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Data Scientist	Carto	Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the “where” and the “why” of their business. CARTO is the leading cloud-native location intelligence platform, trusted by data scientists, data analysts and developers from companies such as Vodafone, IKEA, Decathlon, Coca-Cola and Mastercard to provide geospatial insights for use cases such as site selection, geomarketing, route optimization, network planning and much more. With an exceptionally diverse team of 150 people spread across the US and Europe, CARTO (backed by Insight Partners, Accel Partners, Salesforce Ventures, Earlybird Ventures, and Kibo Ventures, among others) is changing the way companies analyze location data - making it simple to do this straight out of modern, cloud data warehouses. Redefining its category, the company has grown rapidly in recent years providing a compelling alternative to legacy GIS software. We are looking for an enthusiastic, experienced and self-motivated Data Scientist to work at the intersection of data science and GIS. In this role, you will be working in the Data Science team to develop new algorithms and derivative datasets that leverage the spatial nature of data to produce more accurate insights and predictions via CARTO’s Location Intelligence platform. You will also work with external clients to help solve their spatial data science problems and to bring new functionality to CARTO as a platform. There will be a strong focus on adapting existing machine learning methods to best work with spatial data and exploring new methods from the fields of spatial econometrics and machine learning. The position is remote, preferably Central European Time zone. It’s also possible to work from our offices in Madrid or Seville. You will Build data science models, developing creative solutions to solve our customers' more complex business problems (statistical and machine learning predictive models, with a focus on spatial models, multivariate analysis, hypothesis testing, probability theory and its applications, etc.). Design and run novel data science experiments leveraging CARTO’s Data Observatory and the capabilities of the most advanced technologies to further develop our Analytics Toolbox. Participate in all phases of the Data Science product lifecycle (exploratory data analysis, model development, model productionizing, rollout, and evaluation). Lead research activities for new Spatial Data Science methods that drive activity on our platform, scale our business, and enhance the user experience. Collaborate with engineering and product leaders, to frame and tackle a problem, both technically and within a business context. Communicate rationale and findings from analyses to facilitate operational decisions for our clients. Present your work both to internal decision makers, and at conferences, meetups and leading workshops around spatial data science. Keep up to date on new developments from industry and academia and presenting and educating the wider company at CARTO. You Offer Ability to work with clients and other stakeholders to translate business problems into Data Science workflows. Education in relevant fields and +3 years of experience working in Data Science. Strong statistical background and experience applying data science techniques in production. Strong foundation in coding skills relevant to Data Science; especially in Python and SQL. Spark will be a plus. Experience working with geospatial data. Experience working with Google Cloud, Snowflake, AWS and/or Azure ecosystems, and platforms like Google BigQuery, Databricks, AWS Redshift, etc. Experience developing production-quality data products using the results of quantitative research. Must be able to communicate effectively with (non-technical) senior executives internally and externally. Presentation skills are essential. Fluency in English. Bonus Points For Experience with working with GIS software: CARTO, QGIS, ArcGIS, etc. Experience working with clients in a professional services capacity. We Offer A big vision: to help the world use location-based data to make better decisions. We believe that openness and sustainability are baked into this vision, and we’re sharing it with the world. Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients. Competitive, results-based compensation. Access to our employee stock options plan. Private medical insurance. Flexible work hours in a focused but casual environment. Education stipend. English classes. Growth prospects at a truly welcoming, multicultural and multilingual company. Possibility to work remotely To Apply Do you feel that you don't check all of the requirements? At CARTO we believe that professional development happens through teaching and learning from your peers and managers. Even if you’re uncertain about whether you have the experience we’re looking for, please apply if this position sparks your curiosity. A diversity of identity, perspective, and experience makes us stronger. We welcome you to apply to CARTO regardless of your background, gender, ethnicity, orientation, or ability. To learn more about us, please visit our blog or follow us on Twitter (@carto) or Instagram (@cartohq). Not the right job for you? Take a look at the rest of our openings at carto.com/careers
Director Data Science Analytics	Food52	About Us Food52 is an award-winning brand in the kitchen and home space, using an innovative commerce, content and community business model to reach over 24 million homecooks and homebodies, and was recently named No. 28 on Fast Company’s list of the World’s Most Innovative Companies of 2022. We’re passionate about giving our deeply-engaged audience everything they need to enjoy life’s most important pleasures – food, home & connection to others. As part of an ongoing initiative, we remain focused and committed to diversity, equity, and inclusion as the center of our hiring process and our company culture. We're committed to building a community that values and honors the contributions of underrepresented communities to our shared culinary experience—starting with the Food52 family. You can read more about our support, and link to our progress, in our DEI Vision Statement. About The Role As Food52 continues to accelerate our growth, we are looking for a leader to spearhead the evolution of our data function. Reporting to the Chief Product and Technology Officer, the Director of Data Science and Analytics will be the most senior data leader at the company, partnering with every leader to design, evangelize, and execute on the platforms and tooling that drive how we build data powered products and transparent, actionable insights. This role will have a huge impact on the future of Food52 by further developing the strategy for the future of data in our core business. Who You Are In this role, you’ll drive a complete data & visualization system, work hand-in-hand with top leadership to drive the strategic planning processes, support teams with valuable data-driven insights & recommendations, and lead a high-performing team of data & strategy analysts. We’re looking for someone who will evangelize the use of data and analytics in everything we do and work with a wide variety of cross-functional leaders to integrate analytical learnings and intelligence into the product and business decisions that propel Food52 forward and create a data-based decision-making culture. Personal Characteristics At Food52, the right personal characteristics are as important as prior work experience. You are: • Curious: You’re deeply curious and driven to investigate relentlessly until you’re at the root issue • Analytical: You love solving complex problems and turning them into amazing stories • Customer-obsessed: You have a passion for deeply understanding your customer, and put them at the center of everything you do • Collaborative: You’re a master at working cross-functionally and believe it’s about the team, not the individual • Entrepreneurial: You’re a self-starter who takes the lead in getting things done as well as figuring out what needs to be done • High-energy: You’re infectiously optimistic and resilient, and bring positivity and forward momentum to any team you join Responsibilities Lead and manage data team Attract, recruit, train, coach and retain top talent Design, develop and continuously improve data collection and visualization solutions Define and socialize metrics, dashboards, reports and custom analyses to track performance and success of initiatives and business outcomes across the business Ensure that all stakeholders have access to reliable and accurate dashboards and reporting as required to operate their areas of business Lead our data science and machine learning efforts Own all DBT, Looker and Google Analytics functions, including working with multiple teams across the business to troubleshoot operational or data issues in the data pipelines Lead the team to deeply understand our customers, and their actions, our product offering and experience, what works or what does not, and develop future strategies based on that understanding Turn complex data-driven insights into compelling stories that are anchored in improving and optimizing customer experience and engagement across all touch points Develop a partnership with business stakeholders to ensure we are meeting existing analytic needs by asking the right questions in order to deliver an actionable solution Empower partners in Product, Design, and Engineering with the tools and skills needed to view and analyze data Participate in business strategy discussions, determine how KPIs impact operational and financial performance of the business, work with business unit leaders to strategize & forecast accordingly Drive the development of key strategy documents, with ownership for elements of the operating plan such as key initiatives, KPIs and team goals Requirements 8+ years of experience in business intelligence, analytics, data visualization, data science, and data management. Experience with consumer-facing media or commerce products a plus Demonstrated analytical skills with the ability to generate business cases and insights from diverse data sources Meticulous attention to detail and project management capabilities Experience with business intelligence platform tooling; experience with Looker a plus Experience creating impact through various approaches to analysis and implementation of tools, including but not limited to: Modeling media mix & developing multi-channel attribution model / Creating customer lifetime value, propensity-to-buy, and propensity-to-churn models / Designing & analyzing product experiments, including A/B, multivariate, and multi-armed bandit experiments / Performing and tuning SQL queries with large datasets (billion-plus records) / Working with modern data technology, aggregation tools and relational databases / Instrumentation & tracking of Google Tag Manager and Google Analytics / Experience overseeing or working closely with machine learning (AI functions a plus) A passion for leading teams and mentoring top talent A track record of building strong, productive relationships with a wide variety of stakeholders and teams Compensation & Benefits Competitive salary Comprehensive health, dental, and vision benefit options (including some that are free for you!), flexible spending account, and any-time access to professional mental health advice Annual bonus plan 401(k) retirement savings plan Free life and AD&D insurance Unlimited vacation days (including two company-wide weeks off for Summer Week & Winter Week!) Fitness subsidies Pre-tax commuter benefit plan Flexible hours and working arrangements Employee discount and exclusive access to Food52 Shop products Food52 is an Equal Opportunity Employer and does not discriminate on the basis of one's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. Food52 will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local "Fair Chance" laws.
Data Scientist Finance Data	Coinbase	We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries. Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Ready to #LiveCrypto? Who you are: You’ve got positive energy. You’re optimistic about the future and determined to get there. You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow. You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job. You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission. You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money. You’ll spend most of your time collaborating closely with business partners in accounting, product, engineering, finance and data science teams — to ensure we’re supporting the biggest business opportunities. You’ll spend your time with the Data team building models and systems that help scale our data deliverables. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. What you’ll be doing (ie. job duties): Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship. Work across multiple subject matter experts to drive new data initiatives, supporting new product launches, and building and automating reports Establish best practices in implementation of data models, pipelines and reporting. Act as a strategic partner to functional teams; initiate and execute on data projects to help prioritize opportunities and provide actionable recommendations Collaborate with stakeholders in US and Japan to define requirements; design and scope project plans; execute, test and implement data and reporting solutions Work with the broader Data team to find ways to scale our platform through better systems and automation. Develop core metrics and management dashboards to track and understand them. What we look for in you (ie. job requirements): 4+ years of relevant experience Self starter, has the ability to multitask, and able to excel with minimal guidance General experience working with data systems Experience with data processing (ETL), SQL and Python programming language. Strong understanding of key finance business processes (e.g. Accounting, Treasury processes) and products Be able to independently create documentation for new data projects and requests and build collaboration within the team. Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution. Highly collaborative, with an ability to optimally secure inputs from many cross-functional teams Bachelor’s Degree in Computer Science or equivalent practical experience Nice to haves: Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage Previous experience working with financial services data is a plus Domain experience in Accounting and Finance areas Experience with Looker, Tableau or other business intelligence platforms Experience manipulating large amounts of structured and unstructured data. Sounds Cool? Let's work together. Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)). *The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. (G2129) Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, you will be required to be fully vaccinated from COVID-19 (as defined by applicable law). If you receive an offer, you will receive additional information about the grounds and process for an exemption. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
Data Science Manager	Grammarly	Grammarly team members who will be collaborating at our San Francisco hub must be based in the United States. The opportunity Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment. To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company. Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your impact As a Data Scientist Manager, you will: Have a broad scope and an evolving role in a rapidly growing company. Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data. Be a thought leader to influence the product and business partners. Identify new Product and Growth opportunities. Provide data-driven solutions to complex product and growth questions. Advise on experimentation strategy. Identify strategic data needs. We’re looking for someone who Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. Preferably has 3 years of experience managing data science teams. Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills. Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights. Has experience helping others understand numbers. Has practical experience in data analysis, statistics, and experimentation. Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language. Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience. Support for you, professionally and personally Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback. A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs. Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more. For Colorado-based employment: The base salary range (excluding equity) for this position is $192,000-$326,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. We encourage you to apply At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.
Data Scientist	Grammarly	The opportunity Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment. To achieve our ambitious goals, we’re looking for Data Scientists at all levels of experience—early career, senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company. Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your impact As a Data Scientist, you will: Take on a broad scope of work and an evolving role in a rapidly growing company. Conduct deep-dive analyses into user behavior. Quantitatively study large user segments. Develop user segment targeting strategy. Drive direction on the Product and Growth teams. Identify new product and growth opportunities. Opportunity-size new strategic levers. Provide data-driven solutions to complex product and growth questions. Define advanced metrics. Advise on experimentation strategy. Identify strategic data needs. We’re looking for someone who Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. Holds a PhD or master’s degree in a quantitative field. Has 3+ years of relevant work experience. Has experience as an influential and effective thought partner to product teams. Demonstrates strong communication, proactiveness, creativity, and prioritization skills. Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights. Has experience helping others understand numbers. Has practical experience in data analysis, statistics, and experimentation. Is proficient in SQL, Python, R, Scala, or an equivalent language. Support for you, professionally and personally Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback. A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs. Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more. For Colorado-based employment: The base salary range (excluding equity) for this position is $156,000-286,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. We encourage you to apply At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.
Senior Data Scientist	Xsell	XSELL is currently seeking a Sr. Data Scientist to support our growing clientele and continuous improvements to our platform. This position requires experience with machine learning production line and ability to work on the design and implementation side of Data Science services. Additional tasks include working with natural language data, NLP algorithms, and ML models to improve our AI platform with a focus on measured business impact and leveraging statistics to determine the main areas of opportunity for the system to improve as well as ensuring the successful launch of major initiatives. We’re still developing and senior members will play an active role in maturing the organization towards better data flows and data science processes which will include working with team members, performing statistical analysis, and writing code/docs. Ways You Will Contribute: Improving XSELL’s proprietary softwares, real time messaging recommendation system, HiPer using various mathematical, Natural Language Processing (NLP) algorithms and machine learning models.Designing, Developing and Enhancing the current Data Science machine learning pipeline framework for advanced model architectures to improve client models performance.Working closely with DevOps to enhance the Data Science products and microservice environment architecture and support the production deployments of product and models enhancements.Working closely with internal stakeholders to identify the bottlenecks and define new processes to drive efficiencies within the Data Science department.Working closely with Ontology and Reporting team stakeholders to understand the data architecture and support the design and development of Data Science product metrics for measurements and analytics.Planning, development, and analysis of dialogue prediction/sentiment models, causal models of customer/agent behavior.Improving the accuracy of the in house XSELL Recommendation System software suite by evaluating and monitoring annotations manually labeled by Ontology team.Analyzing and researching the current market trends for possible AI opportunities/improvements. What You Will Bring: MS/PhD in a quantitative discipline (e.g. Machine Learning, Data Science, Computer Science, Mathematics, Statistics, or a related field).3+ years full time employment experience building and validating predictive models on structured or unstructured data.Experience in designing/developing production level machine learning architectures (using Flask or Redis)Proficiency in Python with knowledge of basic libraries for data manipulation, machine learning, natural language processing and text mining and experience writing production ready code.Experience with Data Science pipeline components for model training.Experience in designing/developing production level machine learning architectures (using Flask or Redis).Experience creating and using advanced machine learning algorithms (regression, neural networks, etc.)Understanding of deep learning algorithms and experience with related libraries such as TensorFlow, PyTorch.Ability to create structure and processes from scratch and improve existing processes and align team members to them. Experience in SQL is a plus.Understanding of object oriented design.Ability to craft new concepts and stay current with academic research.Experience with graph databases and graph designs. XSELL is committed to a culture of teamwork; where everyone works together to plan, do, learn, and continuously improve. We accomplish that by staying true to our core values. Best Chapter: Every XSELLer is plugged in and focused on writing their “best chapter yet”, both personally and professionally. We believe in working hard to achieve success, but that success only comes if we are doing it together. We do this with a high level of humility, integrity and compassion towards out coworkers. We celebrate and recognize each other and have a lot of fun along the way.Know Us By Our Results: We do what we say and say what we do. Our coworkers and clients will “know us by our results” – we welcome that and embrace transparency and measurement.Do It The XSELL Way: Together we are building an inclusive culture full of top performing, talented people that are striving towards common goals with resilience. People will admire not only the work we do but also that we “do it the XSELL way” – as one team. We do this through strong communication, collaboration and accountability to each other.Open for Business: We are always “open for business” – fiercely committed to improving ourselves, our team and our company. We stay curious and approach every situation as an opportunity to learn and grow.Conversations Happen In the Room: Feedback is imperative to our collective success. We approach the “conversation in the room” with respect, empathy and candor. Our dialogue with each other is always open and honest. XSELL Technologies is an Equal Employment Opportunity Employer and all employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. We are committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, perform essential job functions, and/or receive other benefits and privileges of employment, please contact us. #LI REMOTE #BI-Remote
Data Scientist Auto R D	Clearcover	Our Value Proposition: Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat. In this role as the Data Scientist - Auto R&D : Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a strong leader to build products that create confident, happy customers. What will you do as the Data Scientist - Auto R&D ? Roll up your sleeves to design, gain alignment, and execute on impactful initiatives spanning our customers’ journey Lead a small but mighty team to build the future of our insurance product Collaborate with the State Product Management, Product and Technology, Legal and Compliance, Growth, Marketing, and the ClearAI team to attract the right customers at the right time Democratize data and insights to facilitate data-driven decision-making across Clearcover Embrace and champion agile development practices and function as the day to day scrum master on directly managed team(s) What do you need as the Data Scientist - Auto R&D? 7+ years of experience applying advanced quantitative or predictive modeling techniques Successful track record of managing small teams in an Agile framework Strong intellectual curiosity with a bias towards action Deep insurance knowledge with Auto and Property experience preferred Strong communication skills with the ability to understand and explain P&L concepts to a non-technical audience What would make you an exceptional candidate? Strong programming skills with experience in SQL, and R or Python Extensive product development experience from concept through post launch monitoring But wait, there’s more: As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law. Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
Senior Data Scientist	Truebill	Thank you for checking out our careers page and for your interest in working for Truebill! Truebill is dedicated to providing the best candidate experience possible. We will only reach out to you through official channels with a truebill.com email. Please only apply to roles through our careers page: https://www.truebill.com/careers/. Protect yourself from job scams! A reminder Truebill will never ask for any personal information until we have extended an offer from a @truebill.com verified email. ABOUT TRUEBILL 🔮 Truebill is a YC-backed startup with offices in San Francisco and Washington, D.C. Our DC office is right on the Silver Spring metro! Hundreds of thousands of people use Truebill to manage their daily finances and take control of their money. With a mission to improve the financial health of everyday people, Truebill is transforming the way people manage their expenses and grow their net worth. Through helping people cancel unnecessary subscriptions, negotiating bills, and securing refunds, we save our members money while helping them regain control over their finances. We're looking for a Senior Data Scientist to join our growing team. In this role, you'll collaborate closely with product, engineering, design, marketing and the data team to better understand the needs and usage patterns of our members, build and deploy new features and models, iterate and optimize existing product experiences to help our members take control of their finances and improve their financial health. ABOUT THE ROLE 🤹‍♀️ In this role, you will focus on the following types of problems: Working with product and engineering to predict when a member might overdraft their account based on their spending habits and account balances so that we can warn them in advance Working with a team to develop the next version of Autopilot - ensuring members have money in the right place at the right time for their near and long term goals Working with our engineering and data team to develop the next advances in transaction classification and categorization to better detect subscriptions and power our spending insights Working alongside our product and marketing teams to understand product usage and predict lifetime value and retention of our members and develop ways to serve them better Regardless of the challenges you dive into, you will: Become a subject matter expert in your area of specialty and be responsible for leading data projects from start to finish - making key decisions on both implementation and scope while balancing both technical and business goals Become an expert on our members: understanding their needs and financial goals and work with the data team to measure both their progress and ours Be a steward of good instrumentation and experimental design - designing analyses, models and products in such a way that they are measurable, testable, repeatable, and robust Maintain a high technical bar by participating in code reviews, product and technical design discussions, and focusing on maintaining a high degree of quality in our production data ABOUT YOU 🦄 You have 4+ years of professional experience working in a data science capacity with some combination of Python/scripting language and relational database production experience You embrace the player and coach mindset - taking the lead on solving hard problems to further your own professional development while mentoring those around you in their growth trajectories You care just as much about why you're solving a problem as the types of problems. You want to understand context and the bigger picture of how the problem you're working on is impacting and benefitting our members Experience in one or more of the following in a professional capacity: customer modeling (LTV, Churn), time series prediction, natural language processing and classification, machine learning applied to consumer products You find yourself often building tools to help others solve their problems and try to follow a philosophy of continuous improvement and automation You want to continue to grow and optimize to your learning rate and are excited by hard problems and big challenges Experience with fintech, banking, and consumer transaction data is a plus WE OFFER 💫 Health, Dental & Vision Plans Competitive Pay Matching 401k Unlimited PTO Lunch daily Snacks, Kombucha & Coffee on tap Commuter benefits Truebill, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Senior Data Scientist	Thumbtack	About the Data Science Team We're looking for data scientists with deep expertise in machine learning, optimization, building data products, and/or statistics. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well At Thumbtack, the Data Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science: Characterize marketplace dynamics. Thumbtack’s marketplaces are comprised of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets. Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform. Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product. Responsibilities Design and execute experiments, collect and analyze data to characterize our product Architect and deploy machine learning systems to production Design and implement metrics that align with company goals Analyze a wide variety of data: structured and unstructured, observational and experimental Collaborate with engineering, marketing, and economists to use sound statistical practices. Must-Have Qualifications If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team. M.S. or equivalent experience in Computer Science, Economics, Engineering, Math, Statistics, or other relevant technical field Expert knowledge of machine learning techniques: regression and classification, clustering, neural networks, boosted decision trees, etc. Ability to effectively read, write, and debug code in programming languages such as Python Good knowledge of probability and statistics, including experimental design, optimization, and causal inference Excellent written and verbal technical communication skills Nice-to-Have Qualifications Ph.D. in Computer Science, Economics, Engineering, Math, or Statistics Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference Experience with large-scale distributed systems Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Ontario or the Philippines. When it is safe to gather, we will begin to host in-person events on a regular basis. Remote employees will be expected to travel occasionally for these events to a Thumbtack library or offsite team-building location. In cities with 5+ employees, we are establishing local communities, where employees can gather for local events. Additionally, employees in the San Francisco, Salt Lake City, Toronto and Manila areas will have opt-in access to communal workspace at one of our Thumbtack libraries. We always prioritize the health and safety of our employees. Currently, participation in these events and Thumbtack library use are optional. Both require employees to be fully vaccinated. #LI-Remote
Lead Data Scientist Emea M F D	Rain	ABOUT THE ROLE Rain is looking for an experienced and passionate senior data scientist in our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Rain and improve user experience for our customers. Responsibilities Work with the risk and underwriting team to move from rules-based to predictive underwriting models Create new predictive variables using your intuition, data insights, and automation techniques Discover and evaluate the reliability of new data sources Automate the creation of machine learning models Underwrite customers and help define credit line limits and pricing Thwart any fraudulent activities through superior data processes Collaborate with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Works closely with a team of frontend and backend engineers, product managers, and analysts. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Requirements Fluent English 4+ years of experience in a data science role Experience with or knowledge of R, SAS, Python, Matlab, SQL, noSQL, Hive, Pig, Hadoop, Spark Able to build modern machine learning models using the aforementioned tools Be an advocate for a data driven culture Excellent problem solving and troubleshooting skills Process oriented with great documentation skills Excellent oral and written communication skills with a keen sense of customer service BS or MS degree in Data Science, Computer Science or a related technical field Knowledge of best practices and IT operations in an always-up, always-available service
Data Science Lead Us	Rain	We’re looking for a Data Scientist/Credit Modeler with startup experience to be our firstDS boots on the ground and launch our credit modeling function at Rain. You’ll wearthree hats: a high-performing individual contributor that will launch productionizedmodels, a leader that can build a data science team, with global dynamics, around youto tackle the unique challenges we’re facing, and a technically savvy strategic thinkerthat can be a thought partner to Credit, Product, and Engineering counterparts in settingup pipelines and other infrastructure to deploy insights at scale. Reporting through thecredit part of the organization, we’ll look to you to help develop and automate solutionsto complex business problems ranging from building credit models that touch on the fullcustomer lifecycle, to advanced forecasting, to customer segmentation, to optimizingpersonalized experiences on our platform. Key Responsibilities● Identify and solve business challenges with advanced data science andanalytical tools● Partner with the credit team, product team, and engineering to translate businessinsights into productionalized models● Work cross functionally to design and set up the necessary pipelines andinfrastructure to deploy these productionalized models at scale throughout theorganization (inclusive of across numerous geographies)● Act as a thought partner to our senior leadership to help design and execute on awinning data-driven strategy● Understand and deploy the best tools/methods to effectively communicatecomplexities as needed to cross-functional teams Skills:● 4-8 years of experience in a credit modeling or data science role● Degree in a quantitative field: economics, statistics, finance, computer science,or engineering● Expert in SQL and Python● Experience with pipeline development and model deployment (and maintenance)● Excellent communicator with the ability to explain ideas and concepts to DSnatives and novices alike● Entrepreneurial thinker with a bias for action● Experience working in a fast-paced, resource constrained, environment● Ability to successfully adapt and adjust to changes in business, regulatory, andeconomic environments● Firm understanding of personal finance and credit industry best practices● Ability to work under tight deadlines and exhibit grace under pressure● Desire to improve consumers' financial situation but ability to make toughdecisions
Data Scientist	Amwell	Amwell, a leading telehealth platform in the United States and globally, seeks a highly motivated Data Scientist. Amwell believes that digital care delivery will transform healthcare. We offer a single, comprehensive platform to support all telehealth needs from urgent to acute and post-acute care, as well as chronic care management and healthy living. With over a decade of experience, Amwell powers telehealth solutions for over 150 health systems comprised of 2,000 hospitals and 55 health plan partners with over 36,000 employers, covering over 80 million lives. Brief Overview: Working closely with cross-functional business partners, the Data Scientist will independently wrangle data, conduct statistical analyses, and uncover analytic insights that drive operational performance, client performance, industry knowledge, and product innovation. The ideal candidate is a self-starter with insatiable curiosity. The incumbent must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through. Core Responsibilities: Develop scalable and automated analytic processes and workflows Independently develop ETL data flows Ensure quality and accuracy of data assets and analytic deliverables Develop novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction) Identify and lead development of analytic insight that drive product innovation, operational and client performance, and industry trends Conduct statistical analyses, e.g., exploratory data analysis, unsupervised and supervised learning, and statistical modeling (including machine learning) Deploy statistical/machine learning models Conduct experiments Proactively identify and lead initiatives to improve processes for, and quality of, data assets and analytic deliverables Analyze data for anomalies and early indication of bugs in deliverables Build intuitive and modern analytic products, including incorporating data visualization best practices Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, GCP, R, Python, Tableau, etc.) Document and check-in programming scripts, processes, and deliverables Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work Qualifications: 3+ years of experience as a data scientist/applied statistician (e.g., building advanced statistical and machine learning models) 3+ years of SQL, including complex queries of multiple data sources 2+ years of developing scalable and automated ETL processes 1-3 years of experience in the SaaS industry (preferably in a data analyst type role) is a plus Intermediate to advanced knowledge of mathematical statistics Expert level proficiency with R, Python, Stata, or other high level data analytic programming languages Expert level data visualization skills Basic to intermediate proficiency with general purpose programming languages (e.g., JavaScript, VB, PHP, C++) Knowledge of BI tools (e.g., Tableau, Looker, Domo) is a plus Knowledge of NLP is a plus Capable of working on multiple projects and context shift quickly in a fast-paced environment Ability to translate incomplete or immature objectives into well- defined requirements Excellent verbal and written communication Familiarity with the health care industry is a plus Bachelors or higher in a Quantitative Analysis field (e.g., Mathematics, Statistics, Economics, Engineering, Computational Sciences) Working at Amwell Amwell is changing how care is delivered through online and mobile technology. We make online doctor visits accessible to everyone for one-off care issues like colds or infections, and chronic condition management, such as diabetes or depression. We make the challenging work of healthcare looks easy and requires a mission-driven mentality. We are a “go getter” culture that prides itself on smarts, initiative, creative thinking, and a strong work ethic. Our corporate headquarters are in downtown Boston at 75 State Street – in the heart of the city. In addition to the opportunity to build the future of healthcare technology and a terrific location, we offer: Unlimited Personal Time Off (Vacation time) 401K match Competitive healthcare, dental and vision insurance plans Free gym access – on-site Prime office space with views overlooking all of Boston Complimentary snacks and drinks
Data Scientist	Firebolt	Responsibilities Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt Conduct data analysis to determine which policies we adopt and help inform strategic growth Build machine learning infrastructure, data pipelines and production ready services to serve live traffic Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business Requirements MS in Computer Science, Computer Engineering, or related field 4+ years of experience building large scale recommendation engines, ranking, and personalization systems Thorough understanding of machine learning fundamentals and methodologies Experience building and deploying machine learning models in an applied setting Strong understanding of how to build scalable ML systems supporting online and offline applications Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML Familiarity with best practices of lifecycle management for ML models in industry Mastery of a programming language such as Python, Java, Scala Preferred PhD in computer science or related field Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc. Industry experience in building large-scale recommendation systems in a consumer-based setting. Technical Experience AWS Lambda for data ingestion and Kinesis Firehose to transport them into S3 Step functions and Lambdas to coordinate workflows AWS Redshift as the data warehouse + Spark on EMR for doing ETL Terraform for maintaining infra Jenkins & CircleCI for build pipelines Postgres RDS is our application database Our code base is primarily in Golang & Typescript. However, our data bits are mostly in Python. Check out our Engineering Blog!
Senior Data Scientist	Demandbase	About Demandbase: Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area. We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! Here’s What Data Scientists do at Demandbase: You will be a member of Demandbase’s Central Data Science team that drives product innovation and is responsible for all ML/AI initiatives and projects. We build and apply ML models at every stage of the B2B buyer’s journey. Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren’t yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site. Once ML-generated account lists are built, we launch campaigns to generate awareness and traffic to target sites. Our Data Scientists build pacing, pricing, click-through rate, and engagement models using tens of billions of auctions daily to optimize campaign performance. We build reinforcement learning algorithms to optimize the user experience when potential prospects click on ads/banners and visit our customers’ websites. Our Data Scientists build real-time intent using time series analysis to trigger an alert for sales after potential prospects share their contact information, to contact prospects when there’s an intent surge. ML models are a significant differentiator for each of our offerings in the ABM platform, Targeting, Conversion, and Intent products. Our Data Scientists not only build ML models, but are also substantially involved in productizing the models, and working closely and cross-functionally with data engineering, application, product, and UX design teams to deliver the world’s best account-based marketing and advertising product. Below are examples of some of the types of projects you can expect to work on: Identification and account intelligence: map billions of IPs and cookies to companies Rank accounts in B2B buying journey Intent: develop a browsable taxonomy of intent signals What you'll be doing: Develop Machine Learning algorithms that optimize and make an immediate business impact on KPIs. Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance in production environments. Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences. Stay current with the latest technology/research and drive innovation. What we're looking for: 3+ years of data science experience Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field Driven more than one greenfield project from concept to production release Proficiency with analytical and database tools (e.g. Jupyter notebooks, Hive, SQL, No-SQL) Demonstrated ability to write clean and performant code in Python Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms. Nice to have skills: Experience leading teams and projects Experience with Google Cloud or AWS Prior experience in Martech/Adtech space Nice to have qualities: You are highly self-motivated and able to operate with significant autonomy You are able to break down complex problems and come up with simple innovative solutions You are able to focus on the goals without getting lost in the details Data is your thing, you love metrics and use metrics to drive projects You are willing to build end-to-end and own the machine learning products you build or help build Benefits: Our benefits include options for up to 100% paid Medical, Dental, and Vision premiums for you and your entire family, $1,000 personal development stipend, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, Headspace, Ginger, and 13 paid holidays. Plus 401(k), short-term/long-term disability, life insurance, and all those good things. We are a fully remote company with the option to work in an office (San Francisco, San Mateo, Seattle, and NYC) for those who are fully vaccinated and want to get out of the house.
Sr Manager Data Scientist Emerging Merchant Businesses	Capital One	Overview 11 West 19th Street (22008), United States of America, New York, New YorkSr. Manager, Data Scientist - Emerging Merchant Businesses (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: Emerging Merchant Businesses is a new team dedicated to discovering and accelerating high-growth opportunities at Capital One. Our newly formed organization is composed of incredibly exciting Capital One businesses, including Capital One Shopping, Flex Pay, and Apollo. As part of the EMB team, you will work alongside experts across customer experience, data, technology (and more!) who are moving quickly to find the next big business at the company. We are looking for talented associates who are motivated to be part of this journey and help us shape the future of Capital One, growing and learning with a team who will invest in your development, foster an inclusive environment, and lead with heart to change banking for good. As a Sr. Manager Data Scientist on the Apollo team in Emerging Merchant Businesses, you are a part of a team that develops the core technology which drives our industry-leading understanding of the U.S. business landscape, generating valuable business insight from many disparate sources. The Apollo team is building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation. Role Description In this role, you will: Manage and lead a data science and engineering team and the quality of all technical deliverables: functional application, reporting, and documentation.Play a vital role in the conception, planning, and prioritizing of data projects.Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveFlex your interpersonal skills to translate the complexity of your work into tangible business goalsLeverage a broad stack of technologies — Python, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementation The Ideal Candidate is: A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor’s Degree plus 7 years of experience in data analytics, or Master’s Degree plus 5 years in data analytics, or PhD plus 2 years of experience in data analyticsAt least 3 years of experience in open source programming languages for large scale data analysisAt least 3 years of experience with machine learningAt least 3 years of experience with relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 1 year of experience leading a teamAt least 1 year of experience with version control, CI/CD, and containerization/deployment technologiesAt least 5 years experience in Python, Scala, or R for large scale data analysisAt least 5 years experience with machine learningAt least 5 years experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager Data Scientist Emerging Merchant Businesses	Capital One	Overview 11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Scientist - Emerging Merchant Businesses (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: Emerging Merchant Businesses is a new team dedicated to discovering and accelerating high-growth opportunities at Capital One. Our newly formed organization is composed of incredibly exciting Capital One businesses, including Capital One Shopping, Flex Pay, and Apollo. As part of the EMB team, you will work alongside experts across customer experience, data, technology (and more!) who are moving quickly to find the next big business at the company. We are looking for talented associates who are motivated to be part of this journey and help us shape the future of Capital One, growing and learning with a team who will invest in your development, foster an inclusive environment, and lead with heart to change banking for good. As a Manager Data Scientist on the Apollo team in Emerging Merchant Businesses, you are a part of a team that develops the core technology which drives our industry-leading understanding of the U.S. business landscape, generating valuable business insight from many disparate sources. The Apollo team is building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years in data analytics, or PhD plus 1 year of experience in data analyticsAt least 2 years of experience in open source programming languages for large scale data analysisAt least 2 years of experience with machine learningAt least 2 years of experience with relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 1 year of experience with version control, CI/CD, and containerization/deployment technologiesAt least 4 years experience in Python, Scala, or R for large scale data analysisAt least 4 years experience with machine learningAt least 4 years experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Data Scientist	Ottertune	Who We Are At OtterTune, we make database optimization simple. Our main offering is a cloud service that uses machine learning (ML) to automate the difficult process of database performance tuning. Based on cutting-edge database and ML research at Carnegie Mellon University, OtterTune analyzes a customer's database activity and learns the best configuration for it, thereby boosting database performance and lowering costs. OtterTune's recommendations frequently outperform those of experienced database administrators. About the Role We are hiring a Data Scientist to power up our product and business decision-making abilities. This position will involve setting up data models and extracting new knowledge from the database telemetry data (e.g., AWS Performance Insights metrics) that OtterTune collects. An example of a question that our Data Scientist could answer with this data is what is the most common performance problem in a category of databases. Another could be how a customer's database changes when they upgrade versions. Such information will guide critical strategic decisions as we scale up our product. You will work closely with leadership, the product team, and the engineering team to carry out your work. You will also work with the marketing team to publicly discuss and present findings from your analysis outside of the company to promote OtterTune's ability to help database users. This role is a unique opportunity to join OtterTune in the early stages of its development where you can make a significant impact on the growth and adoption of our state-of-the-art product. You Will Design, build, and deploy analytics pipelines to empower business and product analysis and help us better understand our users. Build dashboards and visualizations for both internal and external consumption (e.g., blog posts, social media, presentations). Watch data trends and work with leadership to drive prioritization decisions. Work with the marketing team to develop novel insights about how customers use databases across different application domains. You Might be a Fit for the Role if You Have 3+ years working as a Data Scientist (or related role). A degree in a quantitative field (such as Statistics, Mathematics, Computer Science, Engineering, or related field). Experience building data visualizations and dashboards powered by statistical analysis used to inform business decisions. Experience with implementing anomaly detection pipelines. Experience with scripting languages such as Python, R, or a similar language. Advanced experience with SQL and using data warehouse or database technologies (e.g., dbt, Legend). Some experience using and administering MySQL or PostgreSQL databases (only a bonus). We Would Still Like to Hear From You Humans never stop learning. Everyone learns on the job, no matter what job it is. OtterTune employees are encouraged to take time to level up their skills. Even if you do not check all of the boxes, please reach out to us about this position if you are interested. Building an Inclusive Workplace OtterTune is an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. OtterTune embraces diversity and provides equal employment opportunities to all employees and applicants for employment. OtterTune prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior Data Scientist Machine Learning Platform	Wealthsimple	Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever. Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas. We’re a remote-first team and output is more important than facetime, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work. At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. Data Science & Engineering The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by: Building a high quality and scalable state-of-the-art data warehouse that powers all decision making Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products Using decision science to understand the cause and effect of our business decisions The Role - Machine Learning Platform Team We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products. As a Software Engineer on the Machine Learning Platform team, you will play a pivotal role in our mission to build a self-serve ML Platform to enable data scientists to do their best work. As such, you will work closely with the area owners, data scientists and other software engineers to improve our ML-ops tooling and support the launch of new data products. In this role, you will have the opportunity to: - Partner with stakeholders across different product domains, infrastructure to tackle technical problems at scale, which includes building framework agnostic services to support all of Wealthsimple’s machine learning needs - Establish roadmap and architecture for Wealthsimple’s Machine Learning platform - Contribute to the suite of tools and services that power our platform: Airflow, tensorflow-serving, FastAPI, MLflow, etc. - Work with a large amount of autonomy to set the technical direction for scalable projects We are looking for people who have: - Excellent Python skills - Experience with design and implementation of high performance systems with reliable monitoring and logging - Experience owning an application end-to-end and are able to understand and address infrastructure concerns - Bonus points for hands-on experience in machine learning and data modeling
Staff Data Scientist	Included Health	The Role: The Included Health Data Science Team is at the heart of the company’s mission to remove the frustration that exists today in navigating the healthcare system and improving the health and lives of everyone. We are developing systems and models to identify the highest quality doctors in the country as well as methodologies to uncover the subtle differences between each physician’s clinical expertise. Additionally, patient-level modeling allows us to understand the specific healthcare needs of every person. With a high fidelity understanding of both patients and physicians we are able to route patients to the most appropriate and highest quality care in line with their specific needs. In addition to developing the company’s core technologies, data scientists provide decision support analysis for many teams across the organization including product development, sales, marketing, and strategy. Data scale ranges from small data sets that fit on a single laptop to large multi-terabyte clinical information in distributed database systems. We regularly deal with class imbalance, noisy data, huge feature sets, and balancing advanced solutions with interpretable results. We write production code that is tested and maintainable, and look for machine learning implementations that balance cutting edge solutions with maintainability and simplicity. Example Projects: Driving Clinical Outcomes and Savings. You will play a key role in optimizing the quality of care delivered to Included Health members and customers and minimizing the total cost of that care. You will develop new machine learning models to understand how care is delivered to patients, and help patients discover the providers and services that will deliver the best care for them. Data Science can be an important partner in helping the Care Team provide the best experience to members. Measurement across interactions can help to identify opportunities for efficiency improvements, inform product opportunities, and help drive high quality care. This role provides the opportunity to join an early stage research effort and be instrumental in setting the direction of future initiatives. Modeling of Member Journey. As Included Health has expanded its product offerings, the Data Science team has access to a wealth of data about how people use these products. Modeling work in this area ranges from identifying members that are most in need of specific services to predicting the expected value of interactions with a member. Using these models and systems we can customize services to a member’s unique needs and optimize their path through the healthcare system in order to provide them better care. In this role you will develop creative solutions to drive personalization throughout the member experience and work cross-functionally with product, engineering, marketing and clinical teams. Responsibilities: Develop creative solutions to diverse problems including engineering challenges, unstructured data messes, ontology development, and machine learning applications Lead and develop major projects from end-to-end encompassing planning, design, technical implementation, roll-out to Product & Engineering, measurement, and iteration Operate at a high level of sophistication in statistics and machine learning Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering Evaluate and experiment with new technologies and facilitate adoption by the team Work closely with analysts, data scientists, product managers, and engineers Drive business impact across the organization by identifying underserved opportunities and implementing robust technical solutions Qualifications: Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators Experience as a Technical Lead on cross-functional initiatives and the ability to demonstrate success in driving impact with cross-functional partners and stakeholders Required: Python, SQL, linux shell scripting, end-to-end model development development and deployment Experience with SQL relational databases as well as big data: the Hadoop ecosystem, Hive, Spark, Presto, etc Prior experience with Amazon Web Services or Google Cloud Platform Degree(s) should be in a technical discipline such as Computer Science, Engineering, Statistics, Physics, Math, quantitative social science. MS or PhD with leadership experience preferred. Cherry on Top: previous work on medical applications and/or with claims data #LI-Remote #LI-MJ1 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	Included Health	The Role Data Scientists at Included Health focus on contributing robust code to our machine learning platform in order to support our modeling of clinical outcomes, cost of care, and engagement. You’ll contribute to a production Python codebase and develop models in challenging datasets. We regularly deal with class imbalance, noisy data, huge feature sets, and balancing advanced solutions with interpretable results. We write production code that is tested and maintainable, and look for machine learning implementations that balance cutting edge solutions with maintainability and simplicity. This role will use insurance claims, free text, product data, and other data sources to help identify members’ needs, match members to top providers, and determine which providers have the experience in particular domains. You will have the opportunity to work on projects like... Predict a provider’s sub-specialization. A member’s care can be greatly enhanced if a clinician is particularly skilled in the treatment of specific conditions. For example, some neurologists might specialize in treating migraines, while others are generalists. While we can easily tell that a provider is a neurologist, we need to apply statistical techniques to insurance claims to infer their more nuanced expertise. Work like this helps us recommend the ideal physicians to meet our members’ needs, whether those be general or highly specialized. Recommending High Value Care. With an expanding list of products and services, we want to be able to guide our members to the best care for their needs. We’re building a platform that can understand a patient’s needs and make recommendations that satisfy those needs. This work involves analyses to understand the problem and scope approaches, modeling, prototyping, and developing an API that production services can make use of. Finally, we’ll need to partner closely with application teams to roll out this tooling Areas of ownership... Lead and develop projects from end-to-end encompassing planning, design, technical implementation, debugging, roll-out to Product & Engineering, testing, and iteration Help maintain our clinical measurement and modeling tools, including our PySpark ML platform Train and improve clinical, cost, and recommendation models Evaluate and experiment with new technologies and tools prior to wider adoption by the team Operate at a level of sophistication in statistics, machine learning, or computer science that is publication-worthy Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering Work closely with analysts, data scientists, product managers, clinicians, and engineers Solve problems and build solutions that have a direct impact on improved clinical outcomes and longer, healthier lives for millions of people What we look for... Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators Business intuition and product sense that help you identify the most impactful projects to work on to address current and future business needs (think, Data Science embedded in Product) More than a few years of production coding and modeling experience, and a track record of leading teams or projects with a few other individuals involved Work experience on a team, coordinating deliverables across complex efforts Experience with SQL relational databases, as well as big data Required: Python, SQL, linux shell scripting Prior experience with Amazon Web Services Nice-to-Have: background in Behavioral Health or HealthTech; PySpark experