present to clients about firm capabilitiesAbility to obtain a security clearanceBachelor's degree Nice If You Have: Experience with developing predictive models around fraud, risk, or rare eventsExperience with cloud AI environments, including Databricks, Azure ML, or AWS SagemakerKnowledge of Agile and Scrum processesAbility to come up with good solutions or plans to deal with client lack of data or technologyAbility to create solutions without having specific business requirementsPossession of excellent verbal and written communication skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation: At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits. The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is $157,250 to $166,500. Create Your Career: At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to: access online and onsite training in data analysis and presentation methodologies and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good eventparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success. We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
Data Scientist	Booz Allen Hamilton	Data Scientist The Challenge: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve the government's advanced analytics capabilities. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia. Join us as we use data science for good in bringing decision support and innovation to our clients. Empower change with us. You Have: 1+ years of experience with data science, data analytics, systems engineering, and machine learning engineering within an academic, professional, or internship environmentExperience with programming languages, including Python, C++, Java, or RExperience in working with structured, unstructured, or semi-structured data and conducting analysisExperience with data wrangling techniques to cleanse data for data science applicationsKnowledge of the software development life cycle, testing, and version controlAbility to obtain a security clearanceBachelor's degree Nice If You Have: Experience with distributed programming languages, including Spark or ScalaExperience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcementExperience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSetsExperience with business intelligence tools, including Tableau or QlikExperience with data lakes, data warehouses, or data lake housesExperience with cloud services, including AWS, Azure, or Google CloudExperience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science modelsExperience with CI/CD, including Git, Jenkins, and DockerPossession of excellent verbal and written communication skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation: At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full time and part time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs, individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below. Colorado: $70,600 - $147,300 (annualized USD) New York (including New York City): $75,000 - $180,100 (annualized USD) Build Your Career: At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to: access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success. We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
Jr Data Scientist	Umortgage	This role is remote but you are required to come in to present data findings as needed Role: Jr. Data Scientist Department: Technology What Sets Us Apart At UMortgage, we have a customer-centric, service-based approach. We primarily focus on home purchases, providing an emphasis on consumer education, real estate agent relationships, and a personalized experience for home buyers. Our goal is to empower our team members to provide a best-in-class experience at all times while prioritizing long-lasting relationships. What We Need We are looking for an analytical, personable, and confident Data Scientist to join our Technology Team. As a Data Scientist, you will use your problem-solving skills and creativity to analyze data to help build predictive models, and design and implement analytics products. The ideal candidate will be a self-starter with an eagerness to learn and improve processes. Ready to join the team? Apply Now! What You’ll Do Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services.Build predictive models, tools, and data visualizations.Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed.Conduct exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive)Provide support in mining datasets in conjunction with information analysis tools such as Python/SQL and using databases in a business environment with large-scale, complex datasets.Collaborate with engineers, program managers, and external stakeholders to troubleshoot problems and proactively create solutions.Give presentations on findings, and new reports/data trends to executives and other stakeholders.Maintain a high degree of customer satisfaction through the implementation, investigation, analysis, training, and relationship-building efforts.Additional responsibilities related to business needs. What You Need Bachelor’s Degree in Data Science, Engineering, Computer Science, Mathematics, Statistics, and Actuary Sciences preferred.A minimum of 2 - 3 years of professional experience in a data-focused roleStrong knowledge in Python and libraries within (TensorFlow SciPy, NumPy, Pandas, Matplotlib/Seaborn, Pytorch, scikit-learn)Ability to confidently communicate verbally and in writing in a presentation setting. Ability to be adaptable and flexible in a fast-paced environment.Understanding and System knowledge within Power BI, RDBMS, Jupyter notebook, and Version Control Physical Requirements The physical requirements described here are representative of those that must be met by an employee in order to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Must be able to stand, sit, and walk for extended periods of time Includes frequently reaching with hands and arms, and using hands to handle and feel Requires close vision, distance vision, peripheral vision, color vision, depth perception, and ability to adjust focusMust be able to perform activities with repetitive motionsMust be able to work in an environment with variable noise levels
Principal Data Scientist Healthcare	Closedloop	About ClosedLoop: ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates. We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success. What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us! About the Role: ClosedLoop is looking for a senior, customer-facing Principal Data Scientist to build and deploy predictive models for our healthcare customers. As a Principal Data Scientist, you will mentor, teach and coach other data scientists on the team. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production. What you'll do: Building predictive models on healthcare data using the ClosedLoop platform. Work with customer teams to ensure that models are deployed and integrated into real world decisions. Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform. Train and educate customer data scientists on best practices for data science in healthcare. Create presentations and present model results to both technical and non-technical audiences Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform. What you'll bring: Bachelors or higher in Computer Science or related experience 5+ years of engineering experience with Python Prior experience with healthcare data science required Experience leading, coaching and mentoring other data scientists Prior experience working in a customer facing consulting position Understanding of machine learning and statistical analysis Why ClosedLoop: Competitive salary Equity 100% company-paid health insurance for medical, dental, and vision for employees and their families HSA & FSA options Short & long-term disability Life insurance 401k plan Flexible PTO Parental leave Remote work Employee Testimonials: "Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!" "Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding." "Room to thrive" "Passionate People, Supportive Environment, & Strong Vision"
Senior Data Scientist	Alltrails	Senior Data Scientist About AllTrails AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers, and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 40 million people worldwide. Every day, we solve incredibly hard problems so that we can get more people outside having healthy, authentic experiences and a deeper appreciation of the outdoors. Join us! What You’ll Be Doing: Building statistical and machine learning models that will be pushed into production systems, at-scale Identifying unique solutions in which data can be transformed and applied into actionable solutions and new product features that drive revenue for the organization Partnering with teammates and product managers to develop robust solutions to highly specific technical challenges Identifying technical and strategic gaps in our data science infrastructure and proactively driving best-in-class solutions Presenting work to a large variety of stakeholders Requirements: 5+ years of work experience in data science. B.S. or M.S. degree in data science, machine learning, mathematics, or equivalent practical experience. Proficiency with Python and SQL Solid understanding of basic machine learning concepts (e.g. clustering, regression, classification) and a curiosity to learn and apply more complex techniques (neural networks) Experience with the end-to-end machine learning lifecycle (data cleaning, feature extraction, training/testing, model evaluation, optimization, deployment, etc.) Experience with scaling models in a production environment Experience working collaboratively on shared codebases using Git Experience in iterative exploratory notebook development (Jupyter, Hex, etc.) Comfort in reading highly technical research papers and translating learnings into effective prototypes Strong attention to detail, analytical, and a problem solver with a keen insight for asking the right questions and building solutions to drive direct business value Expert communication skills, including the ability to persuade and inspire, a knack for breaking down complex concepts, and a proactive attitude towards knowledge sharing and documentation Bonus Points: Professional experience implementing or working with geospatial trajectory (GPS / GIS) data, recommendation engines and personalization, NLP, and/or computer vision Experience with modern Data Warehouses like BigQuery, Redshift, or Snowflake Experience with transformation tools like dbt or Dataform Experience with best practices in data engineering and software development lifecycles Our Commitment to You: A competitive and equitable compensation plan. This is a full-time, salaried position that includes equity Physical & mental well-being including health, dental and vision benefits. Trail Days: First Friday of each month off to hit the trails! Unlimited PTO Flexible parental leave Remote employee equipment stipend to create a great remote work environment Annual continuing education stipend Discounts on subscription and merchandise for you and your friends & family An authentic investment in you as a human being and your career as a professional Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.
