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Sr Data Scientist	Smartsheet	Smartsheet is looking for an experienced Senior Data Scientist to help guide analyses, create predictive and prescriptive insights, and influence decisions. With thousands of subscribing organizations and millions of users there is lots of opportunity to make a meaningful impact and increase growth through analytics within Smartsheet. You are curious, have strong data science and machine learning skills and the ability to communicate key insights effectively. You will work primarily with Product, Marketing and Engineering and will be a part of Smartsheet's Business Intelligence team. In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work. Today, we deliver a leading cloud-based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes. This full-time position reports to the Data Science Manager and is based in Smartsheet’s corporate offices in Bellevue, WA, or remotely. Our team focuses on distributed decision making that rewards ownership, transparency, and collaboration. Learn more about our platform here: Smartsheet Overview Video You Will: Partner with Product, Marketing and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact Develop and implement advanced predictive and prescriptive models using machine learning algorithms to drive marketing and product decisions Understand our customer needs and design metrics to analyze how our customers are using product and optimize products and features Conduct experiments, causal studies and A/B tests to measure the impact of marketing and product Leverage data to understand product performance and to identify improvement opportunities Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations Effectively present analysis to teams and give data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions Think strategically on how to scale your work Identify areas for further investigation Drive a data culture within the Product, Marketing and Engineering teams You Have: Bachelor's degree and 5+ years of experience (or 7+ years of experience) Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems and experimental design Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis. Strong programming skills in Python or R Proficient in SQL and skilled in visualization tools (ex. Tableau) Strong track record of forming effective cross-functional partnerships Experience using data to meaningfully impact product, marketing strategy and execution Experience communicating analysis clearly to others Ability to research and learn new technologies, tools, and methodologies Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments Perks & Benefits: HSA, 100% employer-paid premiums, or buy-up medical/vision and dental coverage options for full-time employees Equity - Restricted Stock Units (RSUs) with all offers Lucrative Employee Stock Purchase Program (15% discount) 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay) Monthly stipend to support your work and productivity Flexible Time Away Program, plus Incidental Sick Leave Up to 24 weeks of Parental Leave Personal paid Volunteer Day to support our community Opportunities for professional growth and development including access to LinkedIn Learning online courses Company Funded Perks, including a counseling membership, primary care membership, local retail discounts, and your own personal Smartsheet account Teleworking options from any registered location in the U.S. (role specific) US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans US employees receive 12 paid holidays per year Smartsheet provides a reasonable range of compensation for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive bonus and RSU stock grant upon accepted offer. California & New York: $118,800-$172,800 All other US States: $110,000-$160,000 Equal Opportunity Employer: Smartsheet is an Equal Opportunity Employer committed to fostering an inclusive environment with the best employees. We provide employment opportunities without regard to any legally protected status in accordance with applicable laws in the US, UK, Germany, Costa Rica, and Australia. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. At Smartsheet, we strive to build an inclusive environment that encourages, supports, and celebrates the diverse voices of our team members who also represent the diverse needs of our customers. We’re looking for people who are driven, authentic, supportive, effective, and honest. You’re encouraged to apply even if your experience doesn’t precisely match our job description—if your career path has been nontraditional, that will set you apart. At Smartsheet, we welcome diverse perspectives and people who aren’t afraid to be innovative—join us! Our Candidate Privacy Notice describes how Smartsheet may process your personal data, including the use of a third party provider for application submissions. Apply Now
Data Scientist	1010Data	1010data values:â€ŻÂ Integrity: Doing the right things for the right reasonsÂ Agility: Adapting and thriving in a dynamic environmentâ€ŻÂ Teamwork: Combining our strengths to do amazing thingsâ€ŻÂ Passion: Channeling enthusiasm to drive excellenceÂ Creativity: Unleashing curiosity to defy the normâ€ŻÂ About the role:â€ŻÂ 1010data is looking for a Data Scientist to build internal and external data products to solve client-driven business problems.Â The Data Science team applies our curiosity and passion for data to create insights that help our clients make better decisions.Â We create timely and sophisticated analyses, build pipeline modules, deploy machine learning models, and implement new techniques to enhance 1010dataâ€™s products.Â Â Our modern tech stack builds pipelines using 1010dataâ€™s industry-leading big data platform and open-source tools such as Airflow, Spark, and Python to analyze billions of rows of data every day.Â In this role, you will work closely with data engineers, product leaders, and client-facing teams as you build new capabilities.Â Â What you will take on:â€ŻÂ Use your curiosity and passion for data to answer complex questions over real-world datasets comprised of billions of rowsÂ Conduct statistical analysis, natural language processing (NLP), and integration of massive datasets from multiple sources including exploratory analysis, identifying and correcting for bias, and answering client inquiriesÂ Conduct proof-of-concept studies to evaluate multiple competing models or forecasts to empirically justify your recommendations for actionÂ Learn and use 1010dataâ€™s industry-leading big data platform and Macro Language to build and deploy high performance data pipelinesÂ Â Communicate your findings, visualize results, and demonstrate your models effectively to broad, non-technical audiencesÂ Design, develop, deploy, and support production-critical pipelines and ML models using 1010data Insight Platform and open-source tools such as Airflow and SparkÂ You will be based in the US and will be comfortable working remotely with the Data Science, Data Quality, Dataâ€ŻEngineering,â€Żand Account Management teams Â This role is notâ€Żsponsorableâ€ŻÂ What you already have:â€ŻÂ Masterâ€™s or bachelor's degree in a quantitative or technical field such as Computer Science, Physics, Mathematics, Econometrics, or Engineering.Â PhD is a plus.Â Â 0-3 years professional experience conducting statistical analysis, building production data science models, and creating insights from data at large scaleÂ Curiosity, clarifying questions, a passion for learning new things, and perseverance in the face of uncertaintyÂ Â Ability to communicate clearly in meetings and written documents, consider options presented by others, and reach a balanced technical opinionâ€Żâ€Ż Understand and communicate the foundations of machine learning methods, their strengths, and their limitationsÂ Proficiency in writing software (Python preferred) to implement data science algorithms, data quality checks, cross-validation, and parameter tuningÂ Experience working with parallel processing frameworks like Spark and orchestration frameworks like AirflowÂ Proficiency in database and software engineering best practices such as query design, version control, unit testing, and deployment methodsÂ The expected base salary range for this position is from $70,000 -$100,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, geography, and where applicable, certifications obtained. Market and organizational factors are also considered. Â In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary annual performance bonus compensation. About 1010data:â€ŻÂ For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and market conditions and rapidly respond with highly targeted strategies. The 1010data Insights Platform combines market intelligence, data management, granular enterprise analytics, and collaboration capabilities to empower better business outcomes. More than 900 of the worldâ€™s foremost companiesâ€™ partner with 1010data to power smarter decisions.â€Żâ€ŻÂ You can find this on the Company page of 1010data atâ€Żhttps://1010data.com/company/â€Żâ€ŻÂ We are an equal opportunity employer and value diversity at our company. We do not discriminateâ€Żon the basis ofâ€Żrace, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.â€ŻÂ Â Â #LI-remote
Sr Data Scientist	1010Data	Senior Data Scientist Product - Data Science 1010data values: Integrity: Doing the right things for the right reasons Agility: Adapting and thriving in a dynamic environment Teamwork: Combining our strengths to do amazing things Passion: Channeling enthusiasm to drive excellence Creativity: Unleashing curiosity to defy the norm About the role: 1010data is looking for a Senior Data Scientist to build internal and external data products to solve client-driven business problems. The Data Science team applies our curiosity and passion for data to create insights that help our clients make better decisions. We create timely and sophisticated analyses, build pipeline modules, deploy machine learning models, and implement new techniques to enhance 1010data’s products. Our modern tech stack builds pipelines using 1010data’s industry-leading big data platform and open-source tools such as Airflow, Spark, and Python to analyze billions of rows of data every day. In this role, you will work closely with data engineers, product leaders, and client-facing teams as you build new capabilities. This role is not sponsorable currently or in the foreseeable future. What you will take on: Use your curiosity and passion for data to answer complex questions over real-world datasets comprised of billions of rows Contributing to our estimation of online consumer retail transactions in our Market Intelligence practice Independently conduct statistical analysis, natural language processing (NLP), and integration of massive datasets from multiple sources including exploratory analysis, identifying and correcting for bias, and answering client inquiries Conduct proof-of-concept studies to evaluate multiple competing models or forecasts to empirically justify your recommendations for action Learn and use 1010data’s industry-leading big data platform and Macro Language to build and deploy high performance data pipelines Communicate your findings, visualize results, and demonstrate your models effectively to broad, non-technical audiences Design, develop, deploy, and support production-critical pipelines and ML models using 1010data Insight Platform and open-source tools such as Airflow and Spark You will be based in the US and will be comfortable working remotely with the Data Science, Data Quality, Data Engineering, and Account Management teams What you already have: Master’s or bachelor's degree in a quantitative or technical field such as Computer Science, Physics, Mathematics, Econometrics, or Engineering. PhD is a plus. 3+ years professional experience conducting statistical analysis, building production data science models, and creating insights from data at large scale Curiosity, clarifying questions, a passion for learning new things, and perseverance in the face of uncertainty Ability to communicate clearly in meetings and written documents, consider options presented by others, and reach a balanced technical opinion Proficiency in selecting, implementing and communicating about machine learning methods Proficiency in writing software (Python preferred) to implement data science algorithms, data quality checks, cross-validation, and parameter tuning Experience working with parallel processing frameworks like Spark and orchestration frameworks like Airflow Proficiency in database and software engineering best practices such as query design, version control, unit testing, and deployment methods Exposure to Docker and Scala are a plus The expected base salary range for this position is from $130,000 - $145,000 annually. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, geography, and where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary annual performance bonus compensation. About 1010data: For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and market conditions and rapidly respond with highly targeted strategies. The 1010data Insights Platform combines market intelligence, data management, granular enterprise analytics, and collaboration capabilities to empower better business outcomes. More than 900 of the world’s foremost companies’ partner with 1010data to power smarter decisions. You can find this on the Company page of 1010data at https://1010data.com/company/ We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-remote
Data Scientist Product U S Only	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 Role We believe that data-driven technology is a critical part of solving the thorny, complex challenges of a broken system. We are looking for a product-minded Data Scientist with 2-to-3 years of professional experience (academic/internships alone will not qualify), someone who cares about clinical quality, impact, ownership and cross functional collaboration. You will work closely with Lyra’s Product, Engineering, and Operations team to enhance the Lyra platform to serve the needs of our providers and clients. Some of our product initiatives include facilitating access to care for eligible members, and enriching our suite of self-care options, just to name a few. *This Data Scientist role can be full-time in our Burlingame, CA headquarters, OR virtually - however, remote candidates must be currently located in the United States). Core Responsibilities: As a Data Scientist on this product-facing team, you will... 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. Translate data insights into recommendations on business strategy and product roadmaps. 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. Required Skillsets & Experience: 2-to-3 years of professional, quantitative data analysis experience with a preference for individuals who have experience in product analytics, and have partnered with engineering and product teams in prior roles. NOTE: While we do require a minimum of 2 years of professional (non-academic/non-internship) experience to qualify, this is not a Senior-level position. Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting. Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables, and a preference for candidates who have experience creating views. Solid 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. Experience developing comprehensive analyses using irregular data from disparate sources. Willing to do whatever it takes to clean messy data prior to deriving insights. Ability to deliver time-sensitive ad-hoc analyses requested by leadership. Excellent communication skills and experience collaborating across multiple functions Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences). Preferred Skillsets & Experience: Interest/prior experience in public health a plus. Experience with Tableau 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/ $114,000 - $157,000 a year The anticipated annual base salary range for this full-time position is $114,000 - $157,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: - Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) - Lyra for Lyrians; coaching and therapy services - Equity in the company through discretionary restricted stock units - Competitive time off with pay policies including vacation, sick days, and company holidays - Paid parental leave - 401K retirement benefits - Monthly tech stipend - We like to spread joy throughout the year with well-being perks and activities, surprise swag, free food and snack deliveries each month, regular community celebration…and more! We can’t wait to meet you. #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.
Senior Data Scientist Invoices	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 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. With support from the Invoices Data Science Lead, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. You will: Partner directly with the Invoices 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 insightsCoordinate and solve 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 so your expertise can be leveraged where it is most impactful Qualifications You have: 4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading 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) Nice to have: M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retentionFamiliarity with Marketing analytics and experimentation Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $152,100 - USD $185,900 Zone B: USD $144,500 - USD $176,700 Zone C: USD $136,900 - USD $167,300 Zone D: USD $129,300 - USD $158,100 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. US and Canada EEOC Statement 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. 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 Data Scientist Commerce Platform Inventory	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 experience. The goal of the Inventory team is to empower sellers to reliably balance supply & demand by accurately tracking and merchandising inventory across all channels and locations. As a member of the Inventory team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive platform experience. While reporting to the Commerce Platform Analytics lead, you will help lead the effort to help define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. You will: Partner directly with the Inventory 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 insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to partners and team leaders in verbal, visual, and written mediaPartner with the broader team to define 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 so your expertise can be leveraged where it is most impactful Qualifications You have: 4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading 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, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) Nice to have: M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $152,100 - USD $185,900 Zone B: USD $144,500 - USD $176,700 Zone C: USD $136,900 - USD $167,300 Zone D: USD $129,300 - USD $158,100 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. US and Canada EEOC Statement 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. 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 Data Scientist Fraud Risk	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 We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes and controls to root out high-risk fraudulent activity across the Square platform. You will also manage top level Risk KPIs, establish core operational metrics, formulate strategy and implement controls to detect and prevent fraud on the platform. Apart from working on fraud problems that pose a direct financial risk to our Sellers and to Square, this role will also focus on detecting and rooting out abuse of our customer messaging capabilities (e.g. email marketing, invoices, chat etc.) for the purpose of phishing, scams or spam. You will lead experiments to measure the effectiveness of our strategies. You will partner with product, engineering, risk operations/policy and sales teams to influence Squares global Risk road map and processes. You will define, set targets for and own key metrics around financial fraud and messaging abuse and be responsible for strategies to achieve the targets. You Will Diagnose problems and develop compelling, data-driven recommendationsDevelop and maintain multiple data pipelines and ETLsPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processesHave a chance to use machine learning tools to develop data-driven solutions.Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experienceDevelop executive presentations for Squares leadership Qualifications 5+ years of relevant experience post Bachelors degree (or Masters with 3+ years of relevant experience)Experience with SQL, Python and LookerExperience driving data-driven solutions and project-managing their implementationExperience answering unstructured questions and managing projects and tasks to a conclusionA passion for Square's missionExperience in risk, trust and safety, payments, or spam/phishing/scam prevention and detection is preferred but not a requirement for the role. Additional Information At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, social or health conditions, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. 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, based solely on the core competencies required of the role at hand, and without regard to any 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. 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.
Head Of Attribution Science	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 The Decision Science organization at Square helps our sellers and our business grow by empowering decision making with data. The team provides Square with a variety of critical information such as go-to-market channel attribution, investment ROI calculation, merchant value measurement, product behavior analytics, and funnel performance. We achieve this by building remarkable data infrastructure, best-in-class analytics, data science, and machine learning solutions. We are looking for a senior Data Science leader with deep expertise in data driven attribution (just like you!) to lead efforts in building Square’s next generation attribution system. This system will be used by the executive leadership team to make strategic go-to-market investment decisions that will shape Square's future. You will: Be our in-house expert in data driven attribution to fuel Square’s growth.Build from scratch a suite of data science and machine learning solutions that will make up the core of Square’s next generation attribution system.Partner with executive and senior management from Finance, Marketing, Sales and other go-to-market channels to refine our growth strategy and inform investment decisions with data.Partner with third-party data providers to close the data loop for full funnel attribution.Hire and develop a highly talented team of data scientists, data engineers, and machine learning engineers.Develop efficient processes to ensure the team operates with high velocity, ownership, and self-accountability. Qualifications Deep expertise in statistical learning methods for go-to-market attribution and a track record of successfully building from the ground up end-to-end data driven attribution systems which may include algorithmic multi-touch attribution (MTA) and marketing mix models (MMM).12+ years of data science and machine learning experience.5+ years of experience in people management with a track record of building high-performance teams and growing talent.Demonstrated experience collaborating with high-level stakeholders across areas such as Finance, Marketing and Sales.Strong ability to manage stakeholder relationships and foster cross-functional collaboration effectively.Outstanding communication skills, coupled with a proven aptitude for influencing and persuading key decision-makers. Even better: Solid understanding of the advertising and martech landscape, including future trends in the evolution of this spaceExperience working in tech or fintech companiesUnderstanding of the B2B landscapeAn advanced degree (M.S. or Ph.D.) in Statistics, Computer Science, Operations Research, or a related technical field Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $245,100 - USD $299,500 Zone B: USD $245,100 - USD $299,500 Zone C: USD $245,100 - USD $299,500 Zone D: USD $245,100 - USD $299,500 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. 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.
Data Scientist	Videoamp	VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday. We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it - people who challenge the status quo and embody our values. People who say “I’ll find a way” instead of saying “it can’t be done.” We are looking for a Data Scientist who will be responsible for shaping our company’s data strategy and innovating the $85B digital and linear television advertising market. You are passionate about all things data and tech and have extensive knowledge of the digital space. You are accomplished in the areas of creating new analyses and deriving business-changing insights, and you are ready to support the strategic objectives of a highly cross-functional organization. WHAT YOU’LL DO: Your work will have an outsized impact on tools we’re building, forecasting, planning, allocation, and audience behavior prediction Work with Pb-scale data sets representing the total US video and TV audiences You will build new and support scaling out existing models in support of audience segmentation You will work with the data-engineering team to produce ML pipelines and coordinate data models with other engineering teams. Building Data Models and managing machine learning pipelines WHAT TO BRING: 2+ years of experience with: A scripting language like Python. Rigorous statistics background in applied settings Applying SQL for projects with measurable outcomes Ph.D. or MS with relevant experience A master of all trades mentality and an ability to embrace new challenges regularly Eager and energized to work with some of the latest open-source technologies PERKS Unlimited paid time off each year Company sponsored health, dental and vision benefits for you and your dependents Access to state-of-the-art fitness classes and personal trainers to promote your well-being Partnership with DoorDash for meal deliveries Employee Advisory Groups / Proactive Social Groups Pet Care Savings 401k Plan Referral Bonus Progressive approach to paid parental leave Epic personal and professional growth opportunities ABOUT VideoAmp is an advertising measurement and optimization platform increasing the value of advertising by redefining how media is valued, bought and sold. Our platform automates advertising workflows, deduplicates audiences across traditional TV, streaming video, digital media and walled gardens and connects media exposures to an advertiser’s sales. By unlocking new value for the entire ecosystem, our platform allows the world’s largest advertisers, agencies and publishers to align on VideoAmp’s independent measurement as a new media currency to transact against.We are transforming a 100-year-old industry by powering a more effective three-way value exchange that results in increasing the return on media investment for advertisers, increasing revenue for publishers and providing a better viewing experience for consumers. Come and join us! Minimum base salary of $124,000 + Bonus/Commissions + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience. #LI-Remote
Senior Data Scientist Product	Earnin	ABOUT EARNIN: As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to $15 billion in earnings. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY: This is a high impact role with a lot of excitement. You will have the opportunity to turn information into insights through analytics, data science, experimentation and help the company achieve tremendous growth. WHAT YOU'LL DO: Work closely with product and engineering team to define key metrics and answer important questions Conduct analysis and opportunity sizing to find opportunities of improvement and turn hypothesis into actionable and well-designed experiments(A/B Testing) Identify KPIs and develop dashboards to monitor the metrics and show where we are now, whether we have achieved our goals and why Communicate results and influence stakeholders, be the trusted thought partner for the product and engineering team WHAT WE'RE LOOKING FOR: You have strong interpersonal skills and are able to work cross-functionally in the team environments You have 2+ years experience in product analytics You are an expert with SQL and experienced with Python or R Ability to think creatively and thrive in a fast-paced, dynamic, often ambiguous work environment Strategic thinker who can tie the micro and macro view together Experience with Periscope, Databricks, Amplitude and/or Optimizely are a plus Experience creating and tuning ML models is a plus At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience, but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team. #LI-Remote
Senior Data Scientist Ml And Algorithms	Alltrails	Senior Data Scientist, ML and Algorithms 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: Designing and implementing algorithms that power everything from the way we optimize our content to the way we personalize experiences Designing machine learning models that will be pushed into production systems, at-scale Identifying unique ways in which data can be transformed into solutions that directly 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, artificial intelligence, mathematics, or equivalent practical experience Proficiency with both Python and SQL An understanding of both simple and complex machine learning and artificial intelligence concepts (e.g. clustering, regression, classification, deep learning, transformers, diffusion) Professional experience working in least one of the following areas: vector embeddings, deep learning, natural language processing, computer vision, generative AI (e.g. LLMs, transformers), personalization, route optimization, geospatial trajectories (GPS / GIS) Experience with the end-to-end machine learning lifecycle (data cleaning, feature extraction, training/testing, model evaluation, optimization, deployment, etc.) Experience in collaborating with engineers in designing models that scale to production-level request volumes Experience working collaboratively on shared codebases using Git Experience in iterative exploratory notebook development (Jupyter, Hex, etc.) Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks Regularly enjoys 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: Querying and manipulating data on the scale of TBs+ Experience with transformation tools like dbt or Dataform Experience with best practices in ML ops and software development lifecycles What We Offer: 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. Annual continuing education stipend. Discounts on subscriptions and merchandise for you and your friends & family. An authentic investment in you as a human being and your career as a professional. $160,000 - $180,000 a year A successful candidate’s starting salary will be determined based on various factors such as skills, experience, training and credentials, as well as other business purposes or needs. It is not typical for a candidate to be hired at or near the top of the range of their role and compensation decisions are dependent on the factors and circumstances of each case. 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.
Bioinformatics Scientist	Seed Health	Us Seed Health is a microbiome science company pioneering innovations in probiotics and living medicines to impact human and planetary health. Our scientific board comprises leading scientists, researchers, and clinicians across the fields of microbiology, immunology, bioinformatics, dermatology, oral health, vaginal health, gastroenterology, mental health, pediatrics, and nutrition. Consumer innovations are commercialized under Seed® with a mission to bring much-needed precision, efficacy, education and perspective-shifting science communication to the global category of probiotics. Our efforts to set a new standard in probiotics, microbial innovation and translational communication have earned various accolades, including Fast Company's World Changing Ideas in 2019, 2020, 2021, and 2022, and TIME's Best Inventions 2018. We focus on categories where microbial innovations and microbiome-related products will disrupt and capture global market share in the coming years (e.g. oral care, skin care, infant health, etc.). We have built a strong foundation with breakthrough research and strong intellectual property, and believe there is a substantial opportunity to emerge as an innovative product line, backed by the most rigorous science. Who You Are You are passionate about diving into the world of microbiome research and possess a strong background in bioinformatics, genomics, and cloud computing. In your current role, you are responsible for building, running, and maintaining cutting-edge pipelines for sparse, multivariable, high-dimensional (such as metagenomics and potentially microbiome metabolomics) on cloud infrastructure like AWS. You have experience with creating automated workflows with provenance, ensuring accuracy, and efficiency in your work. Ideally, you have familiarity with clinical trial or human cohort datasets, including metadata, regulatory compliance, and cohort designs. Teachers and mentors would describe you as a detail-oriented, knowledgeable individual who can quickly adapt to new technologies and methodologies in bioinformatics and genomics research. Your ability to communicate effectively across diverse teams with varying expertise allows you to seamlessly collaborate with colleagues, such as the director of bioinformatics, microbiome statisticians, and the larger discovery and R&D team. You consistently deliver high-quality work on time and are always eager to learn and implement new techniques to address your team's needs. You thrive in collaborative, dynamic, and fast-paced environments, where you work closely with a multidisciplinary team of scientists and researchers. You proactively explore new tools and techniques to optimize workflows, automate processes, and enhance the analysis of microbiome data. Your communication skills allow you to effectively convey complex bioinformatics concepts to team members and partners with diverse backgrounds, fostering collaboration and the exchange of knowledge. You are eager to take on new challenges and contribute to the success of a data-driven, human-centric company. What You’ll Do Deploy and use bioinformatic processing pipelines for the integration and analysis of human clinical and microbiome (metagenomic) data, including short read sequencing data.Develop, optimize, and maintain cloud-based infrastructure for running microbiome-specific bioinformatics pipelines (e.g., metagenomics, metabolomics) on cloud compute platforms (e.g., AWS), following best practices for automation, reproducibility, and provenance tracking.Collaborate with the Director of Bioinformatics, the Microbiome Biostatistician, and the larger Discovery and RnD team to identify data analysis needs and execute on them, ensuring accurate and efficient data wrangling, data science, and exploratory microbiome analysis.Use bioinformatics tools for precision pre/probiotic design and microbial comparative genomics.Implement and apply machine learning techniques and advanced multivariate statistical methods for responder/non-responder analysis, nested clinical trial design, and other relevant tasks.Contribute to the development of novel microbial therapies through the analysis of clinical trial data.Participate in the creation of clinical trial analysis documentation, academic papers, and other relevant materials.Integrate and analyze human microbiome data from various sources and body sites, including clinical trials or human cohortsContinuously learn and implement new bioinformatics and genomics methodologies to address your team's needsCommunicate bioinformatics analysis results effectively with academic and industry partners around the globe. Required Experience PhD + Postdoc or industry experience in Bioinformatics, Computational Biology, or a related quantitative field.Experience in the analysis of high-dimensional (multi-omics) datasets and associated multivariate statistics or modeling.Solid knowledge of bioinformatics workflows in a Unix/Linux environment.Proficiency in at least one programming language used in bioinformatics/data analysis (e.g., R, Python).Ability to work in dynamic and fast-paced environments with tight deadlines.Ability to learn and adapt workflows to in-house as well as novel techniques for microbiome characterization and analysisExperience using cloud computing / HPC platforms (e.g., AWS, GCP) for bioinformatics workflows and data analysis. What we'd like to see in addition Hands-on experience working with metagenomic shotgun short-read datasets (deeply sequenced; 50M+ read pairs).Familiarity with popular microbiome pipelines such as Biobakery, SHOGUN, Pathoscope, etc.Knowledge of machine learning techniques and their applications in bioinformatics.Deep knowledge of algorithms and computer science concepts as applicable to the microbiomeStrong communication and collaboration skills, with the ability to explain complex concepts to a diverse audience. Seed is an equal opportunity employer. For us, diversity isn’t an HR metric—it is the result of billions of years of evolution; it’s our nature. To serve our community inclusively means to cultivate a relative abundance of perspectives, backgrounds, geographies, and experiences. Like in biology, each role and its function is key to the productivity, sustainability, and resilience of our ecosystem. Seed Health does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or any employee of the Seed team. All candidates must be submitted via our Applicant Tracking System by approved Seed Health vendors who have been requested to make a submission by our Talent Acquisition team for a specific job opening. Apply Now
Associate Research Scientist	Curriculum Associates	Description Curriculum Associates is a rapidly growing educational technology and publishing company committed to making classrooms better places for teachers and students. We are seeking a talented individual with strong research skills to join our Research team as an Associate Research Scientist. Job Description: In this role, you’ll design and execute rigorous research projects focused on CA’s assessment and instruction products, which are used by over 10 million students throughout the United States. By applying your analytic mindset, technical skills, and a wide variety of statistical methodologies to one of the richest education datasets in the country, you will help answer pressing research questions that illustrate the impact of our educational programs on student learning and provide research and analytics to support state and local decision makers. This opportunity is right for you if: You are passionate about K–12 education and want to make a positive impact for students and teachers You are interested in conducting large-scale, and sometimes high profile, research that supports educators and leads to improvement in products that serve students and teachersYou enjoy the challenge of successfully wrangling large, complex data setsYou can independently handle quantitative analyses and communicate the results clearly and succinctly to non-technical audiencesYou are a self-directed worker who will thrive in a remote working environment The impact you’ll have: You’ll contribute to every phase of the research processYou’ll design and execute studies that answer actionable research questions about CA’s instruction solutions using a variety of statistical methodologiesYou’ll draft documentation for internal and external audiences, including process documentation, analysis specifications, and reporting of resultsYou will have opportunities to present research findings to diverse audiences, including internal stakeholder meetings and professional conferencesYou’ll contribute to quality control processes to ensure the accuracy of data, analyses, and findings of research projects Who we’re looking for: Ph.D. in education research, public policy, or other quantitative social science discipline with 0-3 years of experience (candidates at the dissertation phase of their graduate program will also be considered)Experience working on education research and/or evaluation projectsKnowledge of hierarchical modeling, clustering or other data reduction techniques, and other complex statistical methodsDemonstrated ability to efficiently use various software to manipulate data and conduct quantitative analyses (preferably SAS or R)Excellent written and verbal communication skillsIndependent worker and collaborative colleague who team members value We’d also love to see, though not required: Demonstrated experience in digital learning, reading, and/or mathematics at the K-8 levelExperience using SQL for querying from large, complex databases Location: This is a remote position which will work collaboratively with a team of other researchers, most of whom are also working remotely. Curriculum Associates is a socially responsible, rapidly growing educational company headquartered northwest of Boston, MA. Travel expectations: Less than 10% of total time. Travel for this position will likely include one semi-annual team meeting, one semi-annual advisory committee meeting, and travel to national conferences when proposals have been accepted. Pay range: This role’s range is $69,2500-$130,500. The wage range for this role takes into account the wide range of factors that Curriculum Associates considers in making compensation decisions based on our Compensation Philosophy. Actual base pay within that range will vary based upon several factors including, but not limited to, prior experience and relevant skill sets. At Curriculum Associates, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances for each case. This role is also eligible to participate in the company bonus plan. The Company recognizes that minimum wage varies by location and will ensure all compensation decisions comply with applicable state and local laws. Benefits: Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees can enroll in our company’s 401k plan and receive an employer match. Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits. Please note: A cover letter is required for consideration.
Senior Manager Capacity Forecasting	Gopuff	Back to Careers We are looking for someone to improve capacity planning across the complex and growing site delivery network. The Gopuff Labor planning team is tasked with transforming the way the network forecasts MFC capacity, optimizing labor scheduling, and building products to scale and automate overall labor management. Major partners include S&OP, Planning, Transportation, Last Mile Tech, Operations and Business Expansion teams to develop a strategic approach to create and scale labor planning. The Senior Manager, capacity forecasting will oversee site capacity management across the network. You will build partnerships with site operators to ensure customer service risk is reduced in both the short and medium term. You Will: Collaborate with major partners include S&OP, Planning, Transportation, Last Mile Tech, Operations and Business Expansion teams to develop a strategic approach to create and scale labor planning.Oversee site capacity management across the network. You will build partnerships with site operators to ensure customer service risk is reduced in both the short and medium term.Oversee workday integration and overall product management of OA schedule optimization.Develop scalable strategies and organizational structure to support the network.Ensure the customer experience is continuously protected, while minimizing fulfillment risk and mitigation costs across multiple sites.Plan for flow inputs for multiple process paths to align operational processing capacity to order volume. Qualifications: 5+ years in the supply chain, labor management, and capacity management.Demonstrated experience to analyze data to guide root cause analysis and process improvement.Experience building operations-focused teams with a data and analytics background.Experience leading large, strategic programs with many partners. Preferred Qualifications: Bachelors in Finance, Operations, Logistics or related field.Experience in fulfillment operational environments.Fluency in SQL, Looker, or other BI Platforms. Compensation Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.Remote - Salary Range (varies based on a cost of labor index for geographic area within United States): USD $102,600 - USD $163,000 #LI-Remote Benefits We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.* We also offer: -Gopuff employee discount -Career growth opportunities -Internal rewards programs -Annual performance appraisal and bonus -Equity program Not applicable for contractors or temporary employees. At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes. And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world. Like what you’re hearing? Then join us on Team Blue. Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. Apply for this job
Senior Data Scientist	Whatnot	🚀 Whatnot Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, whether working remotely or from one of our offices. We are building a team that has experience from top tech, retail and payments platforms in the world. We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others. And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas. 📈 Opportunity Size Retail disruption is one of the largest opportunities in the startup space today. Livestream shopping is taking off around the world – a $300B GMV market in China that’s grown 100% YoY. Whatnot is bringing it to the world through a community-first approach, starting in the U.S. where retail is a $5T market opportunity! 👋 About You We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions. You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning. In addition to 6+ years of experience in the Data Analytics field, you should have: Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT Expert in using SQL for data analysis, reporting, and dashboarding Experience with a scripting language such as Python or R is a plus Aptitude and experience in applied statistical modeling and machine learning techniques Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks 💻 Role Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools Build actionable KPIs, create production-quality dashboards and notebooks to convey insights Define and advance best practices within an experiment-driven culture Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends 🎁 Benefits Competitive base salary and stock options Unlimited Vacation Policy and Company-wide Holidays (including a spring and winter break) Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical Dental and Vision sponsored 100% by Whatnot for employees and dependents Work From Home Support Laptop provided by Whatnot and home office setup allowance $450 work-from-anywhere quarterly allowance for cell phone and internet Care benefits $1,350 quarterly allowance on food $1,500 quarterly allowance for wellness 16 weeks Paid Parental Leave and gradual return to work $5,000 annual allowance towards Childcare $20,000 lifetime benefit for family planning, such as adoption or fertility expenses Professional Development $2,000 annual benefit to invest in your professional development 401k offering for Traditional and Roth accounts provided by Betterment Employer matching contributions of 100% of up to 4% of contributions on base salary 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Director Of Data Science	Humana	Description The Director, Data Science uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Director, Data Science requires an in-depth understanding of how organization capabilities interrelate across the function or segment. Responsibilities We are seeking a Director of Data Science to lead our data science product team in creating innovative clinical pharmacy and experiential products. This role will support multiple functions and VPs within the organization and will be accountable for achieving value targets, developing and executing on strategy, and identifying and prioritizing potential products to develop. As part of a PBM with mail Read more about this job
Senior Data Scientist	Humana	Description The Senior Data Scientist uses open-source and proprietary programming languages, business analytic skills, and technology to transform high volumes of complex data and infrastructure into advanced solutions in support of healthcare research initiatives. The Senior Data Scientist’s work assignments involve issues of diverse scope and complexity ranging from moderate to substantial, where the analysis of situations or data requires an in-depth evaluation of variable factors. Responsibilities The Senior Data Scientist develops, maintains, and collects data sets for analysis and research. This individual also has the following responsibilities: Supports the maintenance and quality management of monthly ETLs that refresh HHR’s limited and de-identified datasets. Conducts Read more about this job
Sr Health Economics And Outcomes Researcher	Included Health	About the role: The Sr. Health Economics and Outcomes Researcher will lead the technical execution of research studies as part of the newly created Health Economics and Outcomes Research team within Included Health. Included Health is uniquely positioned to drive improved health outcomes through its novel combination of financial, administrative, care navigation, and care delivery capabilities. The team is responsible for conducting research and disseminating new insights into the broader healthcare knowledge base through peer-reviewed literature. The research will encompass a wide array of analyses and evaluations across many products and services, including Virtual Care (tele-urgent, specialty/Expert Medical Opinion), Navigation and Behavioral Health. We have a vast amount of longitudinal data sets including, but not limited to, enrollment, claims, second opinion services, provider recommendations, member-reported outcomes, and clinical notes. Data scale ranges from small data sets that fit on a single laptop to large multi-terabyte clinical information in distributed database systems. We are looking for an experienced quantitative researcher with health services/population health experience to serve as the technical lead on an array of research studies. We are especially interested in researchers with advanced training in statistical and economic approaches such as a PhD or MS who have conducted research using healthcare claims and related data sets. This position sits in our Health Strategy and Insights department and reports to the Included Health Senior Director of Health Economics and Outcomes Research. Responsibilities: Lead the development and execution of advanced empirical methodologies that demonstrate the impact and value of navigation, virtual care and new models of delivery for members Work side-by-side with programmers and data analysts to build research data sets that align with study specifications and may include claims, digital health utilization, member-reported outcomes, and member call data Engage with internal subject matter experts to intimately understand Included Health product or service of interest, clarify study objectives and hypotheses, and clarify data availability and definitions Collaborate with internal stakeholders and external partners on study design and execution Meaningfully contribute to technical writing of study Present results both internally and externally to technical and non-technical audiences Qualifications: 5+ years of post-graduate experience in health services research, statistics, economics, or related field in academia or industry PhD in health-related field (economics, health services research, public health, etc.) or Masters Degree such as MS Substantial experience analyzing health care claims (e.g. commercial, Medicare or Medicaid) and other related datasets to execute a research plan Demonstrated understanding and thorough experience successfully using an array of quantitative research methods to evaluate the impact of health care products, services, or policies Advanced knowledge navigating and joining across multiple complex data sets using relational databases (examples include SQL, Pandas, R, SAS, STATA) Excellent verbal communications, including the ability to clearly and concisely articulate complex analytic concepts to both technical and non-technical audiences Motivated to contribute to publications that aligns with the spirit of Included Health’s mission to raise the standard of healthcare for everyone Ability to deal with ambiguity Ability to work closely alongside programmers and data analysts to conduct studies Prior digital health industry experience (Preferred) Contribution to health services/population health peer-reviewed literature (Preferred) About Included Health Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com. ----- Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Health Economics And Outcomes Researcher	Included Health	About the role: The Health Economics and Outcomes Researcher will be a key contributor to the newly established Included Health Health Economics and Outcomes Research team. Included Health is uniquely positioned to drive improved health outcomes through its novel combination of financial, administrative, care navigation, and care delivery capabilities. The team is responsible for conducting research and disseminating new insights into the broader healthcare knowledge base through peer-reviewed literature. The research will encompass a wide array of analyses and evaluations across many products and services, including Virtual Care (tele-urgent, specialty/Expert Medical Opinion), Navigation and Behavioral Health. We have a vast amount of longitudinal data sets including, but not limited to, enrollment, claims, second opinion services, provider recommendations, member-reported outcomes, and clinical notes. Data scale ranges from small data sets that fit on a single laptop to large multi-terabyte clinical information in distributed database systems. We are looking for a motivated, intellectually curious, quantitative researcher with experience digging into a variety of healthcare data to construct reliable, documented data sets necessary to support robust analyses. The ideal candidate has strong interpersonal skills, is mission driven and looking for a chance to use their quantitative skill set to identify opportunities and successes that support our mission to raise the standard of healthcare for everyone. This position sits in our Health Strategy and Insights department and reports to the Senior Director of Health Economics and Outcomes Research. Responsibilities: Independently construct valid and reliable research datasets required for analyses and evaluations that demonstrate the impact and value of navigation, virtual care and new models of delivery for members/patients Support Sr. Health Economics and Outcomes Researcher in executing the empirical methodologies for research studies Partner with data and product subject matter experts to thoroughly understand the limitations and possibilities of underlying data sources Thoroughly document logic, decisions, and definitions of research datasets Contribute to technical writing of study and presentation materials Be an active member in the growing research community at Included Health, working with clinical, data science, and analytic partners to strengthen our research voice Contribute to Included Health data quality, documentation and governance Qualifications: 4+ years of experience manipulating health care data (e.g., claims, electronic health records, patient survey) and other related data sets to execute a research plan Degree should be in a technical discipline such as Statistics, Math, Computer Science, Engineering, Physics, or quantitative social science Ability to identify, quantify, and explain intricacies of the data; proactively anticipate and address questions that may be raised about data validity and reliability from stakeholders Experience navigating and joining across multiple complex data sets using relational databases (examples include SQL, Pandas, R, SAS, STATA) Comfort with ambiguity and defining an approach to a given question or problem Experience working with various types of data including (but not limited to) medical/Rx claims data, eligibility data, and survey data Motivated to contribute to publications that aligns with the spirit of Included Health’s mission to raise the standard of healthcare for everyone Strong attention to detail Eagerness to create new multi-faceted research datasets and learn new analytical approaches Ability to work in cross-functional teams alongside researchers, clinicians, and data analysts to conduct longitudinal studies Prior digital health industry experience (Preferred) Experience conducting statistical analyses using Python, SAS, STATA, or R (Strongly Preferred) About Included Health Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com. ----- Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Senior Data Scientist Enterprise Marketing	Atlassian	Working at Atlassian Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing and sales organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit! Atlassian is hiring an experienced data scientist for our Enterprise go-to-market team. The Enterprise GTM team is a cross-functional group that drives go-to-market programs and strategies to help Atlassian products unleash the potential of every Enterprise team. Our team focuses on the critical moments within the Enterprise team’s discovery of and journey with Atlassian products. We uncover and drive data-informed strategies and tactics across Atlassian’s go-to-market organization. In this role you'll get to: Become the subject matter expert in Atlassian’s top of the funnel strategy for both Enterprise and SMB products. Partner with Marketing Leadership to shape marketing strategy driven by data.Apply various data science methods to understand the most important aspects of our Enterprise GTM experience and buyer journey.Coordinate disparate facts and findings into powerful narratives that have the broadest possible application within Atlassian.Accelerate the growth of our unique product-led Enterprise strategy by partnering across Sales Operations, Marketing, and Business Systems to improve how we understand and manage success.Evangelize evidence-based decision making by partnering with key decision makers and senior go-to-market leadership.Identify and drive improvements to the execution of the full Analytics & Data Science team through standardization of process, authoring new innovative practices, mentorship and cultivation of new expertise.Join a growing team of analysts and play an active role in team collaboration and culture. On the first day we'll expect you to have: 5-8 years of analytics experience either in technology, engineering, consulting or relative work experience. Experience within B2B marketing, growth, or sales analytics working with a field sales team.You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and clearly documented code.You are proficient in at least one programming language (e.g. Python, R) as well as a visualization & business intelligence platform (e.g. Tableau, Looker, Mode)You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.You use data to drive go-to-market teams to achieve ambitious goals and influencing company-level outcomes. Experience as a technical lead or manager a plus.You use excellent judgment and sharp business and product instincts that allow you to prioritize. It's great, but not required, if you have: Experience working in a global environment with remote teamsExperience across a broad set of statistical and machine learning methods to build descriptive and predictive modelsExperience in schema design and dimensional data modeling and building data pipelinesExperience with operational tools and systems such as Marketo, Salesforce, or Segment
Data Scientist Product Analytics Confluence	Atlassian	Working at Atlassian Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity! Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about its customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company? We’d love you to join us! We are looking for a Data Scientist to join our Product Analytics team. We’re seeking someone with strong business instincts, creativity, and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers. In this role, you'll get to: Collaborate with analytics and product team to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product roadmapDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture and understand the impact of our product strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers, and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and the creation of self-service tools, to make a lasting change in how your partners use data to make decisions On the first day, we'll expect you to have: Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explain complex concepts to diverse audiences, and craft compelling storiesExpertise in data manipulation and statistical programming languages (e.g. SQL, R), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualization tool (e.g. Tableau)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science) It's a bonus, but not required if you have: An understanding of the SaaS development, business model, and metricsExperience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math, or Statistics
Senior Data Scientist Product Intelligence	Zoom	Work Styles at Zoom In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Senior Data Scientist, Product Intelligence FULL TIME, US-REMOTE The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide. This role will be part of the Product Intelligence team and will be working closely with the Carrier Platform product team. The Carrier Platform for Zoom provides a foundation of global, reliable, compliant PSTN interconnection services at scale. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The ideal candidate will have experience measuring product impact using causal inference and A/B testing. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us! Responsibilities Size potential impact of new products or features to impact the Product roadmap. Partner with Product to define success metrics that quantify the performance of the product and its impact on the business. Analyze usage and behavioral data and build data models that enable insights and power dashboards. Apply statistical methods, such as causal inference or A/B testing, to quantify the business impact of new features. Partner with cross-functional teams to scope, prioritize, lead and drive data science initiatives to completion. Identify new opportunities and influence strategic decision-making across the organization. Partner closely with Product and Engineering to drive product direction and decision-making. Mentor and coach junior team members. Qualifications Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math Minimum of 6+ years (4+ with advanced degree) experience working in an analytical role Strong communication skills, both written and verbal; able to translate ambiguous, unstructured business problems into actionable analyses Advanced SQL ability Proficient with Python and statistical libraries such as scikit-learn, pandas, etc Strategic thinker who can tie the micro and macro view together Experience influencing product strategy through statistical analyses and data story-telling Previous experience working with a carrier or telecom platform is a bonus Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected]. Colorado Salary Range or On Target Earnings: Minimum: $116,820.00 USD Maximum : $216,090.00 USD here In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value. Information about Zoom’s benefits is here. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in other locations. We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected]. Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law. Explore Zoom: Hear from our leadership team Browse Awards and Employee Reviews on Comparably Visit our Blog Zoom with us! Find us on social at the links below and on Instagram View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site. #LI-Remote
Data Scientist Zoom Phone	Zoom	Work Styles at Zoom In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Data Scientist, Zoom Phone FULL TIME/ REMOTE - US The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide. This role will be part of the Product Intelligence team and will be working closely with the Zoom Phone product team. Zoom Phone is a feature-rich cloud phone system with inbound/outbound calling through the public switched telephone network (PSTN) with local PSTN service available in 45+ countries and expanded coverage available through a bring-your-own carrier offering. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us! Responsibilities Size potential impact of new products or features to impact the Product roadmap. Partner with Product to define success metrics that quantify the performance of the product and its impact on the business. Analyze usage and behavioral data using statistical techniques and build data models that enable insights and power dashboards. Work cross-functionally to solve business problems by delivering actionable insights. Partner closely with Product and Engineering to drive product direction and decision-making. Qualifications Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math Minimum of 4+ years (2+ with advanced degree) experience working in an analytical role Strong communication skills, both written and verbal Proficient with SQL Experience with Python and statistical libraries such as scikit-learn, pandas, etc Experience influencing product strategy through statistical analyses and data story-telling Previous experience working with a phone or telecommunications product is a bonus Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. #LI-REMOTE We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected]. Colorado Salary Range or On Target Earnings: Minimum: $97,920.00 USD Maximum : $181,170.00 USD here In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value. Information about Zoom’s benefits is here. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in other locations. We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected]. Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law. Explore Zoom: Hear from our leadership team Browse Awards and Employee Reviews on Comparably Visit our Blog Zoom with us! Find us on social at the links below and on Instagram View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site. #LI-Remote
Senior Data Scientist Machine Learning Platform Motion Planning	Motional	Motional’s ML team is specialized in research as well as deployment of Machine Learning and Classical Methods. We implement, test and deploy deep neural networks, algorithms, and software to impact different parts of an autonomous vehicle (AV) software stack. In order to continuously improve the performance of all our models, we constructed an automated loop to monitor and mine for model’s failure cases, extend training datasets, adapt the models, and automatically improve the models’ performance. And all of this is happening at log ingest! Read more about how our continuous learning framework works: Continuous Learning Framework Scenario Mining Motional's Machine Learning team has produced ground breaking advancements in the autonomous vehicle industry including nuPlan (https://arxiv.org/abs/2106.11810), nuScenes (https://www.nuscenes.org), PointPillars (https://arxiv.org/abs/1812.05784), and PointPainting (http://arxiv.org/abs/1911.10150) What You'll Do: Analyze data distributions to encountered problematic scenes for models focused on prediction, perception and planning Create models to automatically mine for model-specific problematic scenes Automate mining, re-training, and error analysis workflows. Create dashboard and metrics to evaluate performance of ML models and its influence to the AV performance What You'll Bring: 4+ years of software development and data analysis experience Python development experience Statistical data analysis experience Experience in handling large amount of data Model training, and design experience Experience with PyTorch or other deep learning frameworks Passion about self-driving technology and its potential impact on the world Bonus (not required): Experience in C++ deployment Experience designing, training, analyzing, and deploying neural networks for at least one of the following applications: Motion Planning, Motion prediction, Behavioral prediction, Perception. Knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods. ______________________________________________________________________ (Colorado only) Minimum salary of $172,020/year + bonus + equity + benefits Note: Disclosure as required by sb19-085(8-5-20) Company:
Data Scientist Ii	Caterpillar	Career Area: Information Analytics Job Description: Your Work Shapes the World Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe. When you join Caterpillar, you are joining a team of makers, innovators and doers. We are the people who roll up our sleeves and do the work to build a better world. We don’t just talk about progress and innovation. We make it happen. And we are proud of that because it helps our customers build and power the world we live in – the roads, hospitals, homes and infrastructure. Without a dedicated workforce Caterpillar could not effectively meet our customer’s needs. Join us. Description: A Data Scientist within Internal Auditing & Advisory Services (IAAS) is challenged with identifying risk through analytic tools and processes. You will work closely with audit teams comprised of a Project Manager and Auditor-In-Charge to create data driven objectives to assess and identify potential risk, such as inefficient processes or weak controls. Involved from start to finish, you will be responsible for identifying data sources, securely transferring data, developing and executing analytics, and communicating results to the audit team and business partners. You will typically support the engagement as an auditor, leveraging your analytical results and documenting the control environment. You will conduct 8-12 analytics projects annually, spanning a wide variety of processes and business units across the corporation. A Data Scientist within IAAS is a 2-3 year position that serves as a unique opportunity to learn about Caterpillar, to gain exposure and interact with senior leaders across the company, and to develop a risks and controls mindset that will be beneficial throughout your career. IAAS leadership is committed to helping you develop the skills you need to achieve your career goals. Job Duties: Research in-scope business risks and associated business processes Gain understanding of relevant systems and underlying data Design data-driven objectives to assess risks and controls Use analytical tools and scripts to execute objectives Communicate results and recommendations to audit teams and auditee Occasionally perform as a staff auditor during fieldwork phase Work independently to Identify, design, and implement internal process improvements Basic Qualifications: Bachelor’s degree in a technology or quantitative field Understanding of relational databases and SQL Top candidates will also have: Strong communication skills, both verbal and written Ability and desire to learn quickly Exposure to Caterpillar ERP and IT systems Programming experience (e.g., C#, Java, Python, R, etc.) Excellent organizational and planning skills Data Visualization experience (Tableau, Power BI, etc.) Experience with ETL (Extract, Transform, and Load) design Risk and controls experience Demonstrate intellectual curiosity Additional Information: This position would ideally be located in Peoria, IL; Deerfield, IL; however we are open to considering remote candidates Domestic relocation is available for those who qualify This position requires up to 15% travel Employee benefit details: Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just a salary, because we value your performance. We offer a total rewards package that provides day one benefits [medical, dental, vision, RX, and 401(k)] along with the potential of an annual bonus. Additional benefits include paid vacation days and paid holidays (prorated based upon hire date). Final details: Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.Caterpillar.com/Careers #LI-Remote #LI EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply. Not ready to apply? Submit your information to our Talent Network here .
Data Scientist Remanufacturing	Caterpillar	Career Area: Information Analytics Job Description: At Caterpillar, we're working to help our customers build a better world. We wouldn’t be the Caterpillar we are today without the exceptionally talented, bright and driven people who get the job done. This is your chance to help us make progress possible around the world – for our customers, for growing communities and for every member of our team. We are looking for a dynamic, organized self-starter to join our Caterpillar Reman Division as a Data Scientist! Caterpillar Remanufacturing Analytics We’re committed to our customers, who build a better world with our products, services, and solutions. We understand and show the value of why they should always choose us. We’re exploring new ideas and opportunities – innovating to discover the breakthroughs necessary for tomorrow’s growth. And we are one team – creating and delivering world-class components and solutions superior to the competition. As a Data Scientist, you will support Caterpillar Reman Team by utilizing the latest in Data Analytics technologies, such as Python, Azure CICD Pipelines, Amazon Web Services (AWS), Kedro, and Power BI to develop a unique, robust and sustainable data solution. This will include, Machine Learning, Export Transform and Load operations (ETLs), and dashboarding. This position will be utilizing Agile Scrum Framework to execute quickly. In this position you will be required to have/develop a deep understanding of both the business principles of Caterpillar Reman and technical capabilities of our continuously evolving analytics process. The interaction between these two principles is where our team will enable the Caterpillar Reman business to lead the industry in data driven decision making and industry leading growth. This position provides a unique opportunity to interact with all aspect of the Caterpillar Reman Order to Delivery business and its support groups while developing and utilizing our technical process for all aspect of data driven decision making. Job Duties/Responsibilities may include but are not limited to: Responsible for providing business and system support to Caterpillar Reman business partners through business research and code development. Following key technical standards when implementing a new process allow for sustainable integration into the team. Personal development within the Reman Business process and technical skills to continuously improve our process and value. Execute projects in a meticulous and timely manner. Create/Improve reporting tools on various platforms to enable leadership to effectively monitor dealer performance, including Power BI. Communicate with Customers to understand project scope and to develop appropriate solutions Derive solutions utilizing Reman Analytics’ Python process which includes Kedro Framework, Azure DevOps, Docker, AWS, Snowflake, and Power Bi. Active participate in Agile and Adhoc project planning and project execution activities. Participate in Code Review, Knowledge Shares, and Project Showcases. Documentation of project details and solutions. Basic Qualifications: • Bachelor’s Degree in mathematics, statistics, engineering or related field. • 2+ years of previous technical experience in data analytics • 2+ years of previous experience in data visualization • Experience deploying Python codebase, or equivalent language with eagerness to learn python. • Knowledge of SQL databases and queries • Demonstrated project management experience • Basic git proficiency Top Candidates Will Also Have: • Excellent oral and written communication skills • Strong customer focus • Ability to work effectively with a wide variety of groups including IT and Industry Partners. • Experience writing Data Pipelines with Python • Experience with Kedro Framework • Experience with a git-based workflow and collaborating on software projects. • Experience with Azure Build Pipelines, or equivalent ci/cd with willingness to use Azure Build Pipelines Additional Information: This position is a fully remote position however, some team events, training, and project support may require you to be onsite at a Remanufacturing facility (Corinth MS, Franklin IN, Fargo ND, Nuevo Laredo Mexico), Reman Analytics’ home site (Peoria/Mossville IL) or Caterpillar Headquarters (Irving TX). The frequency will be determined by ongoing team planning events and scope of projects. Travel will be less than 25% Employee benefit details: Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just an hourly wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of annual bonuses. Additional benefits include paid vacation days and paid holidays (prorated based upon hire date). Medical, dental, and vision coverage Paid time off plan (Vacation, Holiday, Volunteer, Etc.) 401k savings plan Health savings account (HSA) Flexible spending accounts (FSAs) Short and long-term disability coverage Life Insurance Paid parental leave Healthy Lifestyle Programs Employee Assistance Programs Voluntary Benefits (Ex. Accident, Identity Theft Protection) Please ensure you frequently sign into your candidate home for any updates or correspondence for positions that you have applied for. https://cat.wd5.myworkdayjobs.com/CaterpillarCareers . Keep a frequent check on emails as correspondence will be sent to the email that you use to apply with. Employment sponsorship is offered for this position. Relocation not offered for remote work. Visa sponsorship available for eligible applicants. EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply. Not ready to apply? Submit your information to our Talent Network here .
Senior Machine Learning Researcher For Copilot	Github	GitHub is looking for a research engineer in the area of machine learning to join GitHub Next. We are a growing team of engineers and researchers. Having made our mark with high-impact success stories like GitHub Copilot, we want to keep leveraging the power of Machine Learning to revolutionize GitHub and hence the world-wide community of developers and creators who rely on it for their daily work. We continue to build on these foundations while at the same time exploring new projects in different areas including AI-enhanced static analysis, supply-chain security, innovative approaches to CI, and many more. You will be working with other members of our team as well as colleagues from elsewhere in GitHub and Microsoft on providing machine learning solutions to these challenges. Some of the projects at the Innovation Lab are a sustained effort to put an idea that has proven its worth into production and at the fingertips of the world’s developer community, whereas others are an experimental evaluation of a new idea where we iterate quickly to separate ideas that show promise from those that need some more time to mature. While we are not primarily a research outfit, our work does regularly yield novel results and insights along the way, which we publish at academic conferences where applicable. Responsibilities: Participate in our ongoing projects in the area of code intelligence. Conceive, design, train and deploy machine learning models. Extend and fine-tune deep learning architectures. Help out in the day-to-day running of the Innovation Lab: organizing our webinar series, interviewing new candidates, and disseminating research results. Minimum Qualifications: Firm theoretical background in machine learning. 3 years+ hands-on machine learning experience. Previous experience with deep learning, sequence models and NLP. Inclination to prototype quickly and make fast decisions on experiment failure. A creative mindset and good practical skills are more important to us than formal experience. Preferred Qualifications: PhD in computer science, mathematics, or a related field, or other evidence of the ability to do independent, innovative research. Previous experience at working with large, distributed machine learning pipelines, e.g. using Microsoft Azure or k8s. Experience training large language models for code generation. Ability to communicate complex ideas clearly, both in spoken and written form, for expert as well as novice audiences. Location: In this role, you can work remotely from the following countries: Austria, Denmark, Germany, Ireland, Netherlands, Spain, Sweden, Switzerland, United Kingdom or onsite in one of GitHub’s European offices (Amsterdam, Oxford).
Senior Data Scientist	Translucent	tl;dr You are curious, smart and great at what you do. You are looking for a remote role where you get the chance to work at a startup where you can fundamentally create & shape the product. Salary: More than £100k p.a. + large option package Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays Location: Remote, but UK/European time zone The OpportunityTranslucent was only conceived in May but, due to the quality and track record of the team and the huge opportunity, it has already received investment from top tier angels and a leading institutional investor.Translucent is taking advantage of the latest data tools & techniques to build a next generation accounting system. As such the Data Science Team will be at the very heart of the company and the product.The opportunity is to be there at the very beginning of a large and successful company.The RoleThis role will be part of the founding Data Science Team. You will have the opportunity to set the architecture, the toolset, the schemas, etc.You will be part of a small Data Science Team (<5 to begin with) building the MVP of our product alongside our Dev team and our Data Engineering team.You will be working with financial and accounting data consisting of categorical, numerical, free text and geolocation fields.You will join a team doing rapid experimentation with modern machine learning algorithms and tech stacks while 1.) respecting the volatile nature of our main dependency: data, and 2.) writing data science code that can go into production.You will be building the first models that power the Translucent MVP while also designing the data science infrastructure with the dev and engineering teams upon which all other data science work will be built.You have years of experience working with the modern data science ecosystem and translating business needs into machine learning models and solution design. You have strong experience with the algorithms behind the tooling, and ideally have experience of putting data science code into a productive setting.Proficiency in Python is a must-have, while experience with MLOps and modern data management is a strong plus.You are smart and curious, and passionate about your work.You are looking to work in a team where excellence is recognised, people are treated well and there is a high product velocity. Salary: More than £100k p.a. + large option package Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays Location: Remote, but UK/European time zone Pension Contributions Healthcare
Staff Data Scientist Partnerships	Legalzoom	Description About LegalZoom We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts. As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further. With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions. Remote-first Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness. At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person. Overview The Data Science and Engineering team at LegalZoom helps us make measurably better decisions, faster. We do this through everything from shaping our product strategy to running experiments that let us know how well our strategy is performing. In this role, you will work closely with the Partnerships business to help them make data-driven decisions. The goal is to help customers build successful businesses by identifying and delivering offers from LegalZoom partners. Whether that offer is a business license, insurance, or any of our other partner offerings, your work is critical to providing the customer the right option at the right time. You will move nimbly between 1st and 3rd-party data sources and provide insights to Partner Managers and partners. You will work very closely with our colleagues in Engineering on everything from helping them build data-driven products to making sure that we are taking advantage of the latest advancements in data infrastructure (we are in the midst of migrating our data stack to the cloud). Examples of questions you’ll tackle include how do customers discover and opt-in to our partner offers, how can targeting improve conversion rates, and what other products and partner placements we should launch. You will Perform descriptive and predictive analyses to form hypotheses about how we can grow the business through better marketing spend and sales operations Influence LegalZoom leadership to pursue our hypotheses so that we better serve customers and grow our business Design and run experiments to test our hypotheses, including the definition of metrics that will enable us to understand customer behavior Interpret experiment results and use them to drive strategic and tactical recommendations for how to better reach our customers Provide insights at scale through building pipelines and dashboards that share the metrics you’ve created to provide us a more complete view of our customers Work closely with Marketing and Sales to help them better understand how to use data as well as form their own hypotheses so we can move faster You have Be a key driver of marketing strategy, by thinking beyond immediate analysis to understand the long-term implications of actionsBasic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields(If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseBasic understanding of experimental design (such as A/B experiments) and statistical methodsAbility and experience in extracting insights from data, and summarizing learnings / takeawaysMarketing/product data science or consulting experienceSearch Engine Optimization analytics experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law. Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom 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.#LI-REMOTE
Staff Data Scientist Marketing Analytics	Legalzoom	Description About LegalZoom We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts. As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further. With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions. Remote-first Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness. At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person. Overview The Data Science and Engineering team at LegalZoom helps us make measurably better decisions, faster. We do this through everything from shaping our marketing strategy to running experiments that let us know how well our strategy is performing. As a Staff Data Scientist on our Marketing Data Science team, you’ll tackle many of the existential questions facing our business. Questions such as which prospective customers should we target, how do we segment our customers & develop contact strategies that maximizes engagement and future revenue streams from key subscriber segments, and what should our pricing strategy be are all places where we are working to help make better decisions. You will Perform descriptive and predictive analyses to form hypotheses about how we can grow the business through better marketing spend and sales operations Influence LegalZoom leadership to pursue our hypotheses so that we better serve customers and grow our business Design and run experiments to test our hypotheses, including the definition of metrics that will enable us to understand customer behavior Interpret experiment results and use them to drive strategic and tactical recommendations for how to better reach our customers Provide insights at scale through building pipelines and dashboards that share the metrics you’ve created to provide us a more complete view of our customers Work closely with Marketing and Sales to help them better understand how to use data as well as form their own hypotheses so we can move faster You have Be a key driver of marketing strategy, by thinking beyond immediate analysis to understand the long-term implications of actionsExperience with ROAS, CAC, LTV, and MMMBasic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields(If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseBasic understanding of experimental design (such as A/B experiments) and statistical methodsAbility and experience in extracting insights from data, and summarizing learnings / takeawaysMarketing/product data science or consulting experienceSearch Engine Optimization analytics experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional) Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law. Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom 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. #LI-REMOTE
Staff Data Scientist Operations	Legalzoom	Description About LegalZoom We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts. As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further. With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions. Remote-first Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness. At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person. Overview The Data Science and Engineering team at LegalZoom helps us make measurably better decisions, faster. We do this through everything from shaping our operational strategy in Sales, Care and Fulfillment to identifying opportunities and implementing solutions. As a Staff Data Scientist on our Operations Data Science team, you’ll tackle many of the existential questions facing our operations. You will work with Business leaders, Product Managers, Engineers, Sales and Operations Associates to improve Legalzoom practices. You will think critically and apply statistical methods to solve challenges in these areas. Questions such as how do we optimize our buying experience? How do we organize our contact center to meet customers where they want to engage? Where do we invest in automation and self service? You will Be a key driver of operational product strategy by thinking beyond immediate analysis and understanding the long-term implications of actionsPerform descriptive and predictive analyses to form hypotheses about how we can grow the business through building better experiencesInfluence LegalZoom leadership to pursue our hypotheses so that we better serve customers effectively and grow our business Design and run experiments to test our hypotheses, including defining metrics that enable us to understand product experienceInterpret experiment results and use them to drive strategic and tactical recommendations for how to improve our products Provide insights at scale through building pipelines and dashboards to provide a more complete view of our products Work closely with Product, Engineering, Sales, Care and Operations partners to help them understand the data and form their own hypotheses so we can move faster Explore, automate, and leverage our data in analyses that will shape Legalzoom productsWork with fellow data scientists to continually improve our code and data best practices, prioritizing long-term data hygiene You have Basic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields(If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseUnderstanding of experimental design (e.g. A/B experiments) and statistical methods (e.g. Bayesian inference)Ability and experience in extracting insights from data, and summarizing learnings / takeawaysProduct data science or consulting experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law. Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom 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. #LI-REMOTE
Data Scientist I Product	Legalzoom	Description About LegalZoom We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts. As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further. With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions. Remote-first Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness. At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person. Overview The Data Science team at LegalZoom helps us make measurably better decisions faster. We work on everything from shaping product strategy to designing and running experiments that let us know how well our strategy performs. As a Data Scientist on our Product Data Science team, you’ll tackle many of our business's existential questions. We work on questions around go-to-market & commercialization strategy, modeling customer lifetime value, and digging into the details of how our customers interact with our products. You will Be a key driver of product strategy by thinking beyond immediate analysis and understanding the long-term implications of actionsPerform descriptive and predictive analyses to form hypotheses about how we can grow the business through building better productsInfluence LegalZoom leadership to pursue our hypotheses so that we better serve customers and grow our business Design and run experiments to test our hypotheses, including defining metrics that enable us to understand product experienceInterpret experiment results and use them to drive strategic and tactical recommendations for how to improve our products Provide insights at scale through building pipelines and dashboards to provide a more complete view of our products Work closely with Product and Engineering partners to help them understand the data and form their own hypotheses so we can move faster Explore, automate, and leverage our data in analyses that will shape Legalzoom productsWork with fellow data scientists to continually improve our code and data best practices, prioritizing long-term data hygiene You have Basic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseUnderstanding of experimental design (e.g. A/B experiments) and statistical methods (e.g. Bayesian inference)Ability and experience in extracting insights from data, and summarizing learnings / takeawaysProduct data science or consulting experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law. Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom 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. #LI-REMOTE
Data Scientist	Nielsen	Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are. Data Scientist (Remote) (Canada) Job Summary Want to join a team where your talent, ideas and creativity would matter? Do you value autonomy, crave new knowledge, and appreciate working on impactful solutions? Then this position may be for you! We seek passionate, creative and innovative Data Scientist to join our team and help build leading edge technologies. With a balance of research, development, and cutting-edge technology, daily routine will never show its boring face. Qualifications and Skills Relevant degree in Computer Science, Machine learning, Physics, Mathematics. At least 2 years of experience developing and implementing data science solutions. Hands on experience working on machine learning and data analysis/mining. A strong understanding of the principles of Statistics. Good understanding of ML concepts, theories and algorithms. Experience with using various statistics/ML libraries, e.g. Scipy, Statsmodel, SciKit, Tensorflow, or similar. Knowledge of Python and familiarity with Java are assets. Hands-on experience with Jupyter Notebooks. Database experience and knowledge of SQL. Experience with analyzing large volumes of data is an asset. Authorized to legally work in Canada Nice to haves Familiarity with distributed systems is a plus. Familiarity with Spark or other Big Data technologies. Familiarity with AWS, GCP, Node JS, and Python are assets. Eager to learn and willing to take initiatives #LI-GR1
Data Science Manager	Mission Lane	You’ll be a successful Data Science Manager on our Data Science Team if: You want to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck You make your team better on a daily basis because you can be clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust You can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need. You have a deep understanding of the field of data science and can develop and communicate a vision to your team on how the field can be applied to solve difficult practical problems You’ve created, deployed, and managed experiments and models in production systems and can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in that work You are more motivated by practical solutions than theoretical elegance You can communicate, collaborate, compromise, and be sensitive to the needs of your partners and teammates We are offering: A low-ego, respectful, data science team committed to solving practical problems together The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision Flexible work hours and flexible work location (even after the pandemic) A generous parental leave policy Excellent opportunities for career growth, with both management and technical tracks for advancement A team that values learning and approaches work with a “growth mindset” A competitive salary, equity, and a full benefits package (health, dental, vision, 401k) You might be particularly excited about the role if you want: To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI) To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
Senior Data Scientist	Eleanor Health	Position Description Eleanor Health is looking for an experienced Data Scientist to join our growing organization. In this role, you will work with stakeholders across the organization to help develop the foundation for predictive modeling and machine learning intelligence at Eleanor Health. As a data scientist you will build innovative, scalable solutions that address key business, operational, clinical, and product use cases. You will report directly to our Head of Data and Analytics as a core member of the data team. Responsibilities. Function as a thought partner for business stakeholders to determine impactful applications of statistical analysis and machine learning Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion Iterate with internal and external partners to tailor models and tools to address needs and requirements across the organization Drive a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency. Develop general-purpose frameworks to support machine learning applications in production Qualifications Advanced degree in a technical field (i.e. Computer Science, Engineering, Statistics, Economics), or bachelor's degree in a similar quantitative field with 5+ years of industry experience Strong communication and presentation skills required, particularly regarding the communication of data and insights Strong analytical and problem-solving skills with a critical approach to data and are mindful of the responsibilities that come with technologies that drive scale Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance Excellent command of data science libraries in Python Experience using SQL-based data warehouses required, bonus if experience using Google Cloud Platform tooling such as BigQuery, as well as proficiency with data programming languages such as R or python and their relevant statistical packages Experience working with claims data is not required but a plus About Eleanor Health Eleanor Health is the first outpatient addiction and mental health provider delivering convenient and comprehensive care through a value-based payment structure. Committed to health and wellbeing without judgment, Eleanor Health is focused on delivering whole-person, comprehensive care to transform the quality, delivery, and accessibility of care for people affected by addiction. To date, Eleanor Health operates multiple clinics and a fully virtual model statewide across Louisiana, Massachusetts, New Jersey, North Carolina, Ohio, Texas, and Washington, delivering care through population and value-based partnerships with national and regional payors, employers, and other stakeholders. If you are passionate about providing high quality, evidence based care for individuals with substance use disorder through an innovative practice, and about building a great business that makes a difference, Eleanor Health is an ideal opportunity for you. We seek highly skilled, motivated and compassionate individuals who take responsibility and adapt quickly to change to join our deeply committed and collaborative team. Job Type: Full-time
Data Science Manager	Code For America	Code for America builds technology to make government services work for those who need them most. The Data Science Team supports Code for America’s work in improving access to safety net services, automating record clearance, and making it easier for lower income households to claim tax benefits. As a Manager on the Data Science team, you’ll coach and support team members in doing research and building tools that help us spot opportunities for impact, design and evaluate interventions, and that make data and insights available to the rest of CfA staff. Most of the team’s work is about understanding what problems exist in government services, how big those problems are, and how we can address them. We do a lot of descriptive data analysis using case, survey, and event data to identify and size problems. We collaborate with qualitative researchers and designers to identify potential improvements that help more people get through each step in the process. Finally, we love running experiments to evaluate those potential improvements, whether small a/b tests in Optimizely, more extensive changes in website flows and logic, or variations in text and email messages to help people get or keep benefits. We’re committed to sharing what we learn from our research so that government agencies and others in the civic tech ecosystem can benefit from what we’ve learned. We document research thoroughly and have a knowledge manager on staff to help us synthesize findings and reflect on what we’ve learned and what questions we ought to pursue next. We disseminate findings through our blog, white papers, and in journals when we’re collaborating with academic partners. The team has nearly a dozen members and range from social science, human computer interaction, statistics, and public policy. Team members regularly support each other on analyses, interpreting results, storytelling, etc. We lean heavily toward quantitative research with only occasional use of ML. We’re growing and have flexibility with how we allocate staff to managers: depending on how much experience you have with government work, you may want to initially split your time as a manager and an individual contributor. We’re looking for someone who is: Excited to invest in and help develop people. You enjoy coaching, whether that’s giving feedback on a write-up, pairing on analyses, or talking through how to answer a question. An excellent listener. You get to know people’s strengths, preferences, goals, and what challenges they’re facing day to day in their work. You elevate what you are hearing and think resourcefully about how to support your team. A clear communicator, both in writing and speaking. If needed, you can help team members improve their ability to communicate findings to different audiences. A thought partner: Enjoys getting to better ideas through discussion, is able to think clearly and systematically and is able to convey that thinking. Pragmatic: you encourage resourcefulness, “good enough” for the goals and task at hand, and staying focused on real-world impact. A thoughtful empiricist: you make decisions with data and advocate for decisions to be made with data, but you think hard about limitations of the data and can educate others on how to spot those limitations. Requirements: 10+ years of experience, with some experience as a manager Depth in one of: social science, policy, statistics, machine learning Expert fluency with Python or R Extensive experience with data wrangling and data management Solid understanding of a wide range of statistical concepts and methods Extra Credit: Personal experience with the justice system, social safety net, workforce training, or other mission-relevant government services. Work experience in or with government agencies This role is remote, is a full-time opportunity, and will report to a Data Science Director. Salary ranges from $134k - $158k, depending on location. Benefits Code for America offers full health and dental benefits, a 401k plan with matching funds and a culture that is collaborative, hardworking and fun. About Code for America Code for America is a startup non-profit with a great culture and a huge opportunity to make a difference. We work in cross-functional teams, collaboratively and agilely and value high-quality, user-friendly work product. We strive to learn from everything we do and regularly host talks from leaders in the civic technology movement. We respect each other, work hard, and have a great time together. We’re looking for individuals who share our vision, our values, and our willingness to do what it takes to achieve an ambitious mission over the next few years. Equal Employment Opportunity Code for America values a diverse workplace and strongly encourages women, people of color, LGBT individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Code for America is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.
Principal Research Scientist	System1	System1 is looking for an experienced machine learning researcher and practitioner to join our data science and machine learning team as a Principal Research Scientist. This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month. The ideal candidate will have extensive experience designing and building algorithms to automate and optimize planning and decisioning for extremely complex dynamic systems with imperfect information. You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, Player of Games/growing-tree counterfactual regret minimization, etc) and intuitively understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk. With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company! What You Can Expect on the Team Provide both hands-on/individual contributor support and technical thought leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics Maintain expert knowledge in computer science, machine (and deep) learning, data mining, reinforcement learning, large-scale robust optimization techniques and more Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities Coach and mentor data scientists to elevate the talent bar across System1 What You Will Bring Degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience Demonstrated experience researching & developing algorithms for intelligent automation and optimization systems Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc) Hands-on experience building ML driven products Experience leading technical research and production grade development efforts Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) Strong functional programming development skills (preferred) Ability to effectively communicate technical information to a wide spectrum of cross-functional team members Experience mentoring and coaching junior team members What We Have to Offer Competitive PTO 11 Company Holidays Untracked sick time 100% covered Medical, Dental, Vision for employees 401k w/match Paid professional development Leadership & growth opportunities Virtual company and team building events #BI-Remote #LI-Remote
Principal Machine Learning Scientist Search Recommendations	System1	System1 is looking for an experienced machine learning researcher and practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the Search & Recommendations team. This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month. The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment. With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company! The Role You Will Have Provide both hands-on/individual contributor support and technical thought leadership in the development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency Maintain expert knowledge in the latest in machine learning with an emphasis on emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities Coach and mentor data scientists to elevate the talent bar across System1 What You Will Bring Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience 5+ years of experience researching & developing algorithms for search and/or dynamic content recommendations Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc) Hands-on experience building ML driven products Experience leading technical research and production grade development efforts/teams Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc) Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products Strong functional programming development skills (preferred) Ability to effectively communicate technical information to a wide spectrum of cross-functional team members Experience mentoring and coaching junior team members What We Have to Offer Competitive salary + bonus + equity Generous PTO + 11 Company Holidays Untracked sick time 100% covered Medical, Dental, Vision for employees 401k w/match Paid professional development Leadership & growth opportunities Virtual company and team building events #BI-Remote #LI-Remote
Senior Machine Learning Scientist Search Recommendations	System1	System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the Search & Recommendations team. This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month. The ideal candidate will have experience researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment. With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company! The Role You Will Have Hands-on development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency Research the latest in machine learning for emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies Contribute to the development of System1’s roadmap for core machine learning capabilities What You Will Bring Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience 2+ years of experience researching & developing algorithms for search and/or dynamic content recommendations Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc) Hands-on experience building ML driven products Experience leading technical research and production grade development efforts/teams Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc) Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products Strong functional programming development skills (preferred) Ability to effectively communicate technical information to a wide spectrum of cross-functional team members What We Have to Offer Competitive salary + bonus + equity Generous PTO + 11 Company Holidays Untracked sick time 100% covered Medical, Dental, Vision for employees 401k w/match Paid professional development Leadership & growth opportunities Virtual company and team building events #BI-Remote #LI-Remote
Senior Machine Learning Scientist Ai Automation Optimization	System1	System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the AI Automation & Optimization team. This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month. The ideal candidate will have experience designing and building algorithms to automate and optimize planning and decisioning for complex dynamic systems with imperfect information. You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk. With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company! The Role You Will Have Hands-on development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics Build expert knowledge in computer science, machine learning, data mining, reinforcement learning, large-scale robust optimization techniques and more Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings Contribute to the development of System1’s roadmap for core machine learning capabilities What You Will Bring Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience 2+ years of experience researching & developing algorithms for intelligent automation and optimization systems Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc) Hands-on experience building ML driven products Experience leading technical research and production grade development efforts Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia) Strong functional programming development skills (preferred) Ability to effectively communicate technical information to a wide spectrum of cross-functional team members Experience mentoring and coaching junior team members What We Have to Offer Competitive salary + bonus + equity Generous PTO + 11 Company Holidays Untracked sick time 100% covered Medical, Dental, Vision for employees 401k w/match Paid professional development Leadership & growth opportunities Virtual company and team building events #BI-Remote #LI-Remote
Lead Staff Data Scientist	Shopify	About the role Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey. Qualifications 7-10 years of commercial experience in a data science role solving high impact business problems You have well built technical experience that inspires individual contributors creativity and innovation. You have experience with product leadership and technical decision making. You have been working closely with various levels of business stakeholders, from c-suite and down. You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team. Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking. Experience creating data product strategies, data products, iterating after launch, and trying again. Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals What would be great if you have: Previous experience using Spark. Experience with statistical methods like regression, GLMs or experiment design and analysis. Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools. All your information will be kept confidential according to EEO guidelines. If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application. #LI-REMOTE Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet. At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying. How we hire At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you. Learn more about our hiring process
Analyst Speech Science	Walgreens	Job Summary: Responsible for the performance of the overall quality speech analytics category design. Works cross-functionally with various groups internally and externally. Collaborates and synthesizes analyses for the implementation of scorecards. Responsible for extrapolating data, developing queries, ensuring standardization of external files, leading projects that relate directly to the speech analytic platform, and make recommendations for the betterment of the company. Works hand-in-hand with other analysts and specialists within the team to build and invent an outstanding product with a prime focus on accuracy, understandability and performance of the product. Job Responsibilities: Implement statistical language models, computational frameworks to process massive volumes of data, and engineer prototypes in a programming language (examples: Python, Java, R).Analytical and knowledgeable, recognize pertinent language patterns and conversational content that lead to business valueAnalyze recorded audio and audio-based data sets for critical insights.Captures combinations of keywords phrases within the system for optimal configurations performanceNatural Language Processing: Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications.Participate in design, development, evaluation, deployment and updating of data-driven models and analytical solutions for natural language applications.Responsible for determining opportunities through analysis of current or future trends and provide ongoing speech category designDetermine what call events (keywords and phrases) to train the software to recognize as structured data to support analytics and business goals, by using an inquisitive and intuitive approachWeekly/monthly reporting to management and business unitsFamiliarity with Voice User Interface (VUI) documentsUse a variety of testing methods to measure the impact of ongoing campaigns and new initiatives.Build positive relationships, cultivate decisions and communicate findings to executives and partners.
Staff Data Scientist	Urbint	100% Remote - Hiring in the US and Canada only At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities We encourage people from underrepresented groups to apply. At Urbint, the machine learning team does not work on making consumers spend more or work on maximizing clicks. That is all fine; we work on reducing carbon emissions, reducing infrastructure risk and avoiding fatalities. We find meaning and excitement solving these problems, and we hope you do, too. We are looking for a Staff Data Scientist to join our high visibility, high impact Machine Learning team to help with this mission. Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling, Applied ML, ML Research, AutoML and MLOps. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion. What You'll Do You will major in ML Research, autoML and have the option to minor in any of the areas listed above. You will leverage or adapt existing research and derive new algorithms to solve atypical problems (use cases). You will provide technical leadership to the ML team. provide technical guidance for the team to formulate the research problem, design the experiment and narrow down the solution space. be the go-to person for in-depth questions on the underlying math behind different techniques and their applicability for a given problem. develop a roadmap on which technologies the team should invest in. Overall you will be responsible for developing state of the art solution frameworks for difficult to solve use cases. Who You Are Minimum 6 years of experience as a Data Scientist. Note: If you have a background in Data Analytics, Data Engineering, or a Machine Learning Operationalization, we'd still love to hear from you and invite you to apply for roles more relevant to your background here: Urbint Careers Page Strong technical breadth and strong technical depth in at least two areas of machine learning (eg. Time Series, NLP, DL, Classical ML etc.). Experience solving concrete, real-world machine learning problems in a commercial setting. Passionate about delivering commercial/customer value through ML. Well-versed in Python. Nice to Have PHD in a quantitative field preferred. Comfortable writing production ready code and Strong software design engineering experience. Experience with Startup, Product and/or Agile environments. Track record of creating excellent slack emojis and memes. Benefits Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient We are 100% Distributed - work from almost anywhere Competitive compensation packages Your health and wellness matters to us, so we offer 100% employer-paid premium options and more… Physical Health: Monthly wellness reimbursement to assist with gym memberships and other related activities Home Office Reimbursement: Monthly allowance covering utilities (electric, internet) and related home office expenses Co-Working: Monthly allowance covering expenses for co-working space Professional Development: Generous annual allowance, supporting your growth Employee Meals: Weekly lunch allowance -- Urbint's Core Values Passionate about customers: We strive to deliver sustainable value and exceed expectations, and we’re not satisfied until our customers are raving fans. Be decisive: We make timely, informed, and pragmatic decisions to keep the organization moving forward. Build trust: Our values are the building blocks to trust. As we live them, we grow and build lasting relationships. Focus on impact: We measure and strive to continuously improve our real-world impact. Be tenacious: We are agile in our approach to addressing challenges but firm in our beliefs. Win together: We efficiently leverage our diverse skills and perspectives for one another, united by our shared vision. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status
Senior Data Scientist Applied Auto Ml	Urbint	100% Remote - Hiring in the US and Canada only At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities. We encourage people from underrepresented groups to apply. Job Summary At Urbint, the machine learning team does not work on making consumers spend more or on maximizing clicks. That is all fine; we work on reducing carbon emissions, reducing infrastructure risk and avoiding fatalities. We find meaning and excitement solving these problems, and we hope you do, too. We are looking for a Senior Data Scientist to join our high visibility, high impact Machine Learning team to help with this mission. The ML team collaborates with a diverse, broader-mission team to deliver value for our customers. Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling, Applied ML, ML Research, AutoML (Algo/Performance) and MLOps (DE, SRE). This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion. What You’ll Do You will major in Applied ML (customer-facing) and minor in AutoML, focused on delivering value to customers. You will translate business problems into data science problems, and develop solution frameworks (for repeatability/scaling) with focus on speed to value. You will own key portions of OKRs that help maximize team productivity. You will have strong communication and organizational skills. You will convey complex ideas & trade-off decisions to business stakeholders. You will provide guidance to your team on task level prioritization and cross team coordination. You may support other teams during ideation with customers. Overall, you will be responsible for building ML products that deliver measurable business value for customers. Who You Are 3+ years of experience in data science/machine learning roles. Experience solving concrete, real-world machine learning problems. Well-versed in Python or R (and willing to continue to learn the Python ecosystem). Comfortable writing production-ready code. Demonstrated problem-solving skills and experience maximizing team productivity. Experience leveraging AutoML technologies. Up to date with what’s under the hood of some of the advanced ML tools available. Nice to Have Experience with startup or Agile environments. Experience building AutoML tools. Track record of creating excellent slack emojis and memes. Benefits Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient Top Compensation - Competitive compensation package We are 100% Distributed - work from almost anywhere Distributed work monthly stipend Office Space Stipend for co-working space expenses Wellness reimbursement Educational Allowance Weekly lunch stipend -- Urbint's Core Values Passionate about customers: We strive to deliver sustainable value and exceed expectations, and we’re not satisfied until our customers are raving fans. Be decisive: We make timely, informed, and pragmatic decisions to keep the organization moving forward. Build trust: Our values are the building blocks to trust. As we live them, we grow and build lasting relationships. Focus on impact: We measure and strive to continuously improve our real-world impact. Be tenacious: We are agile in our approach to addressing challenges but firm in our beliefs. Win together: We efficiently leverage our diverse skills and perspectives for one another, united by our shared vision. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Senior Manager Data Science	Urbint	Hiring in Canada and the US Urbint is an AI-first SaaS company. Our mission is to make communities more resilient by identifying areas of high risk and preventing catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers and entrepreneurs who obsess over problem-solving, new technologies, and making a positive impact in our communities. We encourage people from underrepresented groups to apply. Job Summary We find meaning and excitement solving real world problems, and we hope you do, too. At Urbint, the machine learning team does not work on making consumers spend more or on maximizing clicks. We get to make an impact with our work by reducing carbon emissions and infrastructure risk, and even saving lives. We are looking for a “product fluent” ML leader to join our high visibility, high impact team to help with this mission. The ML team collaborates with a diverse, broader-mission team to deliver value for our customers. Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling, Applied ML, ML Research, AutoML (Algo/Performance) and MLOps (DE, SRE). This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion. While research is an important aspect of machine learning, we are not an R&D only team. We deploy models, and are able to measure and quantify the real-world impact. What You'll Do Overall, you will be responsible for delivering business value at scale via Machine Learning. You will be “an orchestrator” - managing out and cross-functionally, building roadmaps, and providing leadership for squads, including: Working closely with ML, Product and Customer Success leadership to understand business goals and translate them into Machine Learning initiatives. Providing technical guidance for the team to formulate the research problem, design experiments and narrow down the solution space. Managing your team’s sprint goals, stories and deliverables. You will use your strong communication and organizational skills to help the team convey complex ideas & trade-off decisions to business stakeholders. You will be a significant contributor in building our products, specifically through creating frameworks, tools & operating models for: Discovery: Ensure the Data Science solutions clearly reflect and effectively solve the business problem in question. Delivery: Will be responsible for your team’s deliverables with an obsession towards customer value. Speed to value: developing tools that enable team productivity and accelerate deliverable quality. You will build and manage a team of high performing data scientists You will assist the VP, ML in offering strategic guidance in leveraging data science to shape product vision, business strategy and drive competitive moats or differentiators - with a lot of room for growth! Who You Are 8+ years of progressive experience in data science/machine learning roles, having built successful models yourself, and leading/mentoring teams for 4 years+ Expert level in coding, package management & architecture designs. Experience in Agile and comfortable with startup environments. Up to date with what’s under the hood of some of the advanced ML tools available. Most importantly, you’ll offer strong product thinking skills. E.g Able to define n versions of the ML task to solve the same business problem and be able to articulate the tradeoffs for the customer. Nice to Have Experience building AutoML tools. Track record of creating excellent slack emojis and memes. Benefits Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient We are 100% Distributed - work from almost anywhere Competitive compensation packages Your health and wellness matters to us, so we offer 100% employer-paid premium options and more… Physical Health: Monthly wellness reimbursement to assist with gym memberships and other related activities Home Office Reimbursement: Monthly allowance covering utilities (electric, internet) and related home office expenses Co-Working: Monthly allowance covering expenses for co-working space Professional Development: Generous annual allowance, supporting your growth Employee Meals: Weekly lunch allowance We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Staff Applied Scientist I Recommendations Personalization	Etsy	Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact. Job Description What’s the role? Etsy is an international marketplace with 65M+ handmade and vintage items from passionate artists, designers, and vintage collectors. Our Recommendations and Personalization (PersoEng) enables product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers. As a Staff Applied Scientist, you will be responsible for initiating and delivering new solutions for the domain application of Recommendations. We are looking for individuals who are product & technology-driven, and are passionate about making ML innovations in areas such as: Natural Language Processing, Representation Learning, Clustering, Optimization, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller experience! This is a full-time position reporting to the Applied Science Manager, Recommendations. For this role, we are considering candidates based in the U.S. who are either remote, flex or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here. What's this team like at Etsy We build capabilities to select relevant item candidates to help product teams to provide personalized user experiences.We use machine learning algorithms to train models which can be used to choose relevant personalized candidate sets for our recommendation engine. What does the day-to-day look like? Initiate and lead a new track of works to enhance the capability of candidate generation for Etsy’s Recommendation engine.Develop innovative representations to capture salient signals of our users and listings, including aspects like content, function, budget, and preferences.Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized retrieval, ranking, revenue optimization, seller fairness, and seasonalityMentor other applied scientists and guide them during their projectsWork closely and collaboratively with software engineers, data scientists, product managers, and designersOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualifications Qualities that will help you thrive in this role are: Successful track record of applying machine learning techniques in addressing real-world problemsExperience with / working in one of the following fields: reinforcement learning, deep learning, or computer visionShown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready codeAbility to write and manipulate data at a large scale, in distributed environmentsExperience using Google Cloud PlatformExperience in representation learningExperience in Approximate-Nearest- Neighbor (ANN) searchExperience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.Experience using the following frameworks: Spark Scala, Airflow, Kubflow, Tensorflow Additional Information What's Next If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is 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. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.
Data Scientist	Karat	We're Karat, the leader in technical interviewing Karat’s purpose is to Unlock Opportunity for engineers and companies alike, and our mission is to make every interview predictive, fair, and enjoyable. As the world’s technical hiring expert, we help companies hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a passionate, smart, and committed team, and we want you to join our mission! Come join our Data team Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product. What you will do As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements. Job Responsibilities Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions. Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services. Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers. Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features Identify methods for automating existing manual business processes Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring. Support our engineering teams by reviewing code and designs as-needed Nurture data conversations within Karat by educating teammates about data science and machine learning. The experience you will bring 3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred Experience with Python and related data science and machine learning libraries Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles Experience with data visualization and presentation, data analytics and BI tools, and cloud services Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position. Benefits of joining Karat Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask! Compensation / Time Off: Highly competitive salary and stock options 401(k) with company match Generous paid PTO (see below) and Sick Leave (10 days per year) Flexible Time Off Policy for salaried positions Three weeks accrued per year for hourly positions Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity) 20 paid Company Holidays for 2022 Benefits / Wellness: Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees) 100% premium covered for employees 70% premium covered for dependents FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more $150 per month contribution to miscellaneous benefit/wellness of employee’s choice Learn more about us Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat. We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply. If you have a disability or special need that requires accommodation, please let us know at [email protected]. Karat is an E-Verify company.
Data Scientist	Disney	Job Summary: Supporting the Disney Advertising Sales organization within our Disney Media & Entertainment Distribution (DMED) segment, the Audience Modeling and Data Science team are subject matter experts in each of the following areas: Creating and optimizing audience classification models that enable us to predict and target strategic audience attributes, including brand affinity, purchase behavior, and psychographicsIntegrating a broad suite of complex datasets, from digital event logs to sporting event metadata, into carefully curated and reusable data modelsPublishing audience attributes across an array of ad-serving endpointsWorking cross-functionally to ensure our data product is aligned with the goals of each strategic sales vertical and the business as a whole We are looking for Data Scientists with strong SQL skills, knowledge of implementing ETL/orchestration processes and excellent data engineering background to join the Walt Disney Company’s DMED segment on the Ad Sales team. This role reports into the Data Science Strategy organization that manages key revenue-driving products for the Audience Modeling and Data Science team. The ideal candidate is a Data Science Engineer, Data Scientist, Data Engineer or Software Engineer that is looking to grow into a high-visibility, client-facing role. Responsibilities : Create automated data feeds using various SQL orchestration platforms to support data science products.Participate and engage in product-development meetings and translate business requirements to technical action items for data feeds and reporting.Analyze the UX of data science products and provide feedback to management/product teams to implement.Leverage cloud SQL software and open-source tools to wrangle huge amounts of data across dozens of sources into a unified data model.Interact with business stakeholders (both internal and external) to understand macro-level organization strategy and help drive forward data science initiatives.Assist in development and orchestration of processes that egress data to storage repositories and API endpoints.Collaborate on rapid prototype MVP (minimum-viable product) solutions for emerging opportunities.Translate business language and requirements into technical action items. Basic Qualifications : 2-3+ years of experience in data engineering, data science or software engineering.Strong experience in Google Cloud, AWS, or other cloud platforms a must.Experience in end-to-end data quality assurance analysis, with ability to identify and address the ‘why’ in complex pipeline processes.A desire to work directly with business stakeholders and understand strategic decision making in a communication-heavy data science role.Proven ability in developing production-ready data pipelines utilizing orchestration applications.Strong experience using SQL to transform and summarize data (Spark, Beam, Hadoop, and other big data processing software a plus).Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious).Great organization, communication, and teamwork skills.Self-motivated with the ability to work and learn independently. Required Education : B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
Principal Data Scientist	Fountain	Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face. Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway. We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship! In this role you will partner with our internal teams and current customers to develop and deploy superior machine learning models that drive growth using first- and third-party data. Your deep curiosity and tenacity, combined with business judgment will surface opportunities to apply data science to various business problems, including optimizing B2B marketing budgets. Your algorithms will be leveraged to deliver superior results which actively contribute to Fountain’s rapid growth. Reporting to the Director, Data Science, you will have the opportunity to showcase your work to the leadership team. You will lay the foundation for our Marketing measurement, aligning offline and online data for a true view of effective spend. What you will be doing: Program using R, Python, Javascript, Java, or C++ Perform big data modeling work: BigQuery, Pig, Scala, Spark Fish for data: SQL, Pandas, PostgreSQL Deploy Data Science solutions: Java, Python, C++ Can communicate concisely and persuasively with marketers, engineers and product managers. What you should bring: Significant prior success as a Data, Marketing, or Decision Scientist working on challenging problems at scale Bachelor’s degree required in Computer Science, Statistics, or Mathematics or equivalent field required 5+ years of industry experience, with expertise in Data Science, Business Analytics, or Data Analysis Strong ability to code in Python Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring. Nice to Have: Advanced graduate degree (e.g., MBA, PhD, etc.) Experience includes B2B Marketing. Amazing Perks & Benefits we provide for our employees include (but are not limited to): Flexible PTO & Work Hours "Work from Anywhere" Policy Comprehensive medical, dental, and vision coverage HSA & FSA (Medical and Dependent Care) Life Insurance & STD/LTD 16 Weeks Paid Parental Leave for Birth/Adoption Wellness/Gym Reimbursement Phone Stipend Remote IT/Home Office Stipend Learning and Development Reimbursements Fun, interactive and inclusive team-building events, off-sites, and happy hours 401K Plan Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status. Fountain is proud to be an Equal Opportunity Employer—M/F/D/V
Senior Data Scientist	Smartasset	About Us: SmartAsset is an online destination for consumer-focused financial information and advice that powers SmartAdvisor, a national marketplace connecting consumers to financial advisors. Reaching approximately 75 million people each month (as of Sept. 2021) through its educational content and personalized calculators and tools, SmartAsset's mission is to help people make smart financial decisions. Ranked on the Inc. 5000 and Deloitte Technology Fast 500™ lists of fastest growing companies in 2021, SmartAsset closed a $110 million Series D round, valuing the company at over $1 billion. SmartAsset was also named to Y Combinator's list of Top 100 Companies of all time and Forbes' list of America's Best Startup Employers in 2020. SmartAsset has been featured in hundreds of publications, including the Wall Street Journal, CNN, TechCrunch, The New York Times, CNBC, FOX Business, The Washington Post, U.S. News World Report, TIME, Reuters, Businessweek and Barron’s. About you: As a Senior Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on model monitoring. You will mentor junior data scientists, and lead the data team expansion and adoption of good practices.You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations. You will cooperate with other business leaders from different teams (Sales, Marketing, Product, and Technology). Required Skills and Experience: Proficient in Python and SQL Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc) Professional experience with the development and deployment of predictive models, with an emphasis on time series and categorization models. Professional habits around model validation, testing, and tracking Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, containerization, and task scheduling Experience with statistical techniques and their applications in a business environment An investigative journalist-type approach when it comes to getting answers to a problem Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field 5 years of relevant working experience Preferred Skills and Experience: Experience with ML services like AWS Sagemaker, DataBrew, Feature Store Experience with prototype-to-production model development Experience with model monitoring (drift / performance…) Comfortable in working on the line between data science and data engineering Available Benefits and Perks: All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the US. Medical, Dental, Vision - multiple packages available based on your individualized needs Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available FSA: Medical and Dependant Care 401K - 3% match with immediate vesting Equity packages for each role Time Off: PTO, 3 Month Paid Parental Leave, Secondary Caregiver Leave EAP (Employee Assistance Program) Pet Insurance Short-term and Long-term Disability Home Office Stipend Health and Wellness Stipend Monthly Food Delivery Stipend SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. 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. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Director Of Machine Learning	Altana	We are looking for a talented Data Science & Machine Learning Leader to help build this vision. In this role you’ll report to the Chief Technical Officer and Chief Science Officer and help create the culture and environment by which we use cutting edge AI + ML to construct our network, deliver predictions to customers, analyze and predict network trust, identify classification and misclassification problems, and help our teams build, deliver, and customer the AI/ML experience for our customers. This is a strategic role for our organization that enables us to accelerate our rapidly grow the value and unique insight we can deliver to customers. Responsibilities Manage a cross-functional team of talented Data Scientists, Analysts, and Machine Learning Engineers responsible for the construction and enhancement of the Altana Atlas Knowledge Graph, and the delivery of our decision support products Define Altana's data and machine learning technology standards, and oversee the training, mentorship, and performance of a world-class technology team Collaborate and build strong relationships with Product and Customer Solutions stakeholders to understand requirements and priorities Manage the evaluation and professional development of your organization, including cultivating middle management Establish and oversee a hiring process that attracts and retains world class technology talent who can push the envelope of natural language processing, machine learning, and network analysis About You BS or MS degree in Data Science, Computer Science, or equivalent experience You have 10+ years of real-world professional experience building products based on Data Science & ML You have strong working knowledge of Knowledge Graphs, Entity Resolution, Natural Language Processing, and Classification techniques You have experience managing managers, building teams of 20+, and delivering major organizational impact You have a strong sense of shared ownership and a collaborative disposition You have strong written and verbal communication skills Nice to have, but not required You've worked with supply chain data, company data, or have familiarity with B2B economic modeling Experience with container technologies like Docker and Kubernetes Working knowledge of cloud services like AWS, Azure, or GCP Technologies we love Languages: Python, SQL Tools: Git, Kubernetes, Databricks, PowerBI, Tableau, AWS, Azure Datastores: Elasticsearch, Postgres, DataBricks, ArangoDB Compensation: $150,000 - $350,000 (Negotiable and dependent on experience)
Staff Machine Learning Scientist	Thirty Madison	The Role: We believe that intelligent technology working alongside outstanding care providers is key to delivering timely, quality and affordable healthcare to patients with complex chronic conditions. We’re looking for an early contributor Staff Machine Learning Scientist to own and execute on the ML vision. This is your opportunity to have an outsized impact on helping doctors make better decisions, increase healthcare access for our patients, while keeping patients engaged in their care and improving their health outcomes! What you’ll do: Partner with senior leaders to define the organizational machine learning roadmap, and find opportunities to improve care and operations with ML-driven solutions Own the planning, development, and impact assessment of ML initiatives and be hands on in building ML models using text, image, and structured data Collaborate with product and operations teams to integrate ML models into clinical and operational workflows Work closely with engineering and infrastructure teams to develop robust and scalable MLOps practices Mentor, and provide technical guidance for an early ML team of scientists and engineers Stay on top of recent developments in ML methods in the search, recommender systems, NLP, computer vision, and causal inference spaces You should have: 7+ years of applied ML experience in an e-commerce or healthcare setting Strong communication and experience working with multi-functional engineering, product, and operations teams Deep knowledge of the fundamentals of traditional machine learning and deep learning Experience training, deploying and serving ML models in a cloud environment (AWS preferred) Strong proficiency in Python, SQL, GitHub, scikit-learn, and at least one deep learning framework (PyTorch, TensorFlow, Keras) MS/PhD in computer science, statistics or another quantitative field preferred, but not required
Research Internship Ml Dl Fall	Dataminr	Type: Internship Experience: PhD/Graduate Students Who you are: You’re a Ph.D. candidate who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI, working in a highly collaborative environment and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator. Responsibilities: Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Information Retrieval, Complex Networks, Recommender Systems. Work closely with a diverse, interdisciplinary team on a specific project to be completed during the internship. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Minimum qualifications: Must be enrolled in a Ph.D. program in Computer Science, Electrical Engineering or a related field. Ideal candidates will have had prior internship experience. Outstanding publication record in the candidate’s field of study (CIKM, WSDM, ICWSM, ICML, KDD, NeurIPS, RecSys, SIGIR, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled used of metrics. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. #LI-AG #LI-Remote
Group Manager Technical Data Science	Atlassian	Working at Atlassian Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your future team We're looking for a Data leader with business instincts, management experience, analytics mastery, and experienced in improving data science efficiency. Someone who is passionate about applying these skills to lead data quality, reduce the need for data scientists to perform data engineering tasks, working across the organization to create the proper data layer to increase data science productivity. You will be reporting to Dylan Lewis, who is the Experimentation Leader at Atlassian. What you'll do Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they workPartner with the data engineering and platform teams to Identify, and support short, medium and long-term portfolio of projects that improves data assets used across data science.Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.Oversee business case development, data requirement gathering (including metrics and definitions alignment), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated.Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)Lead, coach, and build the data quality team within the Data Science teamCollaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.Contribute into overall Data Science team OKRsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisionsGuide demos sessions and education roll out for new data products and features to ensure adoption and usage Your background 3+ years of data science, analytics and/or data engineering leadership experienceExperience working with software and data engineering teams, an understanding of the software development lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), experience with data ETLs and UAT processes, and experience with visualization toolsAn Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Experience applying your analytics skills to identify and lead projects that have had an impact on strategic and product roadmap decisionsComfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling storiesProject management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams
Senior Research Scientist Ml Partnerships	Upstart	The Team Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles. As a whole, the Machine Learning team builds, enables and evaluates our core production models. Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward. Position Location - This role is available in the following locations: Columbus, Austin or Remote Time Zone Requirements - This team operates on either the East or West Coast time zones. Travel Requirements - This team has regular on-site collaboration sessions six times annually split between our San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses. What we’re looking for: Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred Programming skills in Python Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning Proficiency in a broad array of mathematical, statistical learning and machine learning concepts and applications Knowledge of machine learning, pipelines and engineering architecture Detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps Ability to meet team standards with respect to quality and velocity with minimal help or direction from peers For more complex tasks, ability to break down problems into smaller tasks, and use them to estimate the timeline of executing a larger initiative. Willingness to make the right tradeoffs when needed to deliver projects on time. Proactively communicate to stakeholders and teammates with ability to contextualize technical results Ability to mentor junior teammates with interest in technical and/or people leadership is a plus Strong sense of intellectual curiosity balanced with humility, drive and teamwork Numerically-savvy and smart with ability to operate at a speedy pace Enthusiasm for and alignment with Upstart’s mission and values What you'll love: Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings Employee Stock Purchase Plan (ESPP) Life and disability insurance Generous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programs Annual wellness, technology & ergonomic reimbursement programs Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering Catered lunches + snacks & drinks when working in offices #LI-REMOTE #LI-Associate
Data Scientist Product Analytics	Ontra	For this job we are currently only hiring candidates based in the United States. About the opportunity Ontra is seeking a Data Scientist, Product Analytics reporting to our Senior Manager of Data on our Research and Development team. The role is a great opportunity for someone looking to lead data science and analytics projects that support our growing Data Team’s efforts to enable data-driven decision-making across the Ontra organization. These include helping to build out our experimentation platform, leading small teams to develop analyses to improve product features, and improving our data infrastructure. The Data Scientist will work with business and product stakeholders to identify areas where data insights can provide business value and will devise data projects that address those needs. When executing on these projects, the Data Scientist will be both hands-on and a technical lead: contributing and guiding other Data Analysts’ efforts to uncover valuable insights from our legal data sets that inform product development and business strategy. As you combine your data expertise with growing knowledge of Ontra’s products and business, you also will lead efforts to define and track metrics that drive business improvements. If you are ready to dive into data sets to inform product decisions, we’d love to get to know you! What you’ll do Provide analytics expertise: Build thorough understanding of Ontra’s datasets and develop metrics and insights using SQL and python/R that address product and business needs Democratize data insights: Perform statistical analyses and create informative data visualizations using Snowflake/Snowsight, Looker, and python/R libraries that deliver value to stakeholders across the organization Inform strategy: Collaborate with product and business leaders to develop metrics and dashboards that support company objectives and key results (OKRs) Serve as a subject-matter expert: Provide guidance both to stakeholders on how to use data in decision making Be a technical mentor: Provide technical leadership to junior Data Analysts to help them deliver on projects and grow their skill sets What you’ll bring Expertise in exploratory data analysis: 5+ years experience manipulating data sets, navigating ambiguity, creating data visualizations and delivering insights that inform business decision making Fluency in SQL: can construct complex joins, filters and aggregations to appropriately answer questions of the data and advise on how data can be stored to support analyses Intermediate scripting: Experience using a scripting language (python, R, etc.) to perform analytical work, building toward python expertise Effective communication: Excellent communication and problem solving skills and ability to effectively collaborate with functional leadership across the organization Detail-oriented mindset: A strong attention to detail and a well-reasoned sense of skepticism toward the results of analyses
Lead Data Scientist	Thrive Market	ABOUT THRIVE MARKET Thrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification. Our Platform team is growing, this time, we are seeking to add a high-impact Lead Data Scientist to our Data Science team. This role responsible for leading a team of data scientists and overseeing data-driven projects within Thrive Market. You'll have the opportunity to build data science the way you think it's intended for our subscribers needs. At Thrive, we've created a transparent, data-centric environment from the beginning and we'll need your help applying algorithms, machine learning, AI, and other tools across our business; working cross-functionally with engineering, marketing, merchandising, and operations. All in efforts of unlocking our full potential! RESPONSIBILITIES: Provide leadership, guidance, and mentorship to a team of data scientists, including task assignment, project management, and performance evaluation Develop and implement advanced analytical models, algorithms, and statistical methods to extract insights and solve complex business problems. This includes data preprocessing, feature engineering, predictive modeling, machine learning, and deep learning techniques Collaborate with cross-functional teams, such as business executives, product managers, and engineers, to understand business goals and define data-driven strategies. Identify opportunities where data science can drive business value and provide recommendations to improve products, processes, and customer experiences Explore and analyze large volumes of structured and unstructured data to identify patterns, trends, and actionable insights Present findings to stakeholders using data visualization tools and techniques, making complex concepts understandable to non-technical audiences Stay up to date with the latest advancements in data science, machine learning, and artificial intelligence technologies Provide guidance and expertise in selecting appropriate tools, frameworks, and programming languages to support data science projects Foster a collaborative work environment, promoting effective communication and knowledge sharing within the team and across departments Effectively communicate complex technical concepts to non-technical stakeholders, enabling them to make informed decisions based on data insights Define project objectives, deliverables, and timelines; Monitor project progress, identify and mitigate risks, and ensure timely delivery of high-quality results Manage resource allocation and prioritize tasks to meet business objectives Encourage a culture of learning and innovation within the team Stay abreast of industry trends and emerging technologies, and drive the adoption of best practices to enhance the team's capabilities and overall performance Document methodologies, assumptions, and results of data science projects Prepare clear and concise reports and presentations summarizing findings, insights, and recommendations for various stakeholders, including senior management Convey concise and actionable stories through data to different stakeholders of the company Apply advanced analytical techniques to extract insights from large and complex datasets to drive business decisions and strategies QUALIFICATIONS: M.S. or Ph.D degree in statistics, computer science, operations research, computational physics, engineering, or related field At least 6+ years of data science experience in eCommerce, SaaS, or other digital based businesses Strong understanding of online advertising, A/B testing, cohort analysis, conversion optimization, customer segmentation, etc. Experience with supervised and unsupervised data mining algorithms like deep learning, support vector machines, boosting, LDA, and logistic regression, etc Proficiency in at least one high level programming language like Python / Java / C++.Experience with large scale data analysis in Spark, Pandas or Hive is a plus Experience using data visualization frameworks such as Matplotlib, Domo/Tableau or related programs is a plus Good critical thinking and problem solving skills Effective interpersonal and communication skills - we work cohesively and want to bring in folks who seek to drive unity Ability to independently lead and execute projects Curious, hungry, proactive, results-oriented, data-driven, and thrives in fast-paced, team-oriented environments BELONG TO A BETTER COMPANY: Comprehensive health benefits (medical, dental, vision, life and disability) Competitive salary (DOE) + equity 401k plan Flexible Paid Time Off Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences Stocked kitchen in our Thrive Market Home Office with Thrive Market products Dog-Friendly Office Yoga, meditation and other weekly events for mindfulness Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform Free Thrive Market membership and discount on private label products Casual atmosphere and great people to work with We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process. Feeling intimidated or hesitant about applying because you don’t meet every requirement? Studies prove that women and people of color are less likely to apply for jobs if they do not meet every single qualification. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we sincerely encourage you to apply anyways! As the great Los Angeles King Wayne Gretzky said, “You miss 100% of the shots you don’t take.” Take the shot! Thrive Market is an EOE/Veterans/Disabled/LGBTQ employer At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree! If you need assistance or accommodation due to a disability, please email us at [email protected] and we’ll be happy to assist you. Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com. © Thrive Market 2023 All rights reserved. JOB INFORMATION: Compensation Description - The base salary range for this position is $160,000 - $200,000/Per Year. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! #LI-DR1
Staff Data Scientist	Form Energy	Are you ready to rise to the challenge of climate change with the team that will deliver? Form Energy is a U.S. technology and manufacturing company that is developing and commercializing pioneering energy storage technologies to enable the electric grid to run on 100% renewable energy, every day of the year. Supported by leading investors such as Breakthrough Energy Ventures, ArcelorMittal, TPG Rise, MIT’s The Engine, and others, we share a common belief that low-cost, multi-day energy storage is the key to enable tomorrow’s zero carbon electric grid. Driven by our core values of humanity, excellence, and creativity, we are deeply motivated and inspired to create a better world. We need talented, hardworking individuals who share our goal of tackling the challenge of climate change. Do you want to work with us today to build a better tomorrow? Role Description The Analytics team within the Software & Analytics group at Form Energy is focused on powering Form's commercial and strategic decisions with analytics insight. We are seeking to hire two Staff Data Scientists to build our understanding of operational and performance requirements for our technology and how it can maximize our value in the future electricity system. In these roles, you will work either on battery operation or battery R&D data in collaboration with various teams in Form Energy, including our Software, Systems, Battery Product, Cell Development, and Product Management teams. Both Staff Data Scientist roles are new, part of a growing Software & Analytics group, and either role can be based remotely. This is an exciting opportunity to help shape and be part of a quickly growing and fast-moving company with breakthrough technology and an incredible mission! What You'll Do: Working closely with Battery Products, Cell Development, and other teams at Form to: Role 1: Build data-driven models to analyze and predict battery metrics critical to research and development undertaken by various teams at Form Energy Role 1: Maintain specific datasets to be used for analysis development/algorithm development/evaluation. Use data engineering best practices to enable seamless access to analysis products by various teams at Form Energy for analysis and monitoring of battery performance Role1: Lead meta-analysis of the vast cell test data being collected to understand drivers of cell performance, degradation mechanisms, and other cell operation characteristics Role 2: Using the vast dataset of battery operations under various scenarios run by the Analytics team, understand the range of operational requirements for our product along with the contributions of each of these operations to our battery value Role 2: Assess the battery performance data and help define and verify requirements of quality and reliability under various operational scenarios Role 2: Integrate system reliability modeling with grid reliability modeling Role 2: Build ML models for real-time forecasts unique to our technology for dispatch decisions Interface with stakeholders across the various teams at Form to define analysis goals, and execute and communicate results. What You'll Bring: Degree in Material Science, Mechanical Engineering, Electrical Engineering, Operations Research, or a related field. E.g., a B.S. with 7+ years of industry experience, or MS/MSE with plus three to five years of industry experience, or a Ph.D. with some industry experience Experience working with large datasets, knowledge of tools such as Python, Snowflake, SQL, or similar programming and database tools to perform complex analysis and data visualizations Role 1: Experience in semi-empirical model development, analysis of large datasets, building statistical and machine learning models, time-series analysis, familiarity with testing and validation of electrochemical systems ideally at a technology company in the battery sector or a combination of graduate schooling and experience Role 2: Experience in analysis of large datasets, building machine learning models for time-series forecasting, familiarity with battery operations ideally at a technology company in the power sector, or a combination of graduate schooling and experience. Excellent communication, organizational, and collaboration skills with the ability to convey information and content easily and effectively to stakeholders and customers Passion for our mission, sustainability, and climate change The California salary range for this role is $189,165 - $233,345. The Massachusetts salary range for this role is $180,940 - $223,200. The Pennsylvania salary range for this role is $164,490 - $202,910. The range listed is what we reasonably expect to pay for this role at the time of this posting. We may ultimately pay more or less than the posted range and may be modified in the future. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. #LI-DNI Besides joining a community of people working to make the world better, Form Energy commits to you equitable compensation, stock options, and offers a generous benefits package to make sure you have the support you need to thrive. We cover 100% of employee premiums and 80% of dependent premiums for medical, dental, and vision insurance for full time employees. We offer a flexible Paid Time Off program and every employee, regardless of gender identity or expression, is eligible for 12 weeks of paid parental bonding leave. A full listing of our benefits is available on our careers page. At Form Energy, we are working toward a 100% renewable energy future for everyone in the world. We are committed to creating an inclusive environment for all our employees and are seeking to build a team that reflects the diversity of the people we hope to serve with our revolutionary products. Form Energy is proud to be an equal opportunity employer.
Senior Data Scientist	Gopro	Location: Remote USA. This role can be performed anywhere from the United States. The Role On this team you are going to be responsible for supporting tactical, operational, and strategic business choices by delivering relevant reactive and proactive insights to key stakeholders. The primary stakeholders you will support include Marketing, Product, and Finance stakeholders. This role has high visibility and will regularly interact with and inform Executive level leadership. What You Will Do Drive a deep and holistic understanding of our users through applying a mix of machine learning, statistics, and analytics skills Use data to track, understand, and improve marketing, product, and user performance and translate that into strategic insights and recommendations Provide strategic and analytical support to product and marketing stakeholders with topics/questions such as CLTV, conversion metrics, retention metrics, engagement metrics, etc. Conceptualize and build data models, tools, and dashboards that enable stakeholders to access data and draw insights in a self-serve manner Skills We’re Excited About 3+ years of data science experience Master's degree in Data Science, Statistics, or related field Ability to partner with product managers to define product roadmaps Strong applied analytics and problem-solving skills in the fields of product and/or marketing analytics Experience working with large datasets, modeling, statistics, A/B & multivariate testing Proficiency with SQL and Python, and R Bonus Points For Experience creating and maintaining Plotly Dash dashboards Developing machine learning models and moving them into production Why Work With Us? Create your own destiny. GoPro enables you and trusts you to get your own job done, because we believe that autonomy in role brings out the best in our employees. Live your best life. We’ve adopted remote and flexible work arrangements to support work at GoPro alongside our commitment to supporting employee wellbeing, belonging and connection with one another. Work with leading edge technologies. We encourage employees to cultivate and use the latest and greatest technology, to provide the best solutions to serve our customers. We celebrate creative solutions that bring innovation to GoPro technology. GoPro Highlights Get your very own GoPro camera + gear Medical, dental, and vision insurance – premiums are 100% paid for employees, 90% paid for dependents Life insurance and disability benefits Generous time off policy 12 weeks paid parental leave for new parents Pre-tax and Roth 401(k) options Discounted employee stock purchase plan (ESPP) LiveHealthy monthly wellness reimbursement Innovative remote-friendly wellness classes and events Flexible work arrangements Professional + personal development opportunities, i.e. LinkedIn Learning, technology trainings, certifications, Peer-to-Peer learning, conferences and more Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events) We strive for the day that no group can be described as underrepresented at GoPro – whether as part of our brand or in our workforce. We are committed to providing a more inclusive, representative, equal, just, and happy world. GoPro is proud to be an Equal Opportunity Employer. The pay range for this role is between $119,000 - $195,000. Actual pay within the range is dependent on multiple factors, including your residence location and prior work experience. Equity, benefits, and a discretionary bonus may be additional forms of compensation for this role and are not included in the provided pay range. #LI-Remote #flexible
Sr Data Scientist Deep Learning	Elementus	About Us Elementus is a data-first pioneer on a mission to build best-in-class software solutions to help organizations of all sizes navigate web3 safely with confidence and success. Whether you’re interested in building a crypto strategy, identifying risk, or discovering valuable market intelligence, our platform provides the most complete data set and sophisticated attribution capabilities on the market, resulting in the actionable insights companies need to grow and prosper safely in a web3 world. Overview We're seeking a highly motivated and talented Data Scientist with a strong focus on Machine Learning to join our team. As a Data Scientist focussed on blockchain data, you will play a critical role in developing innovative data analysis techniques, and leveraging machine learning algorithms to derive valuable insights. The ideal candidate should possess a solid foundation in statistics, programming, and data analysis, coupled with a deep understanding of various machine learning algorithms and techniques. If you are passionate about solving real-world problems using data-driven approaches and have a proven track record of applying machine learning to derive meaningful insights, we would love to hear from you. Responsibilities • Proactively identify opportunities where data can enhance our understanding of Blockchain. • Develop and optimize deep learning models to support the core of our data science processes around clustering and entity attributions. • Collaborate with engineering, product and business teams to identify problems and formulate data-driven solutions • Analyze large, complex blockchain datasets to identify patterns, trends, and insights that can be leveraged to drive decision-making • Develop, implement, and deploy machine learning models to solve business problems, leveraging algorithms such as regression, classification, clustering, and deep learning • Conduct exploratory data analysis, feature engineering, and data preprocessing to prepare datasets for model training and validation Requirements • Have ideally at least 7+ years of experience • Degree in a technical or quantitative discipline, such as Engineering, Computer Science, Statistics, Mathematics or related fields • Strong problem-solving skills with the ability to think creatively and develop innovative solutions. • Strong understanding of machine learning algorithms and techniques, such as regression, classification, clustering, natural language processing, deep learning, and reinforcement learning • Proficiency in programming languages commonly used in data science, such as Python or R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Apache Spark) Stand Apart By Demonstrating the following: • Knowledge of blockchain, smart contracts, or decentralized finance (DeFi) • Resourcefulness in finding data sources and gathering data • Proactivity in identifying problems, asking the right questions and independently driving to solutions • Versatility in attacking problems with different tools and from various angles $175,000 - $225,000 a year Compensation The base salary pay range for this position is $175,000-$225,000 annually. Base salary may vary depending on market location, job-related knowledge, skills, and experience. A sign-on bonus and stock options may be provided as part of the total compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Elementus internal or external careers site. Perks • Medical, Dental & Vision Insurance Coverage • Life Insurance • Unlimited PTO • Paternal Leave • Flexible Work Schedule • 9 Paid Holidays • WFH Stipend to support your home office needs • Sick Leave EEO Statement Elementus is an equal opportunity employer and we’re proud of our ongoing efforts to foster diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Elementus are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristics protected by applicable law.Elementus aims to provide reasonable accommodations for applications with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an email to [email protected] with your specific accommodation request. By submitting your application, you agree that Elementus may collect your personal data.
Senior Data Scientist Nlp	Lightcast	As a Senior NLP Data Scientist at Lightcast, you will be at the forefront of developing and implementing advanced natural language processing (NLP) algorithms and models to extract valuable information from large volumes of text data. You will be critical in driving innovation and differentiated capabilities in our workforce intelligence solutions by leveraging your deep expertise in NLP, machine learning, and statistical modeling. Your work will help us improve our products and deliver actionable insights to our clients. Major Responsibilities: Develop and implement advanced NLP algorithms and models to extract information from diverse text data sources, such as job postings and resumes, focusing on accuracy and performance optimization. Build and fine-tune machine learning models, including pre-trained language models like BERT, GPT-2, and Transformer-XL, using frameworks such as PyTorch or TensorFlow. Conduct research and stay up-to-date with emerging trends and technologies in NLP, machine learning, and related fields, bringing innovative solutions to address complex challenges. Collaborate closely with data scientists, analysts, and business stakeholders to define project objectives, requirements, and deliverables, ensuring alignment with business goals. Effectively communicate complex technical concepts to technical and non-technical stakeholders, presenting findings and insights clearly, concisely, and compellingly. Mentor and guide junior data scientists, fostering their professional growth and promoting a culture of continuous learning and development. Contribute to advancing the organization’s data science capabilities by sharing knowledge, best practices, and insights with the broader team. Skills & Abilities: Advanced knowledge of natural language processing (NLP) techniques, including text mining, text analysis, information extraction, and sentiment analysis. Strong understanding of machine learning algorithms and statistical models, with experience implementing and fine-tuning pre-trained large language models. Proficiency in the Python data science ecosystem, including Pandas, NumPy, spaCy, sci-kit-learn, NLTK, and Gensim. Ability to stay current with emerging trends and technologies in NLP, machine learning, and related fields, applying innovative approaches to solve complex problems. Excellent problem-solving skills, creativity, and the ability to design new and effective solutions when no suitable approaches are available. Strong analytical mindset with the ability to handle and analyze large volumes of text data and derive actionable insights. Education & Experience: A graduate degree (M.S. or Ph.D.) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field. Minimum of 5 years of industry experience in developing and implementing NLP algorithms and models, focusing on text mining and analysis. Proven track record of utilizing machine learning algorithms and statistical models to extract valuable insights from large datasets. Experience with contemporary machine learning and NLP frameworks and designing and building scalable pipelines for analyzing text data. About Lightcast: 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-SS1
Senior Data Scientist	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. We’re looking for a Senior Data Scientist to join the pricing team for 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 launch new pricing and conversion ML models 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 workflows 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: Competitive salary with bonuses Flexible schedule based on core hours and the possibility of working remotely Private health insurance Life insurance Optical complement for glasses or contact lenses Company sponsored lunch English/Spanish lessons and/or other investments in your professional development Gym membership Transportation reimbursement Healthy snacks, and coffee in our cool office in the center of Barcelona 23 days of paid time off per year 15 paid holidays per year Team building events 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.
Data Scientist	Typeform	Hi! Before diving into the job details, let's give you some context on who we are and what to expect when joining the team. Typeform, launched in 2012 in Barcelona, drives more than 500 million digital interactions per year and integrates with hundreds of other business-critical tools. We’re expanding from a small Barcelona-based business to a truly international and remote company. We’re hiring talent across Spain, the United States, the United Kingdom, Germany, Colombia, France, Ireland, the Netherlands and Portugal. Be aware, the location is to be subjected to change, depending on the role. Our vision is a world of more personal business relationships. Through our no-code Saas platform, we believe we can create that world by living our mission: To bring people closer with better conversations. We turn digital interactions into human connections, by offering people-friendly forms, quizzes, surveys, and asynchronous video solutions. To do so, we look for people who are curious, ready to own their objectives, and passionate about taking organisations to their next chapter. But we are aware it’s not for everyone, our environment is perfect for those willing to become a change agent and roll up their sleeves to build our rocket ship. About the Team You will be joining the Data Science team in the Data and Insights division at Typeform. As part of this team, you will report to the "Head of Data Science" and collaborate closely with a team consisting of 3 data scientists, 1 machine learning engineer, and 1 manager. Currently, the team comprises 2 data scientists and a manager, but it is designed to have a total of five members, including the new positions. With the addition of an extra data scientist and an additional machine learning engineer, the team will achieve its intended composition of 3 data scientists, 1 machine learning engineer, and 1 manager. The team is located in the EMEA region. As a data scientist in this team, your primary focus will be on solving complex data-related problems and challenges. You will analyze large datasets, derive insights, build predictive models, and create data-driven solutions to improve various aspects of Typeform's products, services, and operations. About the Role The role of a data scientist will primarily solve complex data-related problems and challenges. This includes tasks such as analyzing large datasets, deriving insights, building predictive models, and creating data-driven solutions to improve various aspects of Typeform's products, services, and operations. The strategic purpose is to leverage data as a strategic asset for the organization. By applying advanced analytics and machine learning techniques, the DS helps drive strategic decision-making, identify trends and patterns, uncover business opportunities, and optimize processes across different functions. Things you will do: Collaborate with cross-functional teams to understand and translate business objectives into data-driven solutions. Work on specific projects and initiatives to improve user engagement, personalization, conversion rates, or operational efficiency. Utilize data analysis, modeling, and experimentation techniques to drive insights and deliver tangible outcomes. Collaborate closely with a machine learning engineer to leverage their support and expertise. Conduct thorough data analysis to identify patterns, trends, and opportunities for optimization. Develop and implement statistical models and machine learning algorithms to extract valuable insights from data. Design and execute experiments to test hypotheses and validate proposed solutions. Generate actionable recommendations based on data findings and insights. Communicate results and recommendations to stakeholders effectively, both verbally and through data visualization. Continuously monitor and evaluate the performance of data-driven solutions and iterate as needed to ensure ongoing improvement. Stay up-to-date with the latest advancements in data science and machine learning to bring innovative approaches to problem-solving. What you already bring to the table: Statistical Analysis: Proficiency in statistical techniques, hypothesis testing, regression analysis, and experimental design to extract insights from data. Machine Learning: Strong understanding and practical experience with machine learning algorithms, including classification, regression, clustering, dimensionality reduction, and ensemble methods. Data Manipulation and Cleaning: Expertise in data preprocessing, cleaning, and transforming techniques to ensure data quality and integrity. Programming Languages: Proficiency in programming languages such as Python for data manipulation, analysis, and model implementation. Data Visualization: Ability to effectively communicate insights through data visualization techniques. SQL and Database Knowledge: Familiarity with querying databases using SQL and understanding relational database concepts. Data Mining and Exploration: Competence in exploratory data analysis (EDA), data mining techniques, and feature engineering to uncover patterns and hidden insights in data. Experimental Design: Understanding of experimental design principles to design and conduct controlled experiments or A/B tests for data analysis. Software and Tools: Proficiency in using data science libraries and frameworks like NumPy, Pandas, or scikit-learn, for efficient data analysis and model development. Big Data and Cloud Computing: Familiarity with big data frameworks like Spark and cloud platforms like AWS for handling large-scale datasets Extra awesome: Natural Language Processing (NLP): Knowledge of NLP techniques for text analysis, sentiment analysis, language modeling, or chatbot development. Deep Learning: Experience with deep learning architectures, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and related frameworks like Keras or TensorFlow. Time Series Analysis: Proficiency in analyzing and forecasting time series data using methods like ARIMA, SARIMA, or LSTM. Unsupervised Learning: Familiarity with unsupervised learning techniques like clustering, anomaly detection, or association rule mining. Natural Language Generation (NLG): Proficiency in generating human-like language output from data using NLG techniques. *Typeform drives hundreds of millions of interactions per year, powering conversational, human-led experiences all over the world. We are proud to be an equal-opportunity employer. We celebrate diversity and do not tolerate discrimination and harassment of any kind, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We believe that by celebrating our differences, we can win together.
Data Scientist Pricing Analytics Fintech	Hopper	THE ROLE: Leveraging data to solve customer problems is in Hopper’s DNA. While this began with helping customers save money by booking at the best time with our Price Prediction tool, we’ve also used data to build a suite of novel Fintech products that help customers save money while traveling. You will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate common travel headaches (like flight delays, cancellations, or price anxiety), and ultimately get where they want to be. This role will touch all of Hopper’s fintech products but focus on our Flexibility (including Cancel for Any Reason, Change for Any Reason, and Leave for Any Reason) and Price Freeze products. This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of Hopper's most innovative teams, and get access to fascinating and massive market and behavioral data sets. It’s a huge personal growth opportunity, and includes high potential upside of pre-IPO stock options. In this role you will be part of a cross-functional team of product managers, data scientists, and engineers who work closely together to make travel easier and reach millions of users in the process. Responsibilities include: - Initiate, develop, and maintain data pipelines that power our decision making - Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them - Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mis-priced and deploy scalable solutions to correct pricing models - Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience - Find new opportunities for revenue growth by becoming the expert on our data and customers - Deliver all of the above within the Hopper app as well as on other distribution channels–the reach of this role is huge We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. An ideal candidate has: A proven track record of solving complex problems with in depth understanding of data, product and business impact High attention to detail and ability to create scalable data solutions Strong creative problem-solving skills and critical thinking competencies Designed, implemented, and deployed pricing models into production using modern technologies (e.g. Docker, Kubernetes, Google Cloud Platform, etc) Fluency in using SQL for data creation, maintenance and analysis High proficiency in at least one programming language (preferably Python) Experience with data visualization tools (Tableau, Amplitude, Big Query) Worked on a consumer product and has shipped high impact models at scale Strong experience, knowledge of, and/or keen interest in Fintech, Insurtech, or risk-based products Perks of working with us: Competitive salary commensurate with candidate’s relevant qualifications, knowledge, skills and work experience. Total compensation may also include equity (options / RSUs), sign-on bonus and other potential incentives Unlimited PTO WeWork All Access Pass OR Work-from-home stipend Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams = massive impact 100% employer paid medical, dental, vision, disability and life insurance plans Access to a 401k #posttoexternal MORE ABOUT HOPPER At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally. Here are just a few stats that demonstrate the company’s recent growth: - Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year. - The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue. - Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, - Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. - Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month. - Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. Come take off with us!
Data Scientist	Wurl	About Wurl, LLC. Wurl is a global streaming network. Our B2B services provide streamers, content companies, and advertisers with a powerful, integrated network to distribute and monetize streaming television reaching hundreds of million of connected televisions in over 50 countries. This year Wurl was acquired by AppLovin (Nasdaq: APP), an industry-leading mobile marketing ad tech company, bringing together the technology and innovation of the mobile and television industries. With the merger, Wurl employees enjoy the best of both worlds: the dynamic environment of a 160+ person start-up and the stability of a high-growth public tech company. Wurl is a fully-remote company that has been recognized for the second year in a row as a Great Place to Work. Wurl invests in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. We hire the world’s best to build a bunch of cool stuff on an interface fully integrated with their own from streaming, advertising and software technology to continue to help us disrupt the way the world watches television. Data Scientist - Remote Wurl is seeking an experienced, detail-oriented Data Scientist who will support our product, sales, leadership, and marketing teams with insights gained from analyzing company data. Wurl’s position in the video and ad delivery ecosystem enables detailed performance and behavioral measurement. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations and predictions. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The ideal candidate is experienced with Big data, ML processes, SQL, python, Agile processes, microservice architectures, SaaS concepts. Experience with OTT video, ad insertion processes, JIRA, Confluence, DataDog, Snowflake, AWS, and DataBricks is advantageous but not mandatory. What you'll do: Contributing to Wurl’s understanding of our data Contributing to data processing and machine learning initiatives Identifying quality metrics and data features Building data models and prediction models Contributing to Wurl’s ML frameworks: research models Participating in the evolution of Wurl’s data management and analysis framework Creating solutions that are practical and can be applied to business applications Using probability, statistics, predictive modeling, machine learning, or other quantitative methodologies to solve real-world TV delivery and advertisement problems. Qualifications: PhD in Computer Science, Mathematics, Physics or relative field plus 2 years of relevant experience OR Master’s degree in Computer Science, Mathematics, Physics or relative field plus 4 years of relevant experience Expert programming skills with Python and SQL Knowledge of Spark/PySpark Strong mathematical background and knowledge including but not limited to statistics, predictive modeling, linear algebra, machine learning Experience with AI, including building ML models using frameworks such as TensorFlow, PyTorch, SparkML, scikit-learn. Knowledge of fundamental NLP concepts and updated with the state-of-the-art NLP models Data pre-processing, visualization and data cleansing experience Experience dealing with big datasets and databases Effective communication skills Works well in a team and independently Soft skills: creative, innovative, open to receiving and giving constructive criticism, open to discussions, trustworthy and reliable Proven record of being an outstanding problem-solver Location: US remote. Pluses: Advanced proficiency with data visualization tools (such as Tableau, Power BI, Domo) Knowledge Snowflake, Databricks and Git Experience with SaaS offerings: AWS preferred. Containerization, serverless processes, microservice architectures, etc. Experience with OTT streaming formats (HLS, DASH), SSAI Publications in a peer reviewed journals What We Offer Competitive Salary & Equity Strong Medical, Dental and Vision Benefits, 90% paid by Wurl Remote first policy Flexible Time Off 12 US Holidays 401(k) Matching Pre-Tax Savings Plans, HSA & FSA Ginger, Aaptiv and Headspace subscriptions for mental and physical wellness OneMedical subscription for 24/7 convenient medical care Paid Maternity and Parental Leave for all family additions Discounted PetPlan and easy at home access to Covid testing with empowerDX $1k Work From Home Stipend to set up your Office Few companies allow you to thrive like you will at Wurl. You will have the opportunity to collaborate with the industry’s brightest minds and most innovative thinkers. You will enjoy ongoing mentorship, team collaboration and you will understand what we mean by ‘human connection”. You will be proud to say you're a part of the company revolutionizing TV. Wurl provides a competitive total compensation package with a pay for performance rewards approach. The expected base pay range for this [CA based or North America based] position is $121,000 - $196,000. Base compensation at Wurl is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.
Senior Data Scientist Web Security	Cloudflare	The Team Our team's mission is to create advanced security solutions that enable our customers to filter out unwanted internet traffic. We achieve this by harnessing the vast amount of internet traffic data available to us and deriving deep, insightful analytics through the application of advanced machine learning techniques. Our focus is on developing machine learning models that can operate at a high volume and velocity with exceptional precision, performance, and scalability. One of our key challenges is creating and deploying models that can withstand a massive scale of 65 million peak requests per second. Our flagship Machine Learning products, WAF Attack Score and Page Shield ML, represent cutting-edge examples of our work in this space. The team works in close collaboration with Product Managers, Software Engineers and others to collaboratively ship industry leading ML solutions. The core values to the team include empathy, resiliency, collaboration and ownership. The team measures their success on positive customer feedback, adoption and sustainability of our products. The Role We are currently seeking a highly experienced Senior Data Scientist with prior experience in Natural Language Processing (NLP) to join our Application Security team. In this role, you will work closely with our security experts to develop innovative solutions that leverage NLP to improve our security capabilities. This hands-on position will be responsible for development and deployment of highly scalable Machine Learning models from the ground up. As a key member of our team, you will have the opportunity to work on cutting-edge projects that require advanced NLP techniques, and to collaborate with other highly skilled professionals to deliver outstanding results. Our ideal candidate will have a strong background in developing high-performance, enterprise-scale services and a proven track record of delivering exceptional performance while maintaining operational stability. As a high-visibility position, success in this role will depend on your ability to effectively combine your data and modeling skills with your security acumen. What you will do Collaborate with product managers, data engineers, machine learning engineers, and other stakeholders to define clear business objectives for Machine Learning products. Conduct thorough literature reviews to identify current solutions and gaps, and conduct exploratory analysis to generate hypotheses and corresponding creative ML solutions to address these gaps. Lead the design, implementation, and training of statistical, machine learning, and deep learning models, and apply software engineering best practices to publish model scores, insights, and learnings at scale throughout the organization. Continuously evaluate and improve the accuracy and performance of existing models. Integrate the learnings from the evaluation to improve model performance. Write comprehensive documentation that focuses on key takeaways in a clear and concise manner for both technical and non-technical audiences. Develop a deep understanding of the data landscape, including tooling, tech stack, and source systems, and work closely with data engineers and machine learning engineers to improve data collection and quality. Align analysis efforts with the business/product strategy and high-level roadmap to enable data insights that support strategic goals. Demonstrate the ability to identify macro and micro-level trends with statistical significance on a regular basis and understand the key drivers behind those trends. Examples of desirable skills, knowledge and experience Minimum 5 years of Data Science experience with proven industry experience in a large scale environment (PBs scale, globally distributed teams). Proficient in Python and R for commercial software development, and experience working with databases like Postgres. Excellent data analytical skills and ability to derive insights and propose models that lead to effective proof-of-concept (POC) development. Ability to work closely with cross-functional teams including business, engineering, and product teams to ensure data initiatives are aligned with business objectives. Strong communication and presentation skills catered to different audiences within the company. Proven track record of applying data insights and machine learning in order to address business needs and drive revenue. Demonstrated ability to deliver results while taking feedback and maintaining a collaborative work environment. Proven ability to deliver performance (what) with the right behaviors (how) Bonus Points Previous experience in developing efficient Machine Learning models with low latency (sub-millisecond) in a commercial setting Proven experience in Natural Language Processing (NLP) in a commercial environment Prior experience in Machine Learning for Web Security in a commercial setting
Global Senior Data Scientist	Kellogg S	A hybrid working schedule, gr-r-reat benefits package, and the opportunity to contribute to a global team - a perfect recipe for your next job! We’re looking for a GLOBAL SENIOR DATA SCIENTIST in MANCHETSER. Will it be you? The global data science team is embarking on an exciting journey to harness and enhance our decision-making capability to maximise growth across our trusted brands. By building strong business relations, this role will require you to build contextual knowledge with our stakeholders to enable delivery of advanced statistical modelling and decision support tools that drive business value. Your role will be based in our MEDIA CITY office on a hybrid work schedule with some internationally travel will be required. WHAT WE OFFER 25 Days Holiday plus 8 Bank Holidays Annual bonus circa 13% based on performance. Annual car allowance Market leading pension Family health cover HERE’S A TASTE OF WHAT YOU’LL BE DOING Lead and execute global data science initiatives by developing impactful business scenarios and collaborating with stakeholders to identify requirements and expected outcomes. Iteratively validate findings by working closely with the business, providing both technical and business-friendly explanations. Identify relevant data from diverse internal and external sources, extracting meaningful patterns to drive actionable business insights. Lead a team in proposing and developing advanced analytical solutions that employ the appropriate algorithms to discover patterns in multi-dimensional data. Drive the development of optimised decision models accounting for uncertainty through probabilistic or other methods and validate where possible these results using existing problem instances or in-market experiments. Conduct research to provide recommendations on big data infrastructure, database technologies, and contribute thought leadership in various business domains by proposing relevant and simplifying complex paradigms. YOUR RECIPE FOR SUCCESS Degree / MSc in Computer Science, Statistics, Mathematics, operations research, or a similar related field Programming experience in Python/ R or other Proven ability to operate in a fast-paced organisation on technical projects that may be outside of your area of expertise. Support the team to design and develop scalable data science solutions using appropriate statistical or machine learning applications. Experience of applying these across functions such as RGM, Supply Chain, R&D or Brand Building/Marketing, manufacturing would be advantageous. Demonstratable experience in data mining with advanced predictive modelling with a proven track record in advanced statistical design and analysis, decision-based optimisation or advanced forecasting techniques. A proven track record of leading a small team of data scientists. Ability to communicate complex technical concepts to different audiences across the team, business partners, external stakeholders etc. WHAT’S NEXT After you apply, your application/CV will be reviewed by a real recruiter. This means it could take us a little while to get back to you so watch your inbox for updates. In the meantime, visit our How We Hire page to get insights into our hiring process and how to best prepare for a Kellogg interview. If we can help you with a reasonable accommodation throughout the application or hiring process, please email [email protected]. This role takes part in Locate for Your Day, Kellogg’s hybrid way of working that empowers office-based employees to, in partnership with their managers, find a balance between working from home and the office. ABOUT KELLOGG COMPANY Kellogg Company is a multibillion-dollar company with over 30 thousand employees all over the globe. We’re proud of our rich and vibrant history and our iconic brands – foods that you grew up with like Crunchy Nut, Corn Flakes, Special K, as well as innovative foods such as Pringles and Pop-Tarts. Today, remaining relevant in an ever-changing world requires a culture of innovation and inclusion, and an appetite for challenging the norm. At Kellogg, you’ll find this is in our DNA. We’re proud to say we’ve been awarded Fortune’s “World’s Most Admired Companies”, DiversityInc’s “Top 50 Companies for Diversity”, Newsweek’s “Most Loved Workplaces”, and many more awards that you can check out here. To become part of our story requires a commitment to a team that demands the best you’ve got to give. In return, you get to make a meaningful contribution towards how we shape the future, ensuring better days for our planet, our people and our communities. We strive to create a world where people are not just fed but fulfilled and a workplace where everyone is empowered to be their true selves. We’re results oriented and we ask you to live up to the best you can be. This means you’ll be excited and afraid of the opportunities all around you in equal measure. We’re passionate and incredibly proud of our inclusive culture that balances understanding, accountability and challenge at every step of your journey, for as far as you want to progress. It’s the challenge of a high-performance culture combined with a team first mentality that drives us all forward and brings us closer together. We can be tough, but we’re always kind. We’re at our best when we push each other to become better, recognising and rewarding gr-r-reatness along the way. Equity, Diversity, and Inclusion have been part of our DNA since the beginning. Clearly stated in our Code of Ethics “we have respect for individuals of all backgrounds, capabilities, and opinions.” We believe that equity is more than leveling the playing field. It is making sure barriers, both tangible and intangible, are removed. We’re a foundation member of the Leading Executives Advancing Diversity (LEAD) Network, dedicated to meaningfully accelerating gender parity and driving inclusion in the European retail & Fasting-Moving Consumer Goods value chain. We’re proud that we’ve reached 50:50 gender parity for all leadership roles ahead of our 2025 target. There’s a seat for everyone at our table. It’s up to you to make yours count. So, Make It Happen Kellogg Recruitment
Senior Ml Data Scientist	Rumble	What will you do: Rumble is seeking an experienced Senior ML Data Scientist who will be responsible for setting requirements for data collection, preprocessing, analyzing large amounts of data, building models and/or building algorithms capable of learning and predicting future data points. In this key role you will be responsible for: Analyze large amounts of data to discover trends and patterns. Identify valuable data sources and set requirements for implementation. Undertake preprocessing of structured and unstructured data. Build predictive models and machine-learning algorithms. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Training and retraining ML systems and models as needed. Use predictive modeling to increase and optimize solutions as needed. Other duties, as assigned. Required Qualifications: 2+ years of experience of building machine learning models for business application Algorithm and model development experience for large-scale applications Significant experience using one or more of the following languages Python, Java, or C++ Extensive knowledge and practical experience in deep neural networks and other recommendation systems, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), residual neural networks and collaborative filtering techniques. Strong fundamentals in problem solving, algorithm design and complexity analysis. Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts. Preferred Qualification: Some experience contributing, working with, or maintaining open-source projects. Experience working on and performing some administrative tasks on Linux. Desired Qualification: Significant peer reviewed scientific contributions in premier journals and conferences are a plus. Experience working with any or all of the following: SQL, Kafka and Redis Understanding of network concepts Working experience with video a plus
Data Scientist Marketing Analytics	Etsy	Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Job Description What's the Role? We are looking for a Data Scientist to join our Marketing Analytics team in Brooklyn! As a data scientist, you will be responsible for helping drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization. We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience. Do you find joy in using data to solve business problems and help teams drive their strategy forward? If so, this could be the perfect match. This is a full-time position reporting to the Manager, Analytics and the base salary range will be $104,000 - $136,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here. What does the day-to-day look like? Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentationDrive forward strategy for performance marketing partners by transforming raw data into meaningful and impactful analyses characterized by strong data governance, technique clarity, and clear documentationPlay a foundational role in deciding how we can best engage and grow Etsy users by determining and helping prioritize opportunities for growth through analysis of behavioral and transactional dataIdentify key metrics that drive the performance of marketing channels and marketing products, make these accessible to partners through dashboards and reports, and drive these metrics through statistical analyses of experimentsContinually evaluate and refine your technical toolkit, sharing what you learn with the teamOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualifications Qualities that will help you thrive in this role are: 2+ years of proven experience as a data scientist/analyst or in a quantitative role in which you extracted meaning from big data sets with little engineering supportExperience with performance/digital marketing operations, channel attribution, churn and lifetime value models, analytical tools and infrastructure, and finding efficient growth strategies a plusProficient in SQL and either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)Proven ability to communicate your insights verbally, visually, and in writing with teammates and business partnersComfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams workStrong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problemsPassionate about subjects such as experimental design, data visualization, and statistical analysis techniquesExperience with Looker, Tableau, or other data visualization software a plus Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
Senior Data Scientist Marketing Analytics	Etsy	Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Job Description What's the Role? We are looking for a Data Scientist to join our Marketing Analytics team in Brooklyn! The Marketing Analytics team helps drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization. We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience. Learning new skills and techniques is not only a requirement but a perk of the job. We are always looking for opportunities to improve. Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community. This is a full-time position reporting to the Manager, Analytics and the base salary range will be $130,000 - $168,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here. What does the day-to-day look like? Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation.Design and analyze rigorous experiments based on sound statistical theory, help teams set great hypotheses, and deliver robust analysis of experiment results.Drive forward strategy for performance marketing partners by transforming raw data into meaningful and impactful analyses characterized by strong data governance, technique clarity, and clear documentation.Play a foundational role in deciding how we can best engage and grow Etsy users by determining and helping prioritize opportunities for growth through analysis of behavioral and transactional data.Raise the skill level of the entire analytics team through the creation of exemplary work, mentorship, and the introduction of better practices, processes, and tools.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualifications Qualities that will help you thrive in this role are: 4+ years experience as a data scientist or data analyst in which you have extracted meaning from big data sets with little engineering support.You should have experience guiding and scaling marketing efforts and a deep understanding of marketing theory and practice, particularly for performance/growth marketing. This includes but is not limited to experience with measurement techniques, such as customer lifetime value, attribution models, marketing mix models, and experimental design. You have mastery of SQL (experience with BigQuery a plus), are proficient in R/Python and other scripting/automation techniques. You actively try new approaches to advance your technical skills. Bonus points for experience with Looker, Tableau, or other data visualization software.You are an expert in sophisticated analyses and have experience with advanced statistical methods (ex. Propensity Score Matching, Causal Impact, Regression Models).You are adept at communicating your insights, verbally, visually, and in writing to peers and leaders at all technical comprehension levels. You are able to distill complex findings into impactful recommendations.You are passionate about reproducible work and have picked up tools to this end; you have acted as a mentor, teaching others how to make their own work better and more efficient.Strong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problems. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. For U.S. roles only: Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
Senior Data Scientist	Trueml	Why TrueML? ¬† TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML‚Äôs approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. ¬† The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. The Opportunity: You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance. We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making and providing insights that contribute to our customers' experience. Your primary responsibilities will include leading projects independently, applying your business acumen to find the gaps in the system, and applying machine learning skills to solve them. This is an excellent opportunity for an individual who possesses a strong passion for leveraging data to solve complex business problems. What You'll Do: Independently lead end-to-end data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation. Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them. Work cross-functionally to identify high impact business needs and translate them into technical requirements Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics. Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes. What We're Looking For: Advanced degree in statistics, applied mathematics, computer science or equivalent preferred. A Master's or Ph.D. degree is preferred. Minimum 5+ years of data science experience, with focus in machine learning, with a track record of successfully leading and delivering complex data science projects Strong foundational skills: Python, pandas, SQL Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc) Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization. $140,000 - $168,000 a year Salary Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors. Benefits, Perks, and Culture ¬† - Everything you need to work remotely - Unlimited PTO - Medical/dental/vision insurance - 401k through Charles Schwab with employer contribution matches¬† - Flexible Spending Account & Limited FSA - Short + long term disability, company paid life insurance - Family-friendly maternity and paternity leave - Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more! - Wellness Coach for you and 5 family members. Wellness Coach gives all TrueML employees access to 3000+ on-demand sessions about meditations, fitness, nutrition, and more! - PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide. - Paid time off to do volunteer work in your community. ¬† We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you‚Äôre looking for an opportunity to do impactful work, join TrueAccord and make a difference. ¬† Our Dedication to Diversity & Inclusion ¬† TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For California Applicants: we collect personal information for employment purposes.¬†We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our¬†Privacy Policy.
Data Scientist Product Analytics	Evernote	About the team The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives. What you will do Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes Conduct analysis of feature usage and how we can improve the product Effectively communicate insights and recommendations to stakeholders Lead ongoing decisions concerning data collection, test/study design and data analyses Design and implement predictive models to improve engagement, conversion, and retention What you have done Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field 4+ years experience doing quantitative analysis Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL) Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau) Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting Ability to translate complex data into actionable insights for a non-technical audience Who you are Strong problem solving and analytical skills Driven self-starter with good attention to detail Willingness to learn new technologies, tools and approaches to problem solving Excellent communication and presentation skills Experience working within the tech sector preferred We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. California privacy notice: Read our privacy policy for job applicants at https://evernote.com/privacy/policy
Data Scientist	Ookla	At Ookla, our mission is to help make the internet better, faster and more accessible for everyone. Globally, millions of users perform tests across the Speedtest and Downdetector ecosystem each day, which allows us to track internet performance and outages in real time.We’re looking for a mid- to senior-level data scientist to join our unique and highly-collaborative team of analysts and data scientists. Your primary focus will be developing methodologies that describe mobile and fixed internet performance in new and meaningful ways that enable consumers, service providers, manufacturers, regulators, and more to understand their service and make informed decisions.For this role, a strong understanding of both inferential statistics and R are needed. Successful applicants will have an inquisitive nature, a creative approach to solving problems, excellent communication skills, and a strong drive for data advocacy. We’re especially interested in candidates who also have experience with broadband networking technologies, cloud computing, and developing reproducible software. We typically use tools like R, Redshift, Python, and Spark for our daily work.We are people first, employees second at Ookla, and we know there is no one perfect path to any job. If you’re excited about the work we’re doing and think you would offer a creative new perspective, please apply whether or not your experience matches the job description. We strongly believe diversity of all kinds makes us better. We are an equal opportunity employer actively working to build an inclusive workforce at all levels of the company. [Read our latest diversity report here].Responsibilities Lead development of metrics for describing internet quality of service and quality of experience and approaches for statistical testing Provide thoughtful analysis and data-driven support for teams throughout the company including data quality assurance, exploratory analysis, and data preparation or presentation Create internal tools, packages, and documentation Mentor teammates and help them develop new skill Dependable team player that enjoys learning from and teaching others Strong understanding of statistical inference and testing and experience applying statistical methods to real-world challenges Experience using and developing R (tidyverse) SQL expertise, and experience building complex queries against large data sets The ability to communicate and tell stories about data Proven history of exceptional customer service and advocacy Experience with internet, cellular, and broadband technology and infrastructure a plus People come first at Ookla. We offer competitive compensation, flexible schedules, transit passes, on- and off-site happy hours, team activities, lunch on Wednesdays and an office kitchen full of snacks. Our comprehensive benefits package includes 401(k) matching, unlimited paid vacation and sick time, ESPP options, health/dental insurance coverage and a stand-out parental leave. We make sure you have the best hardware, software and tools available for you to do your work, and we provide excellent flexibility for working remotely as time and responsibilities allow. Visit [our Built In Seattle page] for even more information.LocationThis is a remote/office based position which may be performed anywhere in the United States except for within the state of Colorado.
Head Of Data Science Analytics	Lokavant	About the Opportunity How often are you given the opportunity to build something from the ground up; 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. We are seeking a thoughtful, hands-on Data Science and Analytics (DSA) leader with an aptitude for clinical trial data to join the rapidly growing Lokavant team. The Head of DSA will manage and work alongside the DSA team and will be a member of Lokavant’s leadership team. Our platform is fully cloud-based and is being built around modern tools and frameworks in an incredibly fast-moving agile environment. As Lokavant’s Head of DSA you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research technology industry. We are specifically looking for functional managers, who will roll up their sleeves and work alongside their team members, developing and validating best-in-class predictive models to support our product strategy. Key Responsibilities Help the people who report to you grow and accomplish more by setting clear goals, providing direct feedback, managing project loads, and allocating resources accordingly, and ensuring deadlines are met Take an active role in defining the development roadmap and deliverables for the DSA team in an integrated agile product development process Drive the creation of departmental Objectives and Key Results (OKRs) for the DSA team, including representing the department at Lokavant’s Quarterly Strategic Planning meetings. Drive development and productization of end-to-end machine learning models Organize & resource the DSA team to ensure success across company objectives Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features Follow industry standard practices to implement, optimize, maintain, troubleshoot, and continuously improve the practices of the data science team Support creation and maintenance of the DSA stack, working closely with our DevOps and IT functions Enable effective working relationships across Product Management, Front-End Development, Development Operations, Commercial and Data Engineering Work with the Lokavant Commercial team to represent Lokavant data science capabilities to potential/existing clients and other third-parties Help recruit highly capable data scientists and analysts to the team from diverse backgrounds Mentor and be mentored by data scientists of varied experience levels and subject matter areas Minimum Requirements 3+ years relevant experience leading data science workstreams 5+ years relevant experience with data science Coding proficiency in Python, R, SQL Strong understanding of advanced statistical models and Machine Learning techniques Demonstrated ability with an ML toolkit Experience in managing data engineering ELT pipelines, including data mapping, warehousing, and architecture Experience working in an Agile software development environment Exceptional written and verbal communication skills Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills Proactive, self-motivated and self-directed, with the ability to learn quickly and autonomously Comfortable with ambiguity Superior problem-solving and troubleshooting skills Ability to work as part of a collaborative cross-functional team in a fast-paced environment Sincere interest in working at a rapidly changing start-up and scaling with the company as we grow Preferred (Nice-to-have) Qualifications Advanced degree (e.g. MBA, MSc, PhD, etc.) with strong academic performance in Statistics, Mathematics, Data Science, or equivalent field 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.)
Senior Data Scientist Safety Insights	Reddit	Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. The Trust & Safety Org (T&S) is one of Reddit’s biggest divisions, and Safety Insights works across the entire org to provide qualitative (user research) and quantitative (data science) insights for product development, scaled abuse detection/mitigation, threat intelligence, safety operations, security, and privacy. We unravel hard problems that cut across T&S domains, and guide product development to protect our users from bad experiences. In the Safety Insights team, we value asking who’s missing, surfacing the deeper questions, up-leveling our peers, and facilitating good conversations. Our job is tough, but the impact is huge. As a Senior Data Scientist on the Safety Insights team, you will inform strategic direction, facilitate data-supported decision-making, and identify ways to measure impact over time. You will work alongside some of the best Data Scientists, User Researchers and Product teams in the world. You will gain domain expertise in both safety enforcement and product development, and be part of key decisions both within and outside of Trust & Safety. What You’ll Do Identify actionable and impactful insights through metrics and analyses Partner with product teams to guide and assess our safety product development Partner with safety enforcement teams to guide and assess our enforcement strategies Be an end-to-end project owner from ideation to implementation and influence -- whatever that’s needed to create impact and carry out our mission Who You Might Be: 4+ years of data science and product analytics industry experience 2+ years of experience informing and influencing product or business decision-making Proficiency with relational database (e.g., SQL) Familiarity with statistical analysis and programming languages (e.g., Python, R) Motivated and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments. Ability to communicate and discuss complex topics with technical and non-technical audiences. Ability to tackle ambiguous and undefined problems
Senior Data Scientist	Verdigris	Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants. Extraordinary outcomes need exceptional teams. As a company we value working together and continuously growing. About you As a Senior Data Scientist, your mission is to bring insights to life. You will build robust, scalable, and efficient algorithms for reducing the energy footprint of buildings across the globe. You are a team-minded data scientist who will refine our tech stack, our engineering culture, mentor other engineers and impact our portfolio of mission-critical commercial buildings. Your primary responsibility is to produce robust and meaningful insights and automations for our customers, but also help scale a growing team. Your communication skills will allow you to convey information to your team members, sales, marketing, and other teams. Responsibilities You will mentor within a team of continuously improving engineers You will enhance our agile engineering practices and pairing culture You will research and develop novel IP and algorithms and help translate those into useful product features. You will work across teams with product managers and customer teams to build deep customer empathy and prioritize work that delivers meaningful customer outcomes. You will also assist in deploying algorithms you have created to a production environment. You’ll perform all necessary technical engineering skills to help meet the team and company goals. Required Qualifications You hold an advanced degree (BS or MS) in Computer Science, Software Engineering, Computer Engineering, Mathematics, Physics or equivalent You learn continuously and are passionate about applying what you know about data science and ML in real-world applications such as reducing energy usage in buildings across the globe. You have at least 4 years of full time industry experience and are an expert in data science You have led and mentored engineering teams You have engineered a full release cycle of a commercial product You can code in 1 or more functional languages, Python, and Javascript. You embrace paired programming, test driven development and continuous integration You listen actively and build consensus You empathize strongly with customer problems You can communicate complex concepts simply Nice to Haves You are experienced in our Machine Learning Stack (Pandas, Tensorflow, Keras, Numpy, Scikitlearn, Python, Scython, Pytorch) You are experienced in cloud computing environments like AWS, Docker, Kubernetes, Terraform. You understand SQL and relational database architectures and tradeoffs (PostgreSQL, MySQL, MSSQL, etc.) You’ve built and deployed production level machine learning and software at scale. We invite you to include your GitHub/BitBucket/GitLab account, any blogs or websites you maintain, and any software projects you worked on that you're proud of with your submission. Applying to Verdigris is a chance to make an impact by joining a mission-driven startup. We’re aggressively innovating for the energy management industry hoping to affect climate change. Verdigrisians aim to be ego-free authorities in our fields. We take our work seriously and strive for an opportunity-filled environment supportive of curious minds. You can expect thoughtful, hardworking and funny teammates. When we are not sheltering-in-place, you can usually find someone to tour our historic NASA campus or make empanadas from scratch. We value differing perspectives and embrace candid, direct, and constant feedback. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, origin, gender, orientation, age, or status.
Data Scientist Market Intelligence	Wish	Company Description Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market. We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place. Job Description We are looking for a Data Scientist who will work cross-functionally with technical and non-technical teams to mine internal and external semi-structured data to understand consumer demand in individual markets, drive sales through feed optimization, influence supply, design and deploy long-term merchandising strategies. The ideal candidate should be passionate about Wish and e-commerce, be able to conduct market research independently, has a strong analytical and consultative mindset, solid understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling data-driven solution to solve business problems. What you'll be doing: Conduct quantitative market research for each market, by analyzing external e-commerce web data, understand regional consumer demand, through various text and image mining techniquesAnalyze and generate insights on internal pricing dynamics on the platformIdentify high potential but underexposed product candidates, propose strategies to increase their exposure and boost salesImplement the strategies and set up A/B test experiments to gauge the impact, and reiterateEstablish scalable, efficient, and automated processes for data-driven regional merchandising strategies Qualifications Bachelor's or advanced degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Economics or similar)Hands-on experience in predictive modeling and analysisComfortable with Python, R, or Matlab experienceHands-on experience writing complex SQL queries using MySQLExperience with Tableau, Superset or other visualization toolsExperience with Unix/Linux environment Preferred Qualifications: Experience in e-commerce companies working on mining product listing dataHands-on experience in deep-learning models that involve text and image matchingExperience in designing and running A/B testsAnalytical mindset and ability to see the big picture and influence othersDetail-oriented and must have an aptitude for solving unstructured problemsAbility to work effectively in a multi-task, cross-functional, and high volume environmentAbility to be adaptable and flexible in responding to deadlines and workflow fluctuations #LI-BD1 Additional Information Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Individuals applying for positions at Wish, including California residents, can see our privacy policy here.
Sr Data Scientist Quantitative Research	Wish	Company Description Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market. We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place. Job Description The Buyer Risk team at Wish has an opportunity for experienced Data Scientists in Quantitative Research in San Francisco. The role entails driving analytics insights and enabling senior leadership to make effective, analytically driven decisions, in particular areas of fraud risk and financial efficiency. The ideal candidate should be passionate about Wish and e-commerce, has a strong analytical and consultative mindset, deep understanding of databases and data visualization, the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling operations through automation.What you'll be doing: Conduct insightful analysis using internal and external data (e.g. revenue, customer, merchant) to gain insights that will drive tactical and strategical business decisions.Proactively watch for signs of trouble, articulate with data, and make hot fixes before long term solutions can be deliveredConceptualize and build centralized tools (including pipelines) that can extract data/insights for daily business management in an automated manner.Develop dashboards and visualizations for the business stakeholders and maintain the integrity of the reports. Streamline and automate dashboards / reporting / pipelinesProcess a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.Conduct deep dive for root cause analysis and causal inferenceOwn foundation work that enables others and other teamsOwn the end to end data -> insights -> actions -> feedback closed loopWork effectively with cross-functional teams globally, assimilating requirements, driving results in the form of data insights and being liaison between engineers and business partners.Own backtesting and experiments for fraud rules and models #LI-REMOTE#LI-WISHXDS Qualifications Master’s degree in Statistics, or a quantitative field. PhD preferred.1+ years of work experience in finance/business/risk data analysis.Proficiency in SQL or other query languages, deep experience and strengths to develop complex queries.Development experience in at least one scripting language (R, Python, PHP, Perl, etc.).Strong analytical and problem-solving skills; ability to transform data into business insights and actionable recommendations. Experience working with large data sets that are structured and partially structured. Preferred Qualifications: 1+ years of work experience in machine learning 1+ years years with big data systems, such as Spark, Hadoop Additional Information Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Individuals applying for positions at Wish, including California residents, can see our privacy policy here.
Data Scientist Entry Level	Donorsearch	Background: DonorSearch is the leading provider of prospect research solutions and AI-powered technologies, serving over 6,800 nonprofit organizations across the US. We are family-owned, headquartered in Maryland, and have a rapidly-growing remote workforce in every U.S. timezone. With our outstanding reputation and team of innovative professionals, we seek someone to join us to expand our brand and make a lasting impact on the world. At DonorSearch, we value: Innovation, Excellence, Growth, Collaboration, and Quality. Job Summary: DonorSearch Aristotle introduced deep learning and machine learning into the nonprofit sector by building custom models with a robust interactive visualization tool to help organizations fundraise more efficiently. The Data Scientist will use best-in-class machine learning technologies to develop machine learning algorithms to meet various objectives of fundraising staff. Key Responsibilities: Builds production-quality, custom predictive models to enhance and expand our core productInvestigates new data sources, perform statistical analyses, and document findingsWorks with engineering and data vendors to improve the accuracy of our data sources Performs analysis on a wide variety of large and disparate datasets using complex techniquesCreates presentations and data visualizations to effectively communicate results to internal staff and external customersApplies and combines current and emerging techniques and tools in novel waysDevelops and combines complex data analysis techniques and methods for a specific applicationPrepares and aggregates large datasets ML builds and scoringMaintains machine learning models and evaluate ongoing performanceProvides support to DonorSearch Aristotle clients with phases of data discovery, aggregation, delivery, onboarding, and adoption Requirements: A Bachelor's degree in Computer Science or related discipline with a minimum of 3 years of related experience; Master's degree in similar disciplines with a minimum of 1 year of related experience; or PhD in similar disciplines.Broad knowledge in one or more related fields of the following areas: artificial intelligence, quantitative modeling, machine learning, statistics, math, data science and data visualization.Experience in wide application of principles, theories, basic programming and Artificial Intelligence Techniques and conceptsHands on experience in building, testing, operationalizing and maintaining machine learning modelsExtensive knowledge of applicable industry and/or academic practices and standards in software design & development and Computer ScienceAdvanced degree in a quantitative disciplineExperience including applied techniques in modern data science and machine learning in production environmentsExpert knowledge of Python & SQLCollaborative, team-focused attitude with a strong desire to advance the product and learn new thingsThe ability to communicate technical ideas to a non-technical audienceSelf-starter with experience turning ideas into actionable designsExcellent written and verbal communicationEligible to work within the United States Note: This is a remote position that requires up to 25% travel. The Salary range for this position is $60,000+, with bonus potential. www.donorsearch.net
Analytics Director Learning Impact Design	Tntp	Analytics Director – Learning, Impact and Design Flexible Location TNTP seeks a full-time Analytics Director to join TNTP’s Learning, Impact, and Design team. This position may be based in a home office anywhere in the U.S., and is available immediately. Travel up to 20% for this position is required. Who We Are A national nonprofit founded by teachers, TNTP believes our nation’s public schools can offer all children an excellent education. Today we’re a diverse team from a wide range of fields, united by a fierce commitment to helping school systems end educational inequality. We work at every level of the public education system to attract and train talented teachers and school leaders, ensure rigorous and engaging classrooms, and create environments that prioritize great teaching and accelerate student learning. The Learning, Impact, and Design (LID) Division is dedicated to supporting TNTP to become a smarter learning organization, able to tell the story of our impact so that we can more effectively help students achieve their aspirations by increasing their access to teachers with high expectations, grade appropriate assignments, strong instruction and deep engagement. Within LID, the Impact team ensures that we systematically measure our reach and impact through a strong, data-based approach to continuous improvement, and that we provide high-quality data analytic work to our clients. What You’ll Do As an Analytics Director, you will partner with internal and external clients and project teams to design and implement customized solutions that ensure they can effectively use the data they have available to them to tell effective data stories, learn what’s working, and ultimately improve students’ experiences. Specific project assignments vary in scope, duration, and depth – but all will require the Analytics Director to independently tackle complex challenges with innovative and nuanced solutions and persuade internal and external clients to embrace continuous learning and, at times, new approaches to solving old problems.  On any given day, this role may be asked to: Develop and apply research methodologies to meet TNTP business needs (e.g., validate instruments’ properties, assess TNTP tools and systems as predictors of student outcomes, create new analytic models for evaluating programs and teachers/school leaders, etc.) Create compelling data stories using analysis to support our partners in improving students’ experiences and outcomes. Review external research to support staff and clients in making research-based decisions for their work. Support internal and external clients to use continuous improvement methods and learning approaches to improve their outcomes. When needed, represent TNTP in the external research community What You Bring We are looking for amazing people who have diverse backgrounds and experiences, are inspired by our mission and are highly motivated to change children’s lives through education. You’ll be right at home here if you learn from failure and overcome adversity, cultivate strong relationships, understand the power of diversity, advocate for equity, aspire to lead through inclusion, and push yourself, your work and the people around you to the next level. We expect our Analytics Directors to: Innovate and implement solutions to complex challenges. You have a history of engaging with high stakes challenges directly and successfully. Ambiguity doesn’t overwhelm you; just the opposite, you thrive on it. Your creative instincts will help you deal with vague situations and develop new approaches with limited guidance. Conduct research that drives meaningful learning and change. You’ll regularly support our staff and partners to answer research questions and measure the impact of their work. Influence leaders to act. You’ll regularly interact with, and be expected to influence, high level clients at the district and school levels – motivating them to implement both small and significant recommendations. Have stage presence. We’re counting on your strong public presentation skills and ability to provide thoughtful and compelling insights in settings small and large, formal and informal. Sweat the details. You’ll use your strong organizational and project management skills to execute and move our work toward ambitious goals.  Take a systems approach to improving student learning. You can look at a variety of data and draw conclusions, at the school and district level, and design systems-level strategies to improve instruction and advance equitable student outcomes. Build relationships. You have the ability to connect and build relationships with diverse communities. Bilingual abilities are a plus, Spanish language preferred. Qualifications Advanced in most data science workflow competencies Well-versed in external research & methods and can translate them to an applied setting to strengthen TNTP’s work Proficiency in advanced statistical models commonly used in education research. Proficiency in statistical programming using R (preferred) or another programming software Strong written and oral communication skills: you share the appropriate amount, at the appropriate level for the audience, in a clear and compelling way. Experience leading a research team to produce applied research or program evaluation results for clients Ability to credibly represent TNTP, its research agenda, and research findings externally (as needed) Advanced degree in a related field (preferred) What We Offer  TNTP offers a competitive salary commensurate with experience in a similar position with the potential for an annual performance-based bonus. The salary range for this position is $93,600 - $140,400. New hires are typically brought into the organization at a salary between the range minimum and midpoint depending on experience and in alignment with internal equity. We offer a comprehensive benefits plan, covering the majority of the employee premium for the base medical plan and subsidizing the majority of costs for a spouse/domestic partner and children. Other benefits include dental and vision plans, disability, life insurance, parenting benefits, flexible spending account options, generous vacation time, commuter benefits, referral bonuses, professional development, and a 403(b) plan with employer matching. We also offer an inclusive environment where staff are encouraged to bring their whole selves to work every day. TNTP may offer a relocation stipend to defray the cost of moving for this role, if applicable.      To Apply  Please submit your online application through Workday. It’s in your best interest to apply as soon as possible. We recommend including a cover letter in your application addressing why you are interested in TNTP and how your experience has prepared you for this position.  #LI-Remote Position Type:RegularTNTP is an equal employment opportunity employer committed to maintaining a non-discriminatory work environment. TNTP does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, gender, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, gender expression, arrest record, conviction record, or any other personal characteristic protected by applicable law. This policy covers all programs, services, policies, and procedures of TNTP, including recruiting, hiring, training, promotion, and administering all personnel actions, such as compensation, benefits, transfers, layoffs or terminations.
Principal Data Scientist	Allstate	The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good. You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them. Job Summary Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 330+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to creating an inclusive and diverse work environment where everyone has an equal opportunity to succeed. We strive to hire people from a wide variety of backgrounds so that we can better serve our increasingly diverse and multi-faceted customer base. Developing ourselves and others is key to our success. The Analytics Center of Excellence is positioned at the center of Allstate’s analytics ecosystem and builds, deploys, and integrates advanced analytics across Allstate. As a Principal Data Scientist you will have the opportunity to innovate and drive adoption of the latest data science tools and methodologes across the Allstate enterprise.This includes: researching, developing, and implementing techniques from fields such as statistics, machine learning, natural language processing, and computer vision; the coding/development of tools that use machine learning/predictive modeling to make business decisions; keeping current with the latest academic research in data science; identification of new business problems that can be solved through the use of machine learning; engaging with our university partners to identify research ready for use and implementing within the business. The person in this role will help shape Allstate’s data science strategy and will have the opportunity to work across areas of the business. The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role will also begin to oversee highly complex projects. Key Responsibilities Leverages research and applies state-of-the-art deep learning techniques to inform key strategic recommendations and decisions. Reviews, evaluates, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed, and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems. Collaborates and influences outside business units and leads work on data and complex business problems across departments in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies and develops solutions that use new areas of data, research and models and develops data sources that can solve business problems. Utilizes effective project planning techniques to break down complex and occasionally highly complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept. Advises data science and business partners on applying advanced analytics and regularly trains them on state-of-the-art. This role does not have people management responsibilities. Preferred Qualifications Education and Experience A Bachelor’s degree in a field such as math, computer science, statistics, machine learning, engineering, or related. Graduate degree a plus. 7 or more years of related experience. Expertise in one or more of the following disciplines: Computer Vision, NLP, Optimization, Deep Learning, or expert Machine Learning generalist. Functional Skills Experience deveoping machine learning algorithms and models and applying to business problems. Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise Experience working with Agile team and demonstrated analytic agility with ability to quickly learn and switch topic. Ability to craft new concepts and stay current with academic research Ability to use and learn a wide variety of tools and languages to achieve results Proven ability to code and develop prototypes in various languages Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable Ability to train, develop, and teach more junior modelers Knowledge of advanced machine learning techniques and libraries The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands®. As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/ Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. READ MORE
Lead Data Scientist Consultant	Allstate	The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good. You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them. Job Summary This role is responsible for leading the use of data to make decisions. This includes: the development and recommendation of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of new business problems that can be solved through the use of machine learning/predictive modeling. The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role will also begin to manage projects of medium to high complexity. Key Responsibilities Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions Reviews, evaluates, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems. Collaborates with outside business units and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Effectively understand the business’ problems and requirements to identify the optimal modeling approach. Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions. Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems. Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept. Manages various analytical and modeling projects with small number of team members. Mentors and develops others This job does not have supervisory responsibilities Preferred Qualifications Education and Experience Master’s or PhD and 5 or more years of related experience, preferred Bachelor’s and 8 or more years of related experience Functional Skills Proven experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise Experience working with Agile team and demonstrated analytic agility with ability to quickly learn and switch topics Ability to use and learn a wide variety of tools and languages to achieve results Proven ability to code and develop prototypes in languages such as Python, Spark Ability to lead a project team of various skills levels Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable Ability to train, develop, and teach more junior modelers Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making Knowledge of advanced machine learning techniques and libraries The compensation range for this position is $117,000 to $144,800 per year based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands®. As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/ Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Data Scientist Revenue Analytics	Extend	About Extend Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. After a $260M Series C financing round, we are ready to continue to scale our organization and grow beyond our $1.6B valuation. Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. We are a venture-backed startup based in downtown San Francisco (and since COVID began, fully remote) that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry. What You Will Be Doing: Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams Work with our Risk & Insurance team to build deep-dive analytics to help drive step-change improvements in efficiency (beyond day-to-day workforce management) Analyze and recommend pricing strategies for the Sales and Merchant Success teams to drive client acquisition and optimization Create platform analytics to confirm product operation is as expected and develop new processes to optimize warranty mapping operations Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies What We Are Looking For: A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative 2-4 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service Experience with SQL and Python, R or Julia, experience with Machine Learning and/or forecasting is a plus Experience in the retail or fintech landscape is a plus Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential Ability to communicate and collaborate across the organization, especially to teams with less data & analytics experience Biased towards action and not afraid to make mistakes Empathy and humility Life At Extend: Working with a great team from diverse backgrounds in a collaborative and supportive environment. Competitive salary based on experience, with full medical and dental & vision benefits. Stock in an early-stage startup growing quickly. Unlimited vacation policy. 401(k) with Financial Guidance from Morgan Stanley.
Data Scientist Optimization	Extend	About Extend: Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. With a brand-new $260M Series C round of funding, we are excited to continue to scale our organization and grow even further beyond our $1.6B valuation. We are a venture-backed fintech startup based in downtown San Francisco that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry, in the same way that Stripe did for online payments and Affirm did for consumer point of sale financing. Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. We are the trusted partner by household brands such a Peloton, JBL, Harman already and are just getting started. About the Role: This is a data scientist hire for the Optimization team in Extend's Revenue Analytics Org. The Optimization team aimed at driving additional revenue growth, optimize the company’s performance and deepen our existing merchant relationship with identified constraints. You will have the opportunity to help scale within the organization. The role's responsibilities will include: What You Will Be Doing: Develop automation tools and models to streamline portfolio and merchant optimization Introduce scientific approach and methodology to improve optimization outcome Design A/B test and define data framework to evaluate prediction accuracy Develop a robust optimization and monitoring infrastructure, and use this infrastructure to assess, define, and scale optimization opportunities for different segments and for our top merchant partners Develop documentation of models, processes, and frameworks and continuously iterate with improvements Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies What We Are Looking For: 3-5 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service Highly proficient in manipulating large data sets with SQL and Python, R or Julia, experience with Machine Learning and/or forecasting is a plus Proven record of delivering business value by operationalizing predictive models or automated tools Not afraid of operating in ambiguous environments and build up data framework from the ground up Strong written and verbal communication and not biased towards model documentation Ability to dive deep into data and communicate insights to audiences of all backgrounds A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative Experience in the retail or fintech landscape is a plus Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential Life at Extend: Working with a great team from diverse backgrounds in a collaborative and supportive environment Competitive salary based on experience, with full medical and dental benefits Stock in an early-stage startup that is growing quickly Flexible vacation policy
Data Scientist Client Insights	Extend	About Extend: Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. With a brand-new $260M Series C round of funding, we are excited to continue to scale our organization and grow even further beyond our $1.6B valuation. We are a venture-backed fintech startup based in downtown San Francisco that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry, in the same way that Stripe did for online payments and Affirm did for consumer point of sale financing. Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. We are the trusted partner by household brands such a Peloton, JBL, Harman already and are just getting started. About the Role: You will be joining the newly-created client insight team in Extend's Revenue Analytics Org and you will have the opportunity to create and form how this team will shape. What You Will Be Doing: Partner with merchant success teams to show the value that Extend delivers to merchants and why we are the best in the industry, including building A/B or serial tests, NPS surveys, merchant satisfaction surveys, or other methodologies to track successful attachment and conversion Lead the analytics engagement with enterprise merchants, managing and coordinating cross-functional analytics projects and insights work Identify and execute on new revenue opportunities and conduct quantitative analysis to understand and prioritize strategic initiatives Work with XFN teams to turn merchant analytics insights into sales enablement and competitive positioning Manage tests for specific merchants and generate data to build out case studies and GTM messaging strategies Introduce scientific approach and methodology to improve merchant performance Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes What We Are Looking For: 3-5 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service Not afraid of operating in ambiguous environments and build up data framework from the ground up Strong written and verbal communication and experience managing clients are preferred Ability to dive deep into data and communicate insights to audiences of all backgrounds A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative Experience in the retail or fintech landscape is a plus Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential Life at Extend: Working with a great team from diverse backgrounds in a collaborative and supportive environment Competitive salary based on experience, with full medical and dental benefits Stock in an early-stage startup that is growing quickly Flexible vacation policy
Vice President Data Partnership Data Science	Nielsen	Vice President , Data Partnership, Data Science (Remote OK) - 102004 Data Science - USA New York, New York As the world’s largest research organization, Nielsen is powered by talented, creative scientists, researchers and engineers. Our associates come from diverse disciplines that include business, economics, engineering, marketing, mathematics, operations research and statistics. These professionals drive innovation and insight through continual ideation, complex analyses and delivery of insights to our clients. Because measurement is at the core of Nielsen's business, our products have high visibility and make a direct impact on our clients. About the job We are looking to add an experienced data scientist to a leadership role to focus on our Data Partnerships. This collaborates with many teams across Nielsen - Product, Tech, and Data Science. It will partner closely with our data partnerships teams in Product globally - with a strong connection between data to measurement and analytics. This role will report into our Head of Data science and act as a member of the Data Science Leadership team. What you will do Data in, data out policies Interface with external identity vendors, suppliers, collaborators Management of data prospect supply funnel Management of data supply chain from a commercial perspective Contracting of data suppliers Onboarding of data suppliers Data supplier contract expansions/amendments/renegotiations Funding of data supply chain (present & future) Data evaluations for lower funnel prospects Ongoing data evaluations for onboarded data supply chain Ongoing data solutioning / regular check-ins with data suppliers Data policies (volume SLAs, freshness SLAs, quality SLAs, variety guidelines) Data integration for tests and contracted deliveries (schema discussion, batches, API) Go, no-go signal on prospective deals Is this for me? Advanced degree in computer science, statistics, operational research, STEM, or similar 8 or more years work experience in data science and analytics Experience in leading data science teams Proficiency in SQL and Python (or similar) for data analysis and software development Experience with modern machine learning libraries and frameworks (e.g. LightGBM, XGBoost, PyTorch, TensorFlow, Stan, etc.) Big data orchestration and processing tools such Spark and Airflow etc. Excellent communication skills, ability to explain complex problems to technical and non-technical audiences Ability to see the big picture and think strategically Experience in identity, media, or marketing analytics, including campaign measurement, cross-platform deduplication and lookalike modeling or experience in online media and the ad tech ecosystem Knowledge of the TV market and Nielsen measurement solutions Good vibes, integrity, and good work ethic #LI-MJ1 ABOUT NIELSEN By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job Type: Regular Primary Location: New York,New York Secondary Locations: Remote, , , Travel: Yes, 25% of the Time
Senior Data Scientist	Nielsen	Senior Data Scientist (Remote ok) - 106496 Data Science - USA Columbia, Maryland The Data Engineer’s primary responsibility in the Audio Data Science team is to develop creative solutions to support the data and analysis infrastructure and pipeline which underpins the survey quality for all Nielsen Audio survey products. In order to deliver high quality standards, the Data Scientist will work as subject matter expert on a team of analysts to establish, maintain and continuously improve data tools supporting the Audio data science team. Tasks will include developing system enhancements, procedural and technological documentation, working with cross functional teams to implement solutions into production systems, supporting survey methodology enhancement projects, and supporting client facing data requests. What will I do? Maintain and continuously improve the data infrastructure and analysis framework for the Audio Data Science team Transition the data science tech infrastructure away from legacy systems Work with cross-functional teams to implement and validate enhanced audience measurement methodologies Build and refine data queries from large relational databases/data warehouses/data lakes for various analyses and/or requests Utilize tools such as Python, Tableau, AWS, Databricks etc. to independently develop, test and implement high quality custom, modular code to perform complex data analysis, visualizations, and answer client queries Maintain and update comprehensive documentation on departmental procedures, checklists and metrics Implement prevention and detection controls to ensure data integrity, as well as detect and address quality escapes Work closely with internal customers and IT personnel to improve current processes and engineer new methods, frameworks and data pipelines Work as an integral member of the Audio Data Science team in a time-critical production environment Key tasks include – but are not limited to – data integration, data harmonization, automation, examining large volumes of data, identifying & implementing methodological, process & technology improvements Develop and maintain the underlying infrastructure to support forecasting & statistical models, machine learning solutions, big data pipelines (from internal and external sources) used in a production environment Is this for me? Undergraduate or graduate degree in mathematics, statistics, engineering, computer science, economics, business or fields that employ rigorous data analysis Must be proficient with Python (and Spark/Scala) to develop sharable software with the appropriate technical documentation Experience utilizing Gitlab, Git or similar to manage code development Experience utilizing Apache Spark, Databricks & Airflow Expertize with Tableau, or other data visualization software and techniques Experience in containerization such as Docker and/or Kubernetes Expertize in querying large datasets with SQL and of working with Oracle, Netezza, Data Warehouse and Data Lake data structures Experience in leveraging CI/CD pipelines Experience utilizing cloud computing platforms such as AWS, Azure, etc Strong ability to proactively gather information, work independently as well as within an multi disciplinary team Strong verbal, presentation, and written skills Strong critical thinking and creative problem solving skills Strong planning and organizational skills Proficiency in MS Office suite (Excel, Access, PowerPoint and Word) and/or Google Office Apps (Sheets, Docs, Slides, Gmail) Preferred Knowledge of machine learning and data modeling techniques such as Time Series, Decision Trees, Random Forests, SVM, Neural Networks, Incremental Response Modeling, and Credit Scoring Knowledge of survey sampling methodologies Knowledge of statistical tests and procedures such as ANOVA, Chi-squared, Correlation, Regression, etc #LI-MJ1 ABOUT NIELSEN By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job Type: Regular Primary Location: Columbia,Maryland Secondary Locations: Remote, , , Travel: No
Sr Data Scientist	Nielsen	Sr. Data Scientist - Remote OK - 90184 Data Science - USA Chicago, Illinois Nielsen is the largest measurement company in the world with unique technologies, assets, and data that make it one of the most interesting and challenging places for a data scientist to work. We focus on measuring total media consumption across all platforms in over 90 countries and counting. Data Science is core to what Nielsen does and our research projects have high visibility in directly affecting the results of our business and our clients. The Senior Data Scientist role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement. This is an ideal position to grow as a researcher, contribute to innovative products, and deploy cutting edge methodologies in audience measurement methodology and integrate big data into existing products. About the team The Cross Media team within the Data Science organization focuses on improving and enhancing Nielsen’s highly successful audience measurement products out in the marketplace for advertising and content measurement. As part of this exciting team, this position will focus on developing new methodologies to measure audiences across platforms (including on “connected” or “over the top” devices, smart tv’s, or set top boxes) and on evaluating and integrating new data assets and partners into Nielsen’s existing methodologies in order to enhance or expand the data delivered to clients. A major focus of this work is total audience representation across demographics. Advertisers do not just need to count audience members. They need to know who is watching. Ensuring all groups are appropriately represented in measurement is core to Nielsen’s value and a key role of this team. What will I do? Learn and become an expert in how big data flows through Nielsen systems in order to create reliable data pipelines that will feed into methodology development processes. Work with cross-functional teams to implement and validate enhanced audience measurement methodologies. Independently write custom Python and SQL code. Develop, implement, enhance, and support large-scale machine learning efforts Drive technical solutions to complex business problems - from lightweight automation to designing and building robust/scalable solutions. Strong focus on optimization. Key tasks include – but are not limited to – trend analyses, identifying methodological and process improvements, representation/sampling, bias reduction, indirect estimation, data integration, automation, generalization, examining large volumes of data, harmonization, as well as working with different data sources. Proactively gather information, as needed, to work independently and with a team. Support in detecting and addressing quality escapes. Is this for me? Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background Preferred Master’s degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background 3-5+ years of professional work experience in data analysis, software development, pipeline management, and/or related disciplines - change order Must be proficient with Python, Spark, or Scala to develop sharable software with the appropriate technical documentation. High fluency in SQL & large-scale databases Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses Experience with machine learning techniques Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical Must have the ability to work alone and with a team Must have critical thinking skills necessary to evaluate results in order to make decisions Must demonstrate intellectual curiosity and persistence to find answers Demonstrate interest in Nielsen methodologies, data collection, platforms, research processes and operations. Skills Desired: Experience with data visualization tools Experience with machine learning techniques Experience working with cloud based or big data technologies Experience with Apache Airflow #LI-SF1 ABOUT NIELSEN As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job Type: Regular Primary Location: Chicago,Illinois Secondary Locations: FL - Tampa - Oldsmar, Remote, , Travel: No
Lead Data Scientist	Nielsen	Lead Data Scientist - 101792 Data Science - USA New York, New York Title: Lead Data Scientist Division: Data Science Location: United States: Remote What is the role? Streaming is exploding right now! As a Lead Data Scientist on the Connected TV Measurement team, you will have a front row seat for all of the action. What will I do? In this role, you will be working to develop methodologies to enhance Nielsen’s Connected TV measurement. Your primary responsibilities include: Drive the development, testing, and implementation of new measurement methodologies, including client-focused impact assessments Build and deploy production-ready automated methodologies into functional modules, including unit tests and quality control checks while incorporating CI/CD workflows Identify root causes and solve any bugs or quality escapes Ensure detailed documentation of new methodologies, research findings, and best practices Ensure product quality, stability, and scalability by facilitating code reviews Explaining complex model-related concepts in simple terms to non-technical internal and external audiences Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices Is this for me? This role requires: 5+ years of professional work experience in Statistics, Data Science, Computer Science, and/or related disciplines Experience with developing and automating methodologies Mastery of Python Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3 Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines Experience with ETL frameworks like Airflow Familiarity with DevOps tools and CI/CD workflows including Git Bachelor's degree in Statistics, Data Science, Computer Science or other related field Organization and clear communication Nice to have: Advanced degree in Statistics, Data Science, Computer Science or other related field Experience working in cloud-based environments such as Azure, AWS, or GCP Domain expertise in Digital or Television measurement #LI-SF1 ABOUT NIELSEN By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job Type: Regular Primary Location: New York,New York Secondary Locations: , , , Travel: No
Data Science Manager	Nielsen	Data Science Manager (Remote OK) - 101961 Data Science - USA Atlanta, Georgia The Manager, Data Science position is responsible for a blend of research, analytics, and statistical operations, leading a team of associates responsible for the statistical weighting, computations, and methodological enhancements of our local Metered Market measurement products. Make an immediate impact with modern audience measurement techniques that blend the strengths of high quality representative panel data with the scale of “big data” assets such as set top boxes and Smart TVs. In this role, you will lead a small team by organizing, specifying, and reviewing the work of junior data scientists. You will get into the nitty-gritty details of coding, pipelines, and model development, ensuring product quality, stability, and scalability by facilitating code reviews and driving best practices such as modular code, unit tests, and the like. You will use your ability to comprehend complex problems quickly and identify/explore creative solutions across linear and streaming modes of media consumption. Project areas may include such topics as representation/sampling, bias reduction, anomaly detection, and classification problems. The ideal candidate has a background that skews towards data engineering while still having a strong data intuition and methods foundation. You should have an ability to be scrappy when necessary but lean towards building scalable longer term solutions. What will I do? Translate product/project requirements into technical tasks for the data science team Collaborate with cross functional Product and Technology teams to deliver on the product roadmap on schedule Make decisions on the selection of methodologies, technical tools, and processes that most effectively and efficiently reach the desired outcome Work with Agile teams to productionalize, validate, and optimize methodologies Implement strategies to automate production of methodologies. Actively sponsor code reviews Support analyses for custom requests, client inquiries, impact of changing methodologies, audits, and standards/best practices Learn and become an expert in how big data flows through Nielsen systems in order to create reliable data views that will feed into client inquiry processes Stay abreast of changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods/processes Summarize, document, and communicate research findings to audiences of varying levels of technical subject matter expertise Is this for me? Master’s degree in a quantitative research field, such as data science, statistics, computer science, etc. At least 6 years research experience in a business setting Experience managing people Statistical and analytical skills with expertise in modeling/machine learning techniques Excellent Python skills, including relevant data science libraries such as Pandas, Scikit-learn, PyTorch, and PyMC3 Proficient SQL query and development skills Experience with cloud environments and big data technologies (e.g., Spark, AWS) Collaborative code development experience, including version control, unit/integration testing, code review and sharing (preferably in Git) Experience in managing and executing large-scale, complex technical projects Curiosity and skepticism Excellent written and verbal communication skills Preferred Qualifications: Experience with big data orchestration and processing tools such Spark and Airflow etc. Experience in containerization such as Docker and/or Kubernetes Experience working within Agile teams Experience in, or knowledge about, the media or TV industry #LI-MJ1 ABOUT NIELSEN By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job Type: Regular Primary Location: Atlanta,Georgia Secondary Locations: Remote, MD - Columbia, FL - Tampa - Oldsmar, Travel: No
Senior Data Scientist Custom Analytics	Nielsen	Senior Data Scientist, Custom Analytics - Remote OK - 94821 Data Science - USA Pittsburgh, Pennsylvania Nielsen is looking for a Senior Data Scientist for the Audience Measurement Custom Analytics team. Custom Analytics is a new team within the larger Audience Measurement Product organization that is tasked with the assessment, solutioning, development and implementation of custom studies for clients. These deliverables typically include requests for data sets and features that are on the longer term roadmap for our core products, but not immediately available for client consumption. This includes custom deduplication of platforms that are not available in our standard product suite, the reporting of advanced audiences, and other similar requests. As a Senior Data Scientist you will: Utilize and develop innovative statistical modeling (and machine learning / deep learning methodologies where applicable) to enable custom audience analytics based on large volumes of data from various sources Make decisions on the selection of methodologies, technical tools and processes that most effectively and efficiently reach the desired outcome Manage and mentor the other data scientists on the Custom Analytics team Work with an Agile, cross-functional scrum team to develop, validate, and optimize methodologies Support deployment and maintenance of data pipelines and models Design and implement strategies to automate data delivery using the methodologies developed Stay abreast of developments in quantitative research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods Provide support, technical guidance and training of other team members Summarize, document, and communicate research findings to audiences of varying levels of technical subject matter expertise What will I do? Organize and facilitate planning across Product, Technology, Data Science resources Maintain a roadmap for your scrum team, which encompases all work (business, technical/operational, and methodological needs) and prioritize accordingly Drive requirements gathering & backlog grooming for all roadmap items to ensure requirements are understood by the team and work is planned in advance Lead the execution of data science work within the scrum team and participate in agile ceremonies (Standups, Sprint Planning, Sprint Demos, Backlog Grooming, Retrospectives) Ensure adherence to release governance practices and any required audit documentation Build alignment on scope across all stakeholders throughout the lifecycle of product development Exhibit expertise in your product domain (understanding the systems involved, the technical component flow, specific aspects of the methodology, etc.) Communicate the overall status of initiatives and escalation of issues to senior leadership Is this for me? Master’s degree in data science, statistics, mathematics, social sciences, biological/physical sciences, computer science, or some other quantitative research field At least 3 years research experience in a business setting Outstanding statistical and analytical skills with experience in machine/ deep- learning techniques Proficiency in Python Experience with modern machine learning libraries and frameworks (e.g. LightGBM, XGBoost, PyTorch, TensorFlow, Stan, etc.) Experience with cloud environments and big data technologies (e.g., Spark, AWS) Collaborative code development experience, including version control, unit/integration testing, code review and sharing (preferably in Git) Preferred Knowledge of Bayesian inference and probabilistic programming (e.g. Pyro) Knowledge of Natural Language Processing Skilled at feature engineering Subject matter intuition for the causal drivers of media consumption Knowledge of data visualization tools/packages Some experience working within Agile team #LI-MJ1 ABOUT NIELSEN As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job Type: Regular Primary Location: Pittsburgh,Pennsylvania Secondary Locations: Remote, , , Travel: No
Intern Ai Research Operations Research	Invitae	Location: Remote U.S.A. What is the Invitern Program? The Invitern Program offers opportunities for students, recent grads, or those who are early in their career to develop industry skills through Invitae’s internship roles. With each opportunity, we aim to create an experience for our interns (Inviterns!) that is enhanced by mentorship, networking opportunities, and impactful work. Throughout the duration of this program, we hope to offer a sense of community with our Inviterns and build lasting relationships. Our hope is that Inviterns become future Invitaens! The 2022 Summer Invitern Program is a paid internship and will start June 6th, 2022 and commence August 12, 2022. Summary Timeline Late October 2021 - Invitern role open for applications December 2021 - Inviterns selected June 2022 - Inviterns start August 2022 - Invitern Program ends Intern - AI Research - Operations Research Summer 2022 - AI Team - Operations Research Group As a world-class leader in genetic diagnostics applications and research, Invitae Research is seeking candidates for internships in operations research and machine learning. Interns will work with computer scientists and software engineers to build systems that leverage techniques such as Bayesian nets, constraint satisfaction, planning, and machine learning to solve real world problems encountered in the production lab and other areas of Invitae’s business. Strong candidates will have several of familiarity or expertise with graphical models / Bayesian networks familiarity or expertise with AI planning, constraint satisfaction, and discrete optimization familiarity or expertise with python, and willingness to learn new technologies willingness to work on both theoretical and practical aspects of a project strong mathematical ability, including expertise in statistics, probability, and discrete optimization The internship will take place remotely over 10-12 weeks in Summer 2022 provide competitive compensation for industrial computer science research internships be supported and supervised by the AI Operations Research Group offer opportunities for publication in an appropriate academic conference and/or journal At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. #LI-Remote
Data Scientist Nlp	Evisort	Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance. We are backed by some of the most prominent VCs with Microsoft being an investor in our last round of financing. Come join us and help us revolutionize a multibillion dollar industry. The Role: Evisort’s Data Science team is at the core of its business. We are seeking a data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it. What You’ll Do: Build end-to-end machine learning models from the ground up, from data exploration through feature generation and model construction and deployment. Dive deep into structured and unstructured data to extract insights, build dashboards, and create training data for machine learning models. Contribute to advancing NLP and its applications in the legal space, to create highly innovative products and customer experiences. Own the end-to-end lifecycle of your models and see them deliver business impact. Skills/Qualifications: 2+ years of machine learning experience in the industry 2+ years of hands-on experience mining unstructured text data Knowledge of deep learning architectures (e.g., RNNs, CNNs, Transformers) and a strong grasp of applications (e.g., Named Entity Recognition, Question Answering) Strong knowledge of Python (Pandas, Sklearn, Regex) and familiarity with deep learning frameworks (e.g., Tensorflow, PyTorch) Ability and motivation to stay up to date with the very fast-moving NLP space Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving business impact. Evisort is an E-verify employer. Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
Intern Data Science	Autodesk	Job Requisition ID #21WD52275Position OverviewAutodesk customers make sense of the world through rich streams of data that might include 3D scans of buildings, fluid dynamic simulations, daily notes on the construction site, trends on product usage and more. As a Summer 2022 Data Science intern, you will get to apply your knowledge in data engineering, work with the latest machine learning models, and make an impact by helping our customers create a better, safer, more sustainable world.Responsibilities Experience with data mining algorithms and techniques: GLMs, CART/CHAID, Random Forests, Gradient Boosting, Cluster Analysis, Recommender systems, Time Series Analysis, Survival Analysis, Text Mining, etc. Proficiency with Python or R, SQL and familiarity with working in big data environments like Hadoop, Hive and Spark The ideal candidate is a strong data scientist who thinks outside the box, is naturally curious, highly collaborative, and has a passion for tackling complex data-centric problems Minimum Qualifications Must be at least 18 and enrolled in college or non-traditional education, such as coding boot camps or industry-related vocational classes and returning back to school or program following the completion of this internship A mix of previous internship, school project, volunteer and leadership experience Preferred QualificationsPursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related fieldAbout the US Intern ProgramThe U.S. program runs from May through August for 12 weeks and will be remote (subject to change). All internships are paid. Interns have the opportunity to work alongside peers from universities all over the country and participate in intern events such as TED talks, mentoring, fun events, and more. US recruiting begins in the Fall and concludes end of March.About AutodeskAutodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodeskAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
Data Scientist Ii Bank	Usaa	Purpose of Job We are seeking a talented Data Scientist II for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available. Within defined guidelines and framework, uses 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 About USAA 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. USAA Careers – World Class Benefits (31 seconds). Primary Responsibilities: 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 and procedures for business activities. In partnership with SMEs, learns to define the business problem and works with experienced data scientists to select the appropriate model.Extracts features from structured and unstructured data (internal and external).With guidance, conducts advanced analytics: predictive modeling, Machine Learning, and optimization. Works with Data Engineering/IT partners to develop architectures for new products, services and features.Explains complex models and outcomes to colleagues who are not data scientists. When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses. Minimum Requirements: Bachelor’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.2 years of related experience and accountability for complex tasks and/or projects.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.Strong coding skills in the dominant scripting language (such as Python).Deep academic understanding of model assumptions. Solid grasp of statistics and mathematics.Proficient knowledge of Data Science principals and experience with data science methodologies. Preferred Experience: Exposure to applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization).Fluency in Python, SQL skills to develop numerical models.Worked with Hive in Hadoop, or Spark. Snowflake a plus.Exposure to natural language processing (NLP), deep learning, computer vision. 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: $66,300 - $119,500( 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. Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. 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. #FSB
Manager Senior Decision Science Analytics	Usaa	Purpose of Job We are seeking a talented Manager Senior, Decision Science Analytics for the following locations: San Antonio, TX Office or 100% Work Remote Available. Leads and develops a highly analytical staff that provides decision support for business areas across the enterprise. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. Job Requirements About USAA 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. USAA Careers – World Class Benefits (31 seconds) Primary Responsibilities: 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 and procedures for business activities. Collaborates or participates with other analytical leaders in driving the strategic direction of small- and large-scale analyses using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.Develops team reputation as highly skilled experts in decision science support.Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Provides input to additional resource needs ranging from IT investments, 3rd party support or additional analysts.Provides support for business rationale and justification for additional needs.Understands the business direction, environment, and strategies for supported domains/clients, to identify and recommend solutions which influence the business and drive change.Partners with enterprise analytics teams to build USAA core analytics capabilities and processes.Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.Remains informed on current trends in data and analytics, such as Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data. Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g., Certifications or advanced coursework).Works with IT/CTO partners on new data and platforms that correspond to evolving skill sets. Minimum Requirements: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 additional years’ work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.8 years of experience in a decision support analytic function; OR if Advanced degree in relevant discipline, 6 years’ experience in a decision support analytic function.2 years of direct team lead or management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. Preferred Experience: Evidence of successful development and implementation of advanced analytics solutionsPrior experience working with an IT organization to implement advanced analytics solutions.Experience working in a cloud environment.Understanding of model risk governance as laid out in SR 11-7Experience with advising Senior Leadership on the development of advanced analytics solutions and long-term goals and/or strategies.Demonstrated ability to communicate ideas with team members and/or business leaders and convey very technical information to an audience that may have little or no understanding of technical concepts in advanced analytics 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: $117,600 - $211,700* (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. *Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. 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 notavailable for this position. #FSB
Data Scientist Risk Modeling	The Public Health Company	We are seeking an exceptional Data Scientist to help us build the company. ROLE DESCRIPTION In this role, you will be working as a key member of the Data Science team focused on building risk models based on infectious disease forecasts, human behavior, and government policies to help businesses and governments better manage and respond to disease outbreaks. The world now understands the importance of rigorous risk modeling in the public and private sectors, and you will be part of the early team at PHC building the future of the field. Modern data streams (genomic, mobility, search, social, etc) and modern computational techniques allow us to design, fit, and test risk models that are both more accurate and more flexible than classical approaches. In this role, you will: Work closely with the Engineering and Product teams to build scalable mathematical modeling products that will help various entities (private and public sectors) to quantify risk based on disease outbreaks in order to tackle future epidemics/pandemics. Provide recommendations to PHC’s customers about the best course of action based on the risk models and custom input from customers about their risk tolerance Perform statistical analyses of model performance, robustness, and impact. Present interpretation of results to both internal and external stakeholders who may have varying levels of technical expertise. Provide technical and scientific guidance to PHC Help in mentoring junior colleagues. Write appropriate documentation and tests to ensure model code reproducibility and reusability. Work with all levels within the company including executive leadership to bring high-performing, actionable, and trustworthy models to end users REQUIREMENTS Graduate degree in an analytical field such as biostatistics, statistics, mathematics, machine learning, computer science or another related field. Experience creating, implementing, and applying risk models in at least one setting (health, insurance, cybersecurity, etc.), preferably in industry. Deep understanding of statistical modeling approaches. Experience using R or Python, Github, and the command line. Strong communication skills with an emphasis on the ability to explain scientific and statistical concepts clearly. NICE TO HAVE Experience working with an external stakeholder on a risk and recommendations modeling project Experience working with large datasets with a requirement to combine disparate datasets such as mobility data, electronic health records, social media data, census data, disease data, etc. Experience with infectious disease modeling (ODEs, compartmental models, agent-based models, machine learning) Experience with cloud computing platforms, workflow managers, and data visualization PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply. COMPENSATION AND BENEFITS Compensation and benefits are competitive and include generous stock options.
Data Science Intern Summer	Reddit	Reddit's University Program is ready for our next cohort of interns, and we need Data Science Interns to join our crew! Are you a beginner Data Scientist with a dream of both building models and browsing r/catsstandingup at work? You're in the right place! Reddit is in search of Data Science interns to join our Intern Program (and we guarantee you'll get to do some of both!). Responsibilities: Work on projects that impact the business. You'll gain exposure to how a real data science team works, from developing experiments to creating business cases. Be mentored by experienced Data Scientists from all backgrounds. From bootcamps to universities, small to medium and large companies, you'll work with data scientists of many different experiences and levels. You'll have a formal mentor on your team guiding you throughout the summer as well! Contribute to the betterment of Reddit, whether that be through making it easier to create content on Reddit, serving up relevant content to users, fighting evil on the site, improving our mobile apps, or a number of other projects we have in the works. Come to work at our San Francisco or New York office, complete with catered lunch, free snacks, a rooftop terrace, and easy access to downtown SF or NYC. (Subject to change based on safety guidelines created due to the global health pandemic) Continue making Reddit history as a part of our next intern class. Be a part of a new community, earn piles of sweet Reddit swag and get to know the city during sponsored outings over the course of the summer. Required Qualifications: Actively working towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Mathematics, Statistics, Physics, or related fields Graduating between Fall 2022 and Summer 2023 Exposure to SQL programming language Curious or driven by data analysis (strong analytical skills) A desire to work at Reddit HQ in San Francisco or New York City over Summer 2022 (Subject to change based on safety guidelines created due to the global pandemic) You’re over the age of 18 and authorized to work in the United States Preferred Qualifications: Working towards an advanced degree (Master’s or PhD) Strong SQL and Python knowledge Experience working at a small start up or mid-sized company Join Reddit; help build the front page of the internet. #LI-Remote
Data Scientist Decision Science Skills Graph Insights	Coursera	Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 87 million registered learners as of June 30, 2021. Coursera partners with over 200 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021. At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. We’re looking for a talented, creative, and collaborative data scientist to support decision-making for Coursera’s Skills Graph and its product applications. Our Skills Graph is a foundational data asset powered by NLP and crowdsourcing that maps a robust library of skills to the content that teaches them, the careers that require them, and the learners who have or want to learn them. Product applications of Skills Graph range from skills-based search and recommendations to real-time learner skill tracking. Our ideal candidate has excellent analysis and statistical modeling skills, strong written and verbal communication, and an interest in expanding the reach and quality of online education. Responsibilities: Develop metrics to evaluate the success of key Skills Graph product initiatives Estimate the potential impact of proposed projects in order to inform our Product and Business teams’ prioritization decisions Develop our understanding of Coursera’s products, business, and learners by analyzing learner and enterprise admin behavior to uncover patterns and identify opportunities for improvement Distill insights from complex data and/or data product results; build efficient and scalable insights; communicate findings clearly to both technical and non-technical audiences Work closely with data engineering and engineering teams to ensure that new projects and products are launched with clear instrumentation to support experimentation and measurement plans Partner with other data scientists to develop measurement plans for new data product launches and to share context from different areas of the business and build a more complete and consistent understanding of what data tells us about our learners Basic Qualifications Background in applied math, computer science, statistics, or a related technical field 2+ year of demonstrated history applying statistical inference techniques to business questions Excellent business intuition, cross-functional communication, and project management Strong applied statistics and data visualization skills Proficient with at least one scripting or statistical language (e.g. R or Python) Proficient with relational databases and SQL Preferred Qualifications 2+ years of experience using data to advise product or business teams Ph.D. in applied math, statistics, economics, or a related technical field Experience in causal inference methodologiesTrack record of peer-reviewed publications Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected]. Please review our CCPA Applicant Notice here.
Senior Data Scientist	Coursera	Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 87 million registered learners as of June 30, 2021. Coursera partners with over 200 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021. At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. In this role, you will partner with our regional Marketing teams -- focusing initially on India and Western Europe -- to define localized strategies that take into account trends in each market and differences in learner needs and expectations. By helping to guide strategy, explore differences through behavioral data, and establish measurement plans for new initiatives, you will help the team craft regionally competent and globally scalable marketing plans and practices and pave the way for further investment in new markets around the world. Responsibilities: Analyze site behavior and channel response data to surface insights and strategic recommendations to better customize marketing efforts to new regions. Work with marketers to define, execute, and analyze experiments that increase our understanding of how best to reach new and existing learners in priority regions. Assist marketing and finance teams in defining goal metrics and setting targets for regional marketing initiatives and reporting progress against those goals back to leadership. Collaborate with local corporate strategy, user research, and product marketing team members to identify and address strategic questions for priority regions. Partner with data engineering and operations teams to ensure that business stakeholders have easy access to and training to accurate interpret key metrics that inform their day-to-day work. Basic Qualifications: 4+ years of experience using data to advise product, business, or services teams 2+ years of experience applying statistical inference techniques to business questions Preferred Qualifications: Background in applied math, computer science, statistics, or a related technical fieldExcellent business intuition, cross-functional communication, and project management Strong applied statistics and data visualization skills Proficient with at least one scripting language (e.g. Python) Proficient with at least one statistical software package (e.g. R, NumPy/SciPy/Pandas) Proficient with relational databases and SQL If this opportunity interests you, you might like these courses on Coursera:Drafting notes: Marketing Analytics Data-Driven Decision Making Introduction to International Marketing Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected]. Please review our CCPA Applicant Notice here.

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