Senior Data Scientist	Signifyd	The Data Science team builds production machine learning models that are the core of Signifyd's product. We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals. The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management. We value collaboration and team ownership -- no one should feel they're solving a hard problem alone. Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects. The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we strive to iteratively improve our remote culture. How you'll have an impact: Build production machine learning models that identify fraud Write production and offline analytical code in Python Work with distributed data pipelines Communicate complex ideas to a variety of audiences Collaborate with engineering teams to strengthen our machine learning platform Past experience you'll need: A degree in computer science or a comparable analytical field 4+ years of post-undergrad work experience required Building production ML models Using visualizations to communicate analytical results to members outside your team Hands-on statistical analysis with a solid fundamental understanding Writing code and reviewing others' in a shared codebase, preferably in Python Practical SQL knowledge Designing experiments and collecting data Familiarity with the Linux command line Bonus points if you have: Previous work in fraud, payments, or e-commerce Data analysis in a distributed environment Passion for writing well-tested production-grade code A Master's Degree or PhD Check out how Data Science is powering the new era of Ecommerce Check out our Director of Data Science featured in Built In #LI-Remote (Colorado and New York City only*) Minimum salary of $125,000+ bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Benefits in our US offices: 4-day workweek Discretionary Time Off Policy (Unlimited!) BetterHelp Online Therapy Membership Dedicated learning budget through Learnerbly 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag
Data Scientist	Wasabi Technologies	At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston. Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API request and delivered as a single-tier solution. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity. Role Description: Data Scientist Role Purpose: The Data Scientist will be an integral part of the Finance Operations team, which is responsible for providing insightful analysis across the company to ensure the company is meeting its intended goals. This role reports to the Chief Financial Officer. #LI-Remote Responsibilities: Build models to understand and predict metrics like user growth, future revenue, conversion, churn, and more. Manage recurring revenue (MRR/ARR) calculations, retention analysis and pipelines. Focus on uncovering critical insights and delivering models to leverage those findings thus powering intelligent business decisions. Create, manage and improve KPI dashboards for all departments. Collaborate with leadership, sales, finance, product, engineering, operations and marketing teams to identify, and optimize revenue enhancing opportunities. Drive measurable business value and communicate the results to technical and non-technical stakeholders. This person will be managing a Business Analyst as part of their responsibilities. Requirements: 5-7 years’ experience working as a data scientist partnering with finance, business operations, and/or sales teams. Experience with MRR/ARR and retention analysis at a SaaS/recurring revenue company. Intermediate/Advanced Proficiency (or at least 2-5 years expertise) in at least one scripting language (ideally Python or R). A strong understanding of statistics, including regression and predictive modeling. Strong proficiency in writing complex SQL queries, manipulating data, and common Python data science libraries (such as scikit-learn, etc.) and generate dashboards in Tableau. Concentration in mathematics or similar, including statistics, and programming, business intelligence/analytics, as well as data science tools (such as Hadoop, Elastic Search) and research using large data sets. Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users. Bachelor of Science with a major in Statistics, Computer Science, Decision Sciences, Quantitative Methods, Applied Mathematics or similar quantitative field of study. Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Manager Data Science	Discover	About This Role Discover. A brighter future. With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify, prioritize, and supervise the team to flawlessly execute on initiatives. Responsibilities Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithm & recommendation to solve business problems. Manages priorities and sets of analysts, assign projects and allocate resource, communicate business performance and project progress to management & business partners. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design, and implement tests to drive strategy enhancement and optimization. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Consistently follow standard work processes and documentation requirements. Continuously improve technical and leadership skills through training and development. Minimum Qualifications At a minimum, here’s what we need from you: Bachelor’s Degree in Computer Science, Economics, Engineering, Mathematics, Sciences, or related field 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field Preferred Qualifications If we had our say, we’d also look for: Master’s Degree in Business, Computer Science, Engineering, Mathematics, Sciences, or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field What are you waiting for? Apply today! All Discover employees place our customers at the very the center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management. The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
Principal Data Science	Discover	About This Role Discover. A brighter future. With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career. Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Responsibilities Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development. Minimum Qualifications At a minimum, here’s what we need from you: Bachelor’s Degree in Computer Science, Economics, Engineering, Sciences or related field6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field Preferred Qualifications If we had our say, we’d also look for: Master’s Degree in Business, Computer Science, Engineering, Mathematics, Sciences or related field4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field What are you waiting for? Apply today! The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
Senior Product Data Scientist	Scribd	At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide. Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection. About the Role The business strategy and analytics team is looking for a driven and innovative Senior Product Data Scientist, to drive both our ads monetization strategy and our creator strategy. It will require you to both be an advocate for our creators and readers in creating and reimagining what it means to share and consume knowledge as well as tuning our free logged out experience to optimize between value to the reader and value to the business. To succeed, we must be able to help creators get readers and help readers find content from creators. In this critical role, you will lead the reimagining of the product that powers this marketplace. We are looking for a data scientist who thrives on having large ownership over a product 80M people use a month, is comfortable navigating uncharted territories to uncover customer needs and translating that into compelling strategies, and demonstrates excellent ability in creating and executing A/B testing strategy with thoughtfulness and urgency. You Will: Alongside the Senior Product Manager for creator and the Senior Ad Tech Product manager you’ll help craft a compelling vision and strategy to drive years of customer and business impact. Set goals for both ad performance and creator features by focusing on controllable inputs and helping the team ladder that up to company goals like revenue. Set up our ads reporting strategy in partnership with the business intelligence developer by clearly stating requirements and data pipeline needs. Do discovery analysis on creator performance, including partnering with user research to tie quantitative findings to qualitative reasons. Design A/B tests to balance between impact and learnings and analyze the tests to provide a recommendation to the agile squads in direction forward. * Ads business will be quick iteration A/B testing * Creator A/B testing will focus on learning initially and focus on solving creator centric problems Continuously monitor progress against our OKRs and make adjustments as new information comes in. Frequent communication with stakeholders on how we’re progressing against our goals, learnings we have, risks we foresee and where we need support from the organization. You Have: User empathy to deeply understand what problems our users are experiencing, business acumen to decide which are the right problems to go after, and creative problem solving to deliver innovative solutions to our readers and creators. Analytical skills to understand how our readers and creators are using our products, features and tests that can inform future strategy decisions. Technically proficient to cross the aisle with the engineering team to work collaboratively on strategy and execution. Ability to manage up and across to get alignment and drive influence. We need the support of many teams, including eStaff, to execute on our strategy. Able to create an energized, high functioning, empowered team that enjoys what they do and who they do it with. Benefits, Perks, and Wellbeing at Scribd Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees • 12 weeks paid parental leave • Short-term/long-term disability plans • 401k/RSP matching • Tuition Reimbursement • Learning & Development programs • Quarterly stipend for Wellness, Connectivity & Comfort • Mental Health support & resources • Free subscription to Scribd + gift memberships for friends & family • Referral Bonuses • Book Benefit • Sabbaticals • Company wide events • Team engagement budgets • Vacation & Personal Days • Paid Holidays (+ winter break) • Flexible Sick Time • Volunteer Day • Company-wide Diversity, Equity, & Inclusion programs Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life --------------------------------------------------------------------------------------------------------------------------- We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing [email protected] about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. --------------------------------------------------------------------------------------------------------------------------- Remote employees must have their primary residence in: Arizona, California, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work. #LI-Remote
Head Of Growth Data Science	Classdojo	ClassDojo's mission is to give every child on Earth an education they love. We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide. We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too. What you’ll do: Data is core to how ClassDojo makes informed choices. As our data science manager of network growth, you’ll help build the world's largest consumer education business, one that is already reaching tens of millions of parents, teachers, and children. The data science function at ClassDojo is an equal partner to product, engineering, and design. Here you'll build a team that will tackle a broad range of product and business problems: uncovering unique user insights, identifying and testing critical product improvements, and driving direct product results. You will be a match if: You have at least 8 years experience in a data science role You have at least 4 years experience of building high-performing data teams, but you are also highly proficient at diving into data yourself You might be a good fit if: You have expert knowledge in driving network growth: you’ve previously driven substantial improvements within product growth teams and you have a strong vision for how a network growth team should operate. You are a strong strategic problem-solver: you thrive in identifying and refining problems to solve. You have the ability to think about high level about product strategy and you have a vision for how data can help drive that strategy. You contribute to high-level strategic choices with the rest of the product and executive teams. You are a strong player-coach: you’re a strong coach for your people. You have experience hiring and managing groups of highly-talented data scientists. You are a strong communicator: you are able to clearly articulate your thinking, verbally and in writing. You proactively share your work, even if it’s still in progress, bringing the team along with you. You have a sharp ambiguity filter, always seeking to clarify what is unclear for yourself and for others. You get energized by doing “hands-on” work: You are able to take complicated problems and boil them down to their simplest components You have the ability to write structured and efficient SQL queries on large data sets You have experience designing AB/multivariate tests and drawing actionable conclusions [1] Some more context: - ClassDojo's 125m Metaverse Mission (Forbes) - ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it. ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records.
Data Scientist Clinical Research	Lyra Health	About Lyra Health Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million. About the Data Scientist (Clinical/Research) Role At Lyra we believe that data-driven technology and decision making is a critical part of solving the thorny, complex challenges of provider quality and accessibility in a broken system. In this role, you will work with the Clinical Product team to conduct research on the clinical outcomes of Lyra’s programs, which will be published in peer-reviewed journals. This role can be full-time in our Burlingame, CA headquarters, OR virtual (remote candidates must be currently located in the United States). Responsibilities include: Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey Own the analysis plan and statistical methods of Lyra research publications as a coauthor Analyze claims data to determine customer impact of investing in mental health Partner with data engineers to build pipelines that apply clinical logic to raw data Complete time-sensitive ad hoc data requests for internal and external stakeholders Qualifying Skills & Experience: MINIMUM of 2+ years of professional experience in data analysis, preferably in a healthcare industry setting. Academic/internship experience alone will not qualify. Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression) Graduate level Statistics coursework with MS in a quantitative field preferred (statistics, econometrics, biostatistics, quantitative social sciences). *Familiarity with clinical / social psychology research methods a plus. Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions and automate. Strong SQL proficiency, including experience writing complex queries with multiple schemas and tables. Experience working directly on projects the result in published articles in scientific/academic journals Experience developing comprehensive analyses using diverse data sources. Willing to self-start, self-teach and research if you don’t know how to do something. Direct experience (or interest in) public health is a plus. Diversity & Inclusion Diversity, equity, inclusion, and belonging (DEIB) at Lyra is essential to the way we deliver culturally responsive care, build and manage our provider network, and support holistic efforts to strengthen DEIB in workplaces around the world—including our own. People come to Lyra with a range of needs, backgrounds, and abilities that influence their response to mental health support. Our diverse network of providers delivers comprehensive mental health treatment and support rooted in culturally responsive care, a multicultural approach that accounts for the impact of cultural backgrounds on each person’s care experience. Learn more at https://www.lyrahealth.com/diversity-equity-inclusion-belonging/ #LI-REMOTE We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability, genetic information or any other category protected by law.
Data Scientist	Abacus Insights	Abacus Insights is a mission-driven technology company focused on transforming the healthcare industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights that address their clients' needs. In addition, our employees know that they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met. With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. As a result, these payers can ingest and manage all the information they need to transform their business by supporting their analytical, operational, and financial needs through our platform. Since our founding in 2017, Abacus has built a highly successful SaaS business, raising more than $81 Million by leading VC firms with profound expertise in the healthcare and technology industries. We are solving massive complex problems in an industry ready for disruption. We're building powerful momentum and would love for you to be a part of it! About the Team & Role:As part of the Analytic Solutions team – the Data Scientist II is a person who uses extensive technical and business knowledge to develop and maintain analytic solutions for prospects and existing Abacus Insight clients. In addition, you will be working closely with all the business leaders by acting in an essential role in bridging the technical and business needs to design solutions and services that inspire our customers and are compelling to the market. You Will: Drive innovation and lead the continual development of analytic solutions to expand use of the underlying Abacus data platform; subject areas include provider cost & network analytics, risk adjustment, medical trend, and population health/value-based careDefine key performance and business value metrics incorporated in analytic solutions that measure clients’ operational and financial performance, and highlight the value generated by Abacus Collaborate with Product, Engineering, Delivery, and Security teams at Abacus Work closely with Sales team to create strategies that will drive “technical wins” leading to the acquisition of new customers and upsells to existing customers Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies Help to determine customers' needs and desires by working directly with key clients, capability leadership, and specifying the research needed to obtain market information What we're looking for: 5+ years of experience in the healthcare industry Highly proficient programming skills in SQL Python, and/or R Master’s or Bachelor's Degree in Engineering, Business, Statistics, Mathematics, Healthcare, Data Science, or equivalent field Subject matter expertise in areas of healthcare and clinical data Strong payer/provider knowledge with hands-on experience in architecting, designing, and developing analytic tools Proven ability to successfully collaborate with internal stakeholders from various parts of the organization and drive successful outcomes cross-functionally Strong technical background combined with solid business experience Ability to manage competing priorities and deadlines Highly collaborative and with the ability to lead by influence Familiarity with Cloud Services like AWS, Azure, and data terms – JSON, ETL tools, data mappings, data profiling, SQL, data pipelines entity resolution, data catalog, data governance, data distribution, running or writing simple python scripts Working knowledge of data architecture fundamentals – data model concepts. analytical vs. operational workloads, latency and performance considerations Preferably knowledge in machine learning and time-series modeling Equal Opportunity Employer:As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we are dedicated to building diverse teams and providing equal employment opportunities to all employees and applicants for employment. As well as prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #BI-REMOTE
Senior Data Scientist Economist Demand Forecasting	Thrasio	Wild Thinkers Welcome Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs. We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right. From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday. Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers. The Role As a Senior Data Scientist / Economist on the Demand Forecasting team, you will own a demand forecasting system at the center of inventory, promotions, pricing, and marketing decision-making across Thrasio’s extensive portfolio of omnichannel products. Partnering closely with experts in causal inference, pricing, optimization, and machine learning, you’ll help drive world-class automated decision-making through accurate and timely demand forecasts, a fundamental part of Thrasio’s long-term success and continued market leadership. Responsibilities Leveraging machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts within a hierarchical product catalog context. Partnering closely with the pricing, promotions, supply chain, and marketing science teams to integrate the causal impact of their business levers into your forecasts, creating a single source of truth for forward planning for the business. Developing distributions around your forecast via either parameter estimation or non-parametric bootstrapping techniques to power automated robust optimization systems. Collaborating with cross-functional partners such as engineering, product management, and brand managers to build interfaces to your models, allowing for informed, tracked overrides of forecasts where business context is missing. Driving strategic initiatives across the broader org as a leader at Thrasio. Owning team development cycles, managing risk, and bringing stakeholders along for the ride What You Bring To The Party Masters or Ph.D. in a quantitative subject (i.e. computer science, economics, operations research, statistics, etc.) or a related field such as Industrial Engineering, Statistics, Mathematics, Computer Science, etc. 5+ years (Masters) or 3+ years (Ph.D.) of practical experience working with demand forecasting systems (ideally in e-commerce). Expertise in some of statistical/econometric time series modeling (ARIMA, Exponential Smoothing/ETS, GLMs/GAMs, Dynamic Factor Models, etc.), machine learning (XGBoost/LightGBM, RNNs, Transformers, etc.), or hybrid time series techniques (ES-RNN, N-BEATS, TFT). Proficiency in Python or R, SQL, Git Nice To Have, But Not Required Experience in supply chain optimization, pricing, causal inference (to ease collaboration with partner teams). Familiarity with Databricks, Snowflake, Spark (or other forms of distributed computing). THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY. Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.
Principal Analyst Ai Operations	Atb Financial	Our bottom line is different.There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients.Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.Job Number: REQ5324Location: Anywhere in Alberta, preference for Calgary or Edmonton #LI-RemoteApply by: Wednesday, December 21, 2022Paygrade: M-OTHSystem Title: Software Developer 8# Positions available: 1Leader Name: Daniel ArogundadeAs ATB’s next Principal Analyst, AI Operations, you will participate in data science initiatives and lead the operationalization of AI/ML services and products. Your ability to operationalize and continue to support AI/ML services and products will be tested. As one of the faces of the AI community, you will lead and promote the growth of the evolving AI/ML discipline from an operational perspective. You will exemplify operational excellence in delivering and supporting AI/ML solutions.Key Responsibilities Implement data science model, support code refactoring and optimization, containerization, deployment, versioning, and monitoring of model quality. Collaborate with Architecture, Cloud Infrastructure, Security, Data and AI Governance, and other support teams at all levels to foster successful partnerships critical to the design, development, testing, and implementation of continuous delivery solutions (CICD). Participate in AI/ML product solution design, testing/test automation, validation and contribute to project roadmaps. Identify risks and proffer mitigation plan/solution to resolve impediments to targeted milestones. Lead the prioritization and resolution of escalations and take proactive steps to address root causes. Develop, implement, and monitor day-to-day operational systems and processes that provide visibility into goals, progress, and obstacles for our key initiatives. Advance the knowledge, skills, performance and development in AI/ML. Promote ATB's software development lifecycle (SDLC) and ensure compliance with ATB’s SDLC processes. Promote and adhere to ATB’s CI/CD and CT/CM processes, ensuring compliance with all processes. Support and champion the evolution of the delivery framework to provide the optimum platform for rapid and repeatable delivery of new solutions and support of existing solutions. Assume full ownership of new technology solutions or PoCs where applicable - from prototype to growth. Continuously drive to explore, improve, enhance, automate, and optimize systems and tools to best meet evolving business and market needs. Lead estimation and forecasting work; ensure that technology solutions are delivered in a timely and cost-effective manner. Interact with all relevant technology services and operations teams in scheduling and implementing periodic maintenance of systems hardware and software, including supporting and/or leading hardware and software upgrades and system releases. Assist with the alignment, agreement, and documentation of service level targets and responsibilities - e.g., SLRs, OLA, SLAs to continually improve the performance of operations. Assist with coordinating the transition of projects from implementation to operations, documentation, version management and knowledge transfer. Identify, manage, and control associated risks with AI/ML model transition to production. Coach and mentor team members at lower levels. Accreditation University degree in computer science, engineering, business, or related disciplines or an acceptable combination of education, experience and training. 5+ years of experience in big data related projects, preferably in the deployment and support of Machine Learning Models. 5+ years experience with programming languages like Python, R, C++ or Bash. 5+ years experience in infrastructure and information systems environment. 3+ years of experience working with Agile methodology and tools such as Jira and Confluence. Advanced knowledge of Machine Learning Operations (i.e. ML pipeline orchestration). Proficiency in structured and unstructured database languages (i.e. BigQuery , NoSQL, MS SQL). Ability to implement MLOps pipelines on cloud solutions (GCP, AWS ,MS Azure). Experience with MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc. Experience with containerization such as Docker, Kubernetes and OpenShift. Advanced knowledge of Linux and frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Fundamental knowledge of ITIL and IT operational processes. Advanced understanding of IT operational monitoring and automation systems. Blue Prism certification or comparable experience would be an asset. Knowledge of data analytic and visualization tools like Tableau and Microsoft Power BI would be an asset. Certification related to data science or machine learning, or relevant experience in this realm. Key Relationships Work with delivery squad, data platforms team, AI platforms team, data scientists, operations team and technical thought leaders in AI. Work cross-functionally with all lines of ATB business, supporting internal AI and automation units as well as external vendors. Work in close partnership with technology partners and the customer experience office. Core Skills Experience with operations of products and services powered by machine learning algorithms. Understanding of the fundamentals of the machine learning lifecycle and ability to move services from development into production. Strong analytical and critical thinking skills to recognize and comprehend complex issues, policies, regulatory requirements and industry information affecting ATB's environment. Excellent interpersonal, leadership, communication, problem-solving, decision-making and collaboration skills. Decisive and self-directed, comfortable working in a rapid-paced, constantly changing environment requiring the ability to manage and prioritize multiple priorities while achieving great results. Experience defining and ensuring an industry-leading software operations process is followed. Well versed in security best practices as it relates to software development and operational support. Ability to adapt to new responsibilities as assigned. Strong risk management skills. At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are a match for this position, please consider applying.Interested? If you know one of our team members, BEFORE applying, reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please let us know if you require any accommodations.Be great. Be you. Believe.We are dedicated to building a workforce reflective of the diversity within our communities and creating an environment where every team member has what they need to reach their potential. We encourage candidates from all equity-seeking groups to apply.What happens next?Thank you for applying online. If you are shortlisted for this opportunity, you will hear from us after the posting close date regarding next steps. We might ask you to participate in a digital interview or phone interview. If you require any accommodations, please let us know.Stay in touch! ATB is excited to know you’re interested in a career with us! Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.
Manager Data Science Product Analytics	Lattice	This is Data Science at Lattice As a Manager – Data Science, Product Analytics, you will be responsible for leading data scientists who partner deeply with our Engineering, Product, and Design teams to accelerate data-driven product development. Your role will be centralized across many products in the Lattice platform and you will have a unique opportunity to make a large impact on the influence of data on a quickly growing customer base and the broad suite of products that Lattice offer. In addition to partnering with Engineering, Product, and Design leadership on strategic initiatives, you will also manage full-stack data scientists across a variety of projects and problems ranging from data modeling in dbt to reporting in Looker and analysis in python or R. What You Will Do Guide business impact of data scientists partnered with our product team, advising on topics such as metric creation, feature success analysis, and roadmap prioritization Regularly communicate out insights, commentary, and recommendations about the state of our products in light of our product strategy Support the personal development of data scientists by advising on technical analysis including machine learning techniques and experimentation Create and contribute to team-wide processes and documentation Manage sprint planning and workload distribution across data scientists as they prioritize work across the platform Guide technological decisions in collaboration with our analytics engineers and other key stakeholders Roadmap Data’s bi-annual plan, managing expectations and inputs from across the engineering, product, and design organization What You Will Bring to the Table Have hired, trained and supervised individuals in a data or analytics function 5+ years experience working in Data Science or Analytics Proven ability to deliver data, recommendations, and insights that have a material impact on product development, strategy, or other key business areas in a B2B Saas environment A track record of collaboration with stakeholders Deep expertise in a facet of data science including but not limited to machine learning, experimentation, or data analysis History of guiding teams to successfully complete projects on time and within scope Sharp SQL skills Hand-on experience with either R or Python Familiarity with a BI tool such as Looker Even if you don’t meet each of the components of experience we’ve listed here, we don’t want that to get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
Applied Machine Learning Scientist Core Ml	Chartboost	Who we are: Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences. Impact you will make: Apply, develop, optimize, benchmark and productionize ML approaches to push our AI-driven product forward Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance Stay current on technology trends and developments in the relevant ML areas Who you are: PhD (or Msc) in computer science, machine learning or related fields Strong practical experience and knowledge of the mathematical concepts behind algorithms in several of the following areas: supervised learning, reinforcement learning, deep learning, multi-armed bandit, multimodal machine learning, online learning Proficiency in Python, SQL and machine learning frameworks such as Pytorch and Tensorflow Experience with distributed training and inference pipelines on large datasets A willingness to branch out to learn new domains/ approaches and make progress independently The following experience would be a plus: Ad tech and/or mobile space Hands-on in large scale production grade machine learning systems Perks: Comprehensive medical, dental and vision insurance Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role 401(k) plan with match through Fidelity Catered lunches and fully stocked kitchens Commuter Program Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use More about us: We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming! We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
Director Of Trusted Ai Product Management Office Of Data Science	Liberty Mutual	Help bring Liberty Mutual into the future by advocating on behalf of all data scientists across the enterprise. For Liberty Mutual to be successful using ML, DS, and AI we need to ensure our customers, partners and regulators have trust in the data driven decisions we make. The Director of Trusted AI Product Management will be a key member of the Office of Data Science Product Team. As the Director of Trusted AI Product Management, you will lead Trusted AI efforts at Liberty Mutual. You will develop a vision, strategy and roadmap for the Trusted AI portfolio and obtain buy-in from key stakeholders. Liberty Mutual aspires to be the data science leader within the insurance industry and you will play a key role in partnering across the organization to make this happen. Responsibilities: Develop vision, strategy, and roadmap for the Trusted AI portfolio inclusive of Data Science reliability, privacy & security, fairness, interpretability, and governance Manage Trusted AI vendor and open-source selection and tool development for the Trusted AI Portfolio. Partner with Corporate Technology to embed Trusted AI practices into LMs enterprise DS tools Provide updates and presentations to senior leaders on the Trusted AI Program Partner with the Trusted AI Data Science Leader, ODS Science and Liberty Mutual Data Science teams to further cultivate a DS culture of trust and integrity Build relationships across the enterprise and promote excitement for Trusted AI initiatives Collaborate with Enterprise Risk Management, Corporate Actuarial, Legal, and Global Compliance and Ethics on efforts to reduce the risk of data science and machine learning Key traits we are looking for: Data Science Passion: you have a passion for making things better with data science Integrity: you build and maintain trust with your colleagues, stakeholders, partners, and leaders Leadership: You are a passionate leader who can bring the enterprise together, gain cross team alignment and deliver results Customer Empathy: ability to try on the experiences of customers and stakeholders – especially those with conflicting viewpoints Problem-solving: you can solve difficult problems efficiently with appropriate methodologies Communication Skills: you can communicate to a wide variety of audiences adapting your technique as appropriate in a strategic manner Job Specifications: Reference: 2022-52909 Category: Data Science Primary Location: Remote Additional Locations: Boston, MA; Seattle, WA; Schedule: Full-Time Salary: USD-$129,500.00-–-$184,000.00-/-Year Education Level: Travel: As Needed
Director I Data Science Product Design Modeling	Liberty Mutual	The Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our core programs. The ideal candidate is proactive and intellectually curious, highly technical, and can efficiently think through complex business questions independently. The Individual Contributor role will report to the Liberty Auto Design manager, but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team. *Please note: This is a grade range posting (Grade 17-19) and level will be determined by the Hiring Manager based on experience. Responsibilities: Build complex loss cost models for Liberty Auto products to drive pricing and non-pricing sophistication with minimal supervision Act as a technical and subject matter expert for US modeling Make well-informed decisions on how to structure a pricing program that considers the customer experience of additional questions, as well as regulatory restrictions on certain variables Work with massive amounts of data (e.g., 200 million records for our Liberty-brand Auto product) to build sophisticated models Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections Present recommendations to key stakeholders Act as a mentor and help develop less experienced analysts on the team Job Specifications: Reference: 2022-52797 Category: Data Science Primary Location: Remote Additional Locations: Boston, MA; Seattle, WA; Schedule: Full-Time Salary: USD-$114,200.00-–-$204,200.00-/-Year Education Level: Travel: As Needed
Data Scientist	Aristocrat	Job Posting Title Data Scientist Why Big Fish Games? Big Fish Games is the home of some of the biggest hit mobile casual games including EverMerge, Gummy Drop!, Cooking Craze, Fairway Solitaire, and many more. We are curious and constantly seek improvement in all we do because that’s what our business demandsWe operate with good intentions, confidence, and humilityWe welcome diversity of background, thought, and experienceWe listen actively and value each otherWe foster a fun environment that inspires creativity Overview We are looking for an amazing Data Scientist to support the different Game Studios at BFG. You'll be responsible for supporting A/B test design and analysis, building machine learning models, and helping to support our day-to-day operations by building scalable data science solutions. Successful candidates for this role have strong SQL and statistics skills, are passionate about games, and are clear communicators. What You'll Do Engage with PMs, designers, CRM managers to identify analysis requirementsDevelop a deep understanding of available data to drive ad-hoc analysis and answer questionsPerform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by businessEvaluate performance of new features and contentBuild machine learning models and work with engineering teams to productionalize model outputs.Effectively write, present and communicate research results with recommendations. What We're Looking For Bachelor’s degree or equivalent work experience in Statistics or related discipline such as Mathematics, Economics, Computer Science, Engineering, etc.Experience with SQL, R, PythonExperience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validating resultsExperience with data mining, machine learning, statistical modeling tools and underlying algorithmsMinimum 1-3 years in a data science function Data visualization and dash-boarding building experience with Tableau, Looker, or similar tool Benefits And Beyond Employees constantly rate Big Fish Games highly for its leadership, flexibility, well-being, diversity and inclusion through quarterly surveys. FLEX-Forward work environment: Customize the when, where, and how you work while delivering goalsHealth & More: Medical, dental, vision, life, disability, Teladoc services, employee assistance program (EAP)Work-Life: Wellness Friday (half-days), paid time off, parental leave, flexible work policy, studio holiday closure (Enjoy the week between Christmas and New Year!) Wellbeing: Wellness fairs, weekly virtual workout classes, 24/7 access to mental health and wellbeing support, free therapy and counseling sessions for you and your familyWealth Care: 401k matching, flexible spending account (FSA), employee discounts, employee stock purchase programLearn & Grow: LinkedIn Learning subscription, mentorship program, career development, individual development plans, educational assistance on job-related professional development Community & Fun: Company social events, employee impact groups, company swag, volunteer opportunities About Big Fish Building upon our 20-year legacy as a leader in the biggest gaming categories in the world, we are innovating and developing new products within the casual space to add to our extensive portfolio. Big Fish is dedicated to delivering amazing experiences for players to connect, compete and discover play, anywhere and on any device. This means games for broad global audiences in genres that are easy to learn, and difficult to master. Be a part of the team from the start. Big Fish is part of Pixel United, the free-to-play, mobile-first video games business of Aristocrat Leisure Ltd (ASX: ALL)! Big Fish Games is an equal opportunity employer. We bring unique talents together to build something special that’s why we welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. This position can be performed remotely and is currently open to residents of all locations, except in the state of Colorado and New York City. Location Remote - USA (Job Posting) Job family Game Analytics Contract Type Regular Time Type Full time Company Big Fish Games
Senior Data Scientist	Fabulous	The Data Science TeamYou will be part of the data science team. We work cross-functionally with other teams to bring data-driven impact to Fabulous and its business units like Product Growth, User Acquisition and Finance.Practically the team handles 3 data areas: Data Project Management: Based on business needs, we sort requests, refine requirements and ACs with business and/or data stakeholders, prioritise, plan and executive while communicating proactive and frequently to ensure visibility and a well connected feedback loop with involved parties (reviewer, data stakeholder, business stakeholder) Applied Analytics & Data Science: Data Exploration, Defining appropriate and agile analytics approach. We aim for simplicity and interpretability but don't shy away from complexity when faced with it. All new projects have a strong Data Science component during the first MVP iteration Analytics Engineering: Data Modelling and Transformations to serve build, maintain and scale our Analytics Pipelines. Practically, as soon as an MVP gets validated by different stakeholders, we start implementing it and improving it iteratively in our dbt project. Testing and data observability is a highly important component. Proper architecture that helps manage TechDebt is another key element here as well. All members of the team are expected to excel in all three areas to be autonomously impactful. We work in an agile manner by splitting bigger projects into iterations that rarely expand beyond 3 weeks to ensure impact. We have a modern cloud-based Data-Stack (Fivetran - Big Query - dbt - Amplitude - Metabase - Looker Studio) and want to consolidate our ranks with a capable well-rounded Senior Data Scientist who can integrate our agile context smoothly and bring value quickly.Expectations \| DutiesThis role is highly critical to the continuous success of the data science team: You will work on diverse high priority business projects to make Fabulous more data driven. Those projects will be in close collaboration with business teams and will aim for clear and tangible business impact like (improving accuracy of metrics, analytically exploring new growth perspectives, building well-tested analytics reporting pipelines, investigating and correcting data discrepancies, applying statistics and ML effectively...) You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role. You are expected to gradually own some aspects of the team's responsibilities (some parts of the code base, become the main point of contact with at least one business team, have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth...) You will be expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. This should be fulfilled with minimum guidance from the Head of Data & Analytics You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers Working at FabulousFabulous is a mobile app helping thousands of people every day to change their lifestyles by integrating healthy habits into their lives. Fabulous is using a behavioral economics lens to help everyone achieve their fullest potential. We work closely with researchers based at Duke University and our advisor is Dan Ariely, author of NYT bestseller Predictably Irrational.Featured onMichelangelo, the famous Italian sculptor, once said: “Every block of stone has a statue inside it, and it is the task of the sculptor to discover it.”At Fabulous, every team member is a sculptor in their own right. Together, we help millions of users step out of their block of stone and step into the fullest version of their life.Awards Apple Best Apps of 2018 Editor’s app choice in more than 30 countries. Winner of Google’s Material Design Award Best App Finalist in Google Play Awards Ranked 5th Health & Fitness app University Degree in Engineering, Computer Science or Applied Mathematics A minimum of 4 years of experience in applied Data Science with strong engineering component At least 2 years of previous hands-on experience with Digital Marketing/User Acquisition (aka UA) (attribution, iOS privacy & SKAN, UA metrics reporting) or Product/Growth (AB-testing, Retention, Monetisation...) Excellent SQL skills with previous experience building data models for analytics purposes using dbt or a similar data transformation tool that emphasises on good engineering practices and system architecture Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc…) Self-Starter with the ability to work autonomously and own and manage your projects fully (also manage your stakeholders and the communication with them) Excellent written and verbal communication skills (English) Comfortable in a remote work environment (we are a remote-first organisation) Prior experience with some of the tools we use in our Data-Stack (Amplitude, dbt, BigQuery, Metabase) - or similar ones Prior experience in an agile start-up environment A professionally nourishing environment with: Co-working space reimbursement Monthly Workshops A Book Club Team Challenges Team-Building Activities A flexible and fully remote working environment Full-time teammates decide their own vacation time Wellness contributions towards for gym, therapy, Fabulous coaches Our environment fosters deep work: Few meetings and interruptions - no meetings for meeting’s sake Positive slack culture - #petsoffabulous and #radiofabulous Flat company hierarchy - roles are focused on deliverables Minimal bureaucracy - we focus on the work And the opportunity to work on a fast-growing product with a large user base that is frequently among the Top 10 most downloaded Health and Fitness apps that makes real change in people's lives.
Lead Data Scientist Financial Forecasting	Ezcater	ezCater is the most trusted provider of corporate food solutions – a $300+ billion market in the US alone. ezCater is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille, and had an up-round in December of 2021 when we were valued at $1.6 billion. Data and analytics are critical to our future growth at ezCater. Equally as important, is how we transform that data into margin accretive business decisions. As a Lead Data Scientist in the Enterprise Performance Analytics Team, you will bring an unparalleled level of insights, and unlock boundless opportunities for the business. You will, first and foremost, own our financial forecasting algorithm, enabling partners and stakeholders from across the business to drive value and plan for ezCater’s future. The ideal candidate is a strong critical thinker, independent worker who can deliver on open-ended questions while working closely with collaborative partners. What you'll do: Own and develop our financial forecasting estimating year one bookings for our new customers Improve financial forecasting modeling to meet business needs while abiding to rigorous analytical principles. As an individual contributor, be the advisor and subject matter expert for data, forecasting and modeling for your domain; advance innovation and improvements to the analytics techniques, approaches, and processes used across the company. Lead the forecasting strategy for broad, unstructured problems while driving forward deliverables that address fundamental and ambiguous business questions. Contribute to financial planning by providing them with cohorted analysis of customer metric projections. What you have: 5+ years experience in a relevant field, such as financial forecasting or data science, performing quantitative and technical analysis, ideally with experience in marketplace or e-commerce environments. Experience in deploying and maintaining machine learning algorithms that are widely used and adopted. Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap. Demonstrated proficiency in explaining complex analysis to stakeholders at all levels of the organization and translating conclusions into straightforward, actionable business recommendations and strategic direction. Self-directed and demonstrated ability to define, prioritize, and direct analytics initiatives. Expert proficiency in SQL and Python and libraries such as Pandas/Numpy/ SKLearn Knowledge of data science / ML approaches (e.g. time series forecasting, Random Forest, Gradient Boosting and Logistic Regression, etc). Experience partnering with business teams on agile model development. Be able to own and deliver projects/programs both on your own and as a member of a broader team. Experience in 2-sided marketplaces for both B2C and B2B customers is a plus. The national cash compensation range for this role is $110,000 - $173,000* per year. *Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance). ezCater does not sponsor applicants for work visas or legal permanent residence. What you’ll get from us: You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance. Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too. Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon. ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones. For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy. #LI-Remote #BI-Remote
Lead Data Scientist	Cvs Health	Job DescriptionCVS Health’s mission is to improve lives by making innovative and high-quality health and pharmacy services safe, affordable, and easy to access. Our team embodies this mission each day, pioneering bold new approaches to total health. We leverage large health and retail datasets & advanced data science techniques to drive the company’s pharmacy operations strategy; some examples over the past year include rolling out COVID-19 vaccines across the country as the lead retail provider in the nation, improving the pharmacy experience for millions of patients, and optimizing activities for thousands of medical providers. We are seeking talented & passionate individuals to be part of this high-impact team. Why CVS Health Analytics & Behavior Change?Looking for opportunities to use cutting-edge technologies to analyze petabytes of data? Interested in generating analytical insights to optimize retail and community pharmacy care?The Analytics & Behavior Change team is an elite, rapidly growing community of nearly 1,000 MDs, PhDs, MBAs, and MScs from top-tier universities and industries who bring their clinical, technical, and economic experience to bear in tackling some of today’s most critical healthcare questions. Get in at the ground floor of our digital transformation. The combined data assets of CVS Health are massive and largely untapped. Help us revolutionize healthcare by innovating solutions to high-visibility challenges with unparalleled access to unique datasets.What you’ll doThe Retail Operations & Immunization Analytics team provides analytics based strategic recommendations on all initiatives in the pharmacy. Over the past year, this has included rolling out nationwide COVID-19 vaccines, testing, & medications at scale while maximizing health equity, provider safety, and public health priorities. We continue to stand up a robust analytics engine to optimize these ongoing initiatives and provide executive reports for internal leadership & government leaders. Upcoming activities include rolling out critical initiatives to optimize immunizations and pharmacy product delivery, building a comprehensive analytics platform across all CVS pharmacies & providers, and improving store service levels for our customers. The team wields cutting-edge analytics and data science techniques to improve the efficiency and effectiveness of our immunization and retail store operations. If you are a hands-on doer who enjoys an entrepreneurial working environment, join us as a Lead Data Scientist. In this role, you will help manage and execute a portfolio of predictive modeling, forecasting, optimization, and evaluation projects. You will serve as an internal expert to business teams within our Retail Health business, to help them harness the power of data to answer mission critical problems and develop new and innovative products. You will report directly to the Lead Director of Data Science for Immunization and Public Health Analytics, while working together with a team of Data Scientists, BI developers, and analytics consultants. There is an option to be fully remote. In any given day, you will• Apply experience from strategy consulting and data science to successfully act as the owner for analytics and research initiatives • Collaborate with business partners to understand key drivers of value, as well as challenges and goals for new products and their implications for public health• Identify opportunities to translate business needs into data science solutions and develop actionable insights to address key challenges in healthcare and pharmacy care provision• Wrangle large structured and unstructured datasets from disparate enterprise databases, including prescription drug and medical claims, Electronic Health Records, retail transaction data and publicly available public health data sources.• Determine analytical approaches, modeling techniques and performance metrics to optimize and evaluate new health programs or interventions – previous projects have applied a diverse set of solutions using retrospective or prospective data analysis, including classification and targeting approaches, causal inference methods, NLP and machine learning models. • Own and manage stakeholder relationships across the business• Establish workplans, timelines, and deliverables for analytics and data science projects, and effectively weigh business and technical tradeoffs• Mentor a team of junior analysts and data scientists• Present modeling results and recommendations to senior stakeholders, tying progress to enterprise goals. • Share insights across teams to inform collaborative efforts. Develop white papers, publications and conference presentations based on key findings from projects. Pay RangeThe typical pay range for this role is:Minimum: 95,000Maximum: 209,000 Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location. Required Qualifications• 4+ years of experience leading analyses and data-driven initiatives with a demonstrated track record of business impact and problem-solving • 7+ years total experience• 3+ years’ experience extracting data using SQL or Spark• 3+ years’ experience conducting data analyses using R or Python• Demonstrated proficiency in using causal inference, applied statistics, machine learning and predictive modeling methods • Data visualization & storytelling experience (e.g. with tools such as Tableau) Preferred Qualifications• Experience using advanced analytics tools to combine large data sets from multiple data sources and analyze them in a big data environment (such as ADL, Snowflake, DataRobot)• Healthcare sector or public health experience• Proficient in working with healthcare claims data• Strong ability to communicate technical concepts and implications to business, policy, and public health audiences Education• Bachelor’s degree in quantitative field, such as statistics, economics, data science or computer science. • Graduate degree in a quantitative field or MBA with a quantitative focus strongly preferred Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Apply
Data Scientist Marketing Analytics	Cvs Health	Job DescriptionIf you love telling stories with data and creating actionable insights, and enjoy working on difficult problems and thriving in data driven organizations, come join CVS’s Retail Media Network (CMX) part of the Fortune 4 CVS Health. We are building a world class team at CMX with the goal to make a significant impact on the company’s already rapid growth. We want to make sure we are both innovative and rigorous as we expand our Analytics & Insights team to lead analytics initiatives that measure the performance of CMX campaigns across digital channels (display, search, social and video)As a Marketing Analytics Analyst, you will collaborate closely with marketing strategy, media activation and partner management teams to understand CMX campaigns objectives and develop campaign measurement methodology. Your responsibilities will include understanding learning agenda, performing test design and measurement through A/B testing, improving operational efficiency through python automation, leveraging customer insights to make future campaign recommendations and build models to generate insights. The ideal candidate will have an advanced SQL and Python background with experience in digital media, e-commerce or retail.KEY RESPONSIBILITIES• Understand campaign objective, identify key success metrics, and develop test design to evaluate performance towards the objectives.• Identify insights and key learnings from the past campaigns to help influence the planning of future campaigns (ie. Audiences, media channels) and drive change in digital marketing strategy and tactics.• Run A/B testing to measure campaign performance and deliver insights. • Experience in database design, data modeling and ETL process within different cloud environment platforms (ie. GCP, Azure, AWS, Snowflake, Databricks) • Automate the campaign measurement process using SQL and Python to improve operational efficiency.• Partner closely with leading publisher partners such as Google, Facebook, Pinterest and TTD to take advantage of new measurement features and learning opportunities.• Lead CMX analytics initiatives and any other ad-hoc analysis to better understand performance (ie. Closed loop report, basket analysis, purchase behavior analytics, customer journey analytics) Pay RangeThe typical pay range for this role is:Minimum: 60,000Maximum: 128,700 Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location. Required Qualifications2+ years of analytics experience with a track record of delivering business impact1+ years of Python experience1+ years of SQL experience Preferred Qualifications•Marketing Analytics experience•A/B Testing Experience• Write complex SQL queries to extract data from SQL Server/Teradata/Snowflake/GCP environments which will serve as underpinnings of ad-hoc and recurring analyses• Experience conducting large scale data analysis to support business decision making• Knowledge and experience in identity resolution and digital data connectivity platforms (ie. Liveramp, Acxiom, Experian, Throttle)• Understanding of the digital media landscape with a focus on retail media networks• Excellent working knowledge of large data manipulation and data mining using complex SQL and Python programming.• Ability to analyze raw data, draw conclusions, and develop actionable recommendations• Strong verbal/written communication and data presentation skills. Must be able to explain technical concepts and analysis clearly to a diverse audience. EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree preferred Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Apply
Data Scientist	Buoy Health	Job to be done We’re the best way to get better. About Buoy Health: At Boston-based Buoy, you can join a work-from-wherever team that empowers people to choose the best care for their health needs. Developed out of the Harvard Innovation Labs by a team of doctors and data scientists, Buoy leverages its AI to understand peoples’ symptoms and then guide them to relevant care options within Buoy’s care marketplace, where people are free to select the option that feels best for their situation. Buoy also works with employers, health plans, and health solutions to simplify and streamline accessing covered care options. Compensation: $120,000-150,000 annually About the Role: Buoy is on a mission to build the most robust destination for managing health needs. By pairing our AI navigation capabilities with an agnostic marketplace of third-party health solutions and care providers, we are matching people with the best care for their unique situation. One of Buoy’s greatest differentiators is leveraging our machine learning algorithms to intake users’ symptoms and provide a potential diagnosis and triage recommendation. As a Data Scientist at Buoy, your core responsibility is to solve problems intelligently and creatively. You will work with Buoy’s product and medical teams to improve the way users find and engage with care through Buoy. You will apply both classical and modern machine learning techniques. You will formulate hypotheses and design experiments to evaluate them. You will develop, specify, and implement validation methods that scale and ensure that other teams are empowered to do the same. You will communicate insights about user behavior, agent behavior, data quality, and data completeness to different teams across the company. To be successful, you must have a keen interest in data-driven decision making and helping people make better decisions about their health. Responsibilities: Implement data-driven solutions to improve the way Buoy’s users engage with care through Buoy Work with our product and engineering teams to productize models and services Design and validate experiments to test models and solutions Advise on A/B testing best practices Turning complex data sets into actionable insights to drive product performance Gather, process, and analyze data to support research Synthesize and communicate insights to the whole company Define, evaluate, and monitor key metrics and understand the root cause of changes About You: BS in Computer Science, Statistics, or related, or equivalent experience 3+ years related work experience Programming experience in Python, C/C++ or Java (3+ years) Professional experience in a quantitative analysis field (2+ years) Good written, spoken, and visual communication skills Ability to formulate effective hypothesis and design experiments Ability to define relevant metrics that can serve as appropriate and accurate measurements and lead to actionable insights Experience with machine learning techniques Experience in e-commerce AND healthcare Bonus Points for the following experience: Graduate degree in Computer Science, Statistics, or related Experience with machine learning applications to e-commerce Experience in personalization and consumer behavior Familiarity with data visualization techniques Experience with Bayesian networks Benefits: Medical, dental, and vision 401k with company match Stock options Generous unlimited vacation policy L&D reimbursement policy Work from Wherever—Buoy is remote first, with employees located across the US Time off for major holidays, including the last two weeks of the year Equal Opportunity Employer Statement:At Buoy, we are united by our commitment in guiding people to the right care. And we believe it takes a workforce that nurtures difference to get the job done. Buoy champions inclusion. We encourage applicants of all ages, races, ethnicities, colors, national origins, genders, gender identities and gender presentations, sexual orientations, disabilities, veteran status, and other characteristics that make a person unique. We are proud to be an equal-opportunity employer, and to be a part of a team that prioritizes diverse points of view. **This role is located in the United States. Unfortunately, we are unable to support international applicants at this time.
Senior Data Scientist	Everquote	EverQuote is seeking a Senior Data Scientist to join our growing team! As a member of the Data Science team, you will be instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote’s long term success. What you’ll do: Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will be joining a team of talented and collaborative data scientists and machine learning engineers eager to grow our business and deliver measurable results. You will establish yourself as a technical leader and a valued team member as our team continues to grow. About you: 4+ years of professional experience as a data scientist including experience developing and releasing predictive models to production Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutions Ability to explain results to technical and non-technical teammates leveraging your communication skills and data visualization Demonstrated performance in building machine learning models using standard tools, such as scikit-learn or R, to drive business improvements Advanced knowledge of applied mathematics and statistics and their common applications in online businesses Experience with or strong interest in understanding and optimizing online auctions for both bidders and sellers Experience with or strong interest in optimization using reinforcement learning and contextual multi-armed bandits Strong skills in statistical and scientific programming in Python or R, fluent in SQL, proficient with Jupyter notebooks Experience with packaging your code for deployment and reusability Passionate about sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders Keen sense about data science technologies, stay on top of industry trends and actively help the team to expand the tech stack Entrepreneurial mindset, want to grow a business, and love working with an Agile team Thrive in a fast-paced work environment where everyday contributions have a big impact Bachelor’s degree in a technical field such as mathematics, statistics, computer science or economics; Master’s degree or PhD in a relevant field preferred. We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role. About Us: EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online. EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status. EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.
Head Of Quantitative Science	Beacon	What you will be doing: Beacon Biosignals is seeking a Head of Quantitative Science to oversee the discovery and deployment of scalable EEG-based neurobiomarkers atop Beacon's Platform. As a Head of Quantitative Science, you'll work directly with executive leadership and Beacon's data science teams to help equip Beacon and its partners with meaningful and necessary brain health metrics to drive the next-generation development of precision therapies for brain disease. This role reports directly to the Chief Technology Officer. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York, or the Bay Area. What success looks like: Establish practices to optimize both the automated and manual feedback loops that power the execution and delivery of data science at Beacon Structure those feedback loops to ensure that data science outputs fold cleanly back into Beacon's core platform, enabling our pace of scientific discovery to compound with each new trial, dataset, and model Identify critical growth areas for individuals, teams, and domains within Beacon, and build out cross-functional collaboration channels that catalyze that growth What you will bring: You've acted as a managing lead spanning multiple data science teams simultaneously within a biopharma context You've grappled with the complex organizational dynamics that constrain and accelerate analysis efforts across the different phases of drug development You write a lot and read even more. Information-gathering is ingrained in every aspect of your work. Your decisions incorporate feedback from stakeholders, your reports, collaborators, and historical context that you intentionally mine over time You have a keen sense for the bandwidth limitations, technical debt, and non-iterative processes that drag a project down, and you've employed effective strategies for preventing/remedying these issues in the past You love seeing teams and individuals level up. You're dedicated to helping direct reports overcome challenges and seize opportunities that are crucial to self-growth You recognize the distinction between the functions of technical and organizational leadership. You strive to work in a manner that embodies both You push for transparency and objectivity when evaluating your projects, your reports, and hiring process. You recognize the symptoms of implicit bias and strive to account for them You're highly cognizant of inter-team dynamics and the effects of Conway's law on system design. You pursue team topologies that are well-shaped to address both proactive and reactive organizational goals You're comfortable working in a remote environment, and have demonstrated success doing so in the past
Senior Data Scientist	Borrowell	Here at Borrowell, we stand in solidarity with Ukraine. We welcome all people making use of the Canada-Ukraine authorization for emergency travel (CUAET) program to apply and we will get back to you as soon as we can.About Borrowell:Borrowell is a Canadian company whose mission is to make financial prosperity possible for everyone. The first in Canada to offer free credit scores, Borrowell provides educational resources, monitoring, innovative digital tools, and personalized product recommendations to help people feel in control and optimistic about their financial future. Our data shows that Borrowell members reported up to a 100-point increase in their credit score after one year of using select Borrowell products.With more than 2.5 million members, Borrowell is one of the largest fintech companies in Canada. We’re proud to have been named as one of the Best Workplaces in Canada every year since 2019, Globe and Mail’s Top Growing Companies (2021), LinkedIn’s Top 15 Startups in Canada (2021), and CB Insights’ Top 250 Fintechs (2021).To support us on our mission, we’re building an exceptional team of high-performing yet humble individuals who believe Canadians deserve more choice when it comes to financial services.Put simply, we put people first. We place a high value on building a diverse and inclusive workplace and are proud to have a gender-balanced team. We know that diverse teams perform better; half of our team identify as women or non-binary.We’re always on the lookout for passionate and driven people. If you think you’d be a great fit at Borrowell, read on to learn more about us and how our business works!About the Role:As a Senior Data Scientist, you will play a key role in formulating the most suitable Machine Learning (ML) solutions through identifying new opportunities, then owning the end-to-end development of ML models (ideation, development, validation, and model monitoring). Alongside our robust Data Analytics and Data Engineering teams, you will work together to iterate existing models (such as product ranking), and build, test, then implement net-new models for projects involving customer personalization, retention, and quality of our product flow experience.During your first year, you can expect to: Identify gaps, understand business requirements, translate them into problem statements, then ideate and recommend data science solutions after thorough research Focus on Feature Engineering, Model Training, and Model Evaluation in addition to data munging/wrangling Identify the most fitting algorithms and statistical techniques for various projects, as well as the best features for models Set up and own post-deployment model monitoring Make business recommendations and effectively present the findings across various stakeholder levels Past working experience building ML models for real-world problems from ideation to implementation Comfortability with making business recommendations and presenting to stakeholders Demonstrated proficiency in one or more statistical programming languages for data science - we use Python Comfortability with writing complex SQL queries to extract and integrate data from multiple database sources Desire to learn and implement production deployment of ML models, if not experienced with it Nice to Haves: Bachelor's Degree (or equivalent experience) in a quantitative discipline Experience with production deployment Proficiency in SparkSQL, PySpark, and/or Azure Databricks Market knowledge in fintech, ecommerce, and/or social media The Opportunity - have a major impact at a growing company that is helping make financial stability possible for everyone Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists Additional Health Benefits - virtual benefit offerings that allow you to connect 24/7 with nurses, doctors and mental health professionals Parental Leave Top-up - available to new parents Wellness Benefit - $600 annually to spend on whatever brings you joy WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you Employee Development Benefit - annual reimbursements on payments to help your learning Givewell Benefit - 1 paid volunteer day a year to give back to the community Flexibility - flexible working hours and a flexible vacation policy 90 Days Away Policy - you can travel to other countries and work outside of Canada for up to 90 days a year - so far, people have used this opportunity to visit Spain, Portugal, Costa Rica, Brazil, France, Italy, the Netherlands, and more We are remote-first across Canada, meaning you have no mandatory obligation to come in-office unless you choose to do so - you decide what is best for you. Our offices are located in Toronto and Kelowna, with teams distributed primarily in Ontario and BC. We do not intend on changing this remote-first status.At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.#LI-Remote
Manager Data Science	Lokavant	About the Opportunity How often are you given the opportunity to build something from the ground up, with an abundance of resources at your disposal; to be part of a team of people accomplished in diverse scientific and engineering disciplines, focused on using the best of what lies at the forefront of technology to address complex, real-world problems that have a positive impact on potentially millions of peoples' lives? This is that kind of opportunity.  Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that. We are seeking a thoughtful, hands-on, and output-oriented manager of data science with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with other departments such as Engineering, Product, Customer Success, and Commercial teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models. Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry. Key Responsibilities Design, build, test and integrate your predictive models into our product offerings Work with data, such as data cleaning, transformation, extraction, and loading (ETL), to prepare datasets for further analysis and modelling Perform exploratory data analysis, evaluate datasets for business values, and produce easy-to-understand visualizations highlighting key insights Develop tools to enable scalable practices across the growing Data Science team; such as model and query optimization, re-usable internal libraries, and process improvements Use a variety of machine learning techniques to solve product focused business problems. Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process Coach and lead a team of data scientists and analysts, provide guiding and coaching while delivering data science enabled solutions Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy Mentor and be mentored by colleagues of varied experience levels and subject matter areas Minimum Requirements Ability to bring data science into action; for example, discover relevant research papers and implement the key ideas from the paper into working models Experience with Bayesian models and applying statistical models for solving real world business problems High proficiency in Python and SQL Exceptional written and verbal communication skills Experience building data models, and a solid understanding of the “modern data stack” Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills Ability to work as part of a collaborative cross-functional team in a fast-paced environment 3+ years of relevant experience in an analytical role involving data science and statistical modeling Master’s degree or above with strong academic performance in Data Science, Computer Science, Engineering, Statistics, or equivalent fields Preferred (Nice-to-have) Qualifications Experience in the life sciences industry Experience with healthcare data, ideally clinical/operational clinical trial data Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.) Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.) Experience with Looker, Tableau or other BI visualization tools Salary Range: $140,000 - $160,000
Data Scientist Ii	Liberty Mutual	The Technology Data Science & Data Governance team is looking for a highly motivated Principal Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be confident, organized, creative, and interested in identifying and solving business problems using data and analytics. They will have the right mix of experience, analytical, technical, and communication skills to thrive in a fast-paced environment. In addition, they will take active roles representing the Data Science community in the Liberty Mutual wide Data Science Professional Resource Group (DSPRG) and serve as a mentor to other data scientists, data analysts and contribute to Technology Data Governance efforts. The Analyst II, Data Science collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This level reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues. Responsibilities: Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for smaller components of projects of moderate-to-high complexity. Regularly engages with the data science community and participates in cross-functional working groups. Job Specifications: Reference: 2022-53024 Category: Analytics Primary Location: Boston, MA Additional Locations: Remote Schedule: Full-Time Salary: USD-$114,200.00-–-$161,600.00-/-Year Education Level: Travel: As Needed
Data Scientist I	Liberty Mutual	The Technology Data Science & Data Governance team is looking for a highly motivated Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be organized, creative, and interested in solving business problems using data and analytics. They will have the right mix of analytical, technical, and communication skills to thrive in a fast-paced environment. The Analyst I, Data Science gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data. Responsibilities: Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Assists in customizing analytic solutions to specific client needs. Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects. Engages with the Data Science community. Participates in cross functional working groups. Job Specifications: Reference: 2022-53025 Category: Analytics Primary Location: Boston, MA Additional Locations: Remote Schedule: Full-Time Salary: USD-$90,100.00-–-$126,200.00-/-Year Education Level: Travel: As Needed
Staff Data Scientist Ai Product	Jasper	About the role As a Staff Data Scientist at Jasper, you will help implement and train the state of the art AI & NLP models, evaluate them, and integrate them into our robust production environment for inference. You will help build automated data retrieval, feature extraction, model training and deployment at scale. You will suggest and institute appropriate evaluation metrics to evaluate models in sandbox and production environments via A/B testing framework. You are good at distilling the results and communicating it to all stakeholders in layman terms. You will keep yourself up to date with the latest research in AI & NLP and come up with proposals to improve our models. You are capable of estimating your own tasks to come up with an accurate delivery timeline for projects. You will produce high quality code through rigorous unit tests, code reviews, and documentation. You will contribute as an individual as well as be capable of leading a team to execute on projects. Our teams are passionate about supporting new employees and growing a diverse culture of ideas and collaboration. Our work is about using artificial intelligence to unlock creative potential. We see AI as a partner to creatives that can get them through writer’s block, over hurdles and out of the content hamster wheel. Ai should empower content creators to do their best work and get time and mental space back for new ideas. Our target market is composed of creatives (writers, designers, content marketers) and content-forward companies. The role is open to candidates located in the US and can be remote within the United States. We have offices in Austin, TX and Salt Lake City, UT with employees based across the US. We've built a strong foundation to support remote employees engagement with other teams. We have a mix of experience levels and backgrounds, and we’re building an environment that celebrates knowledge sharing, mentoring and career growth. What you will do at Jasper Design, implement, train, and evaluate the state of the art AI & NLP models. Contribute to the design and development of ML pipeline to preprocess data, extract features, train and deploy models at scale. Propose and implement appropriate evaluation metrics to evaluate models. Communicate the technical results to all stakeholders in layman terms. Be a steward of identifying and incorporating the latest research in AI & NLP. Own modules of Data Science components that you work in. Contribute and evolve the roadmap for Data Science features. What you will bring to Jasper 7+ years of experience in AI, NLP, ML and Data Science. 5+ years of experience solving analytical problems using data-driven and quantitative approaches. Strong knowledge of statistics, error rates, and evaluation metrics. Strong knowledge of analysis tools and packages such as NumPy and SciPy. Strong knowledge of frameworks such as TensorFlow, PyTorch, Keras. Strong knowledge of SQL and NoSQL databases. Ability to communicate technical findings in a clear, precise, and actionable manner. Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range at offer for this role is $207,000- $240,000. Compensation may vary based on relevant experience, skills, competencies and certifications. The Engineering values that guide us: Engineering without ego - We own our work, but within the framework of the team. We see features through to the end while respecting our team members' ideas Strong opinions, loosely held - We fight for our ideas, but are open to hearing others' suggestions Ship fast, sustainably, and simply - We move quickly without over-complicating but with a minimum of debt Scale each other - We support and teach each other every day in order to be the strongest team possible

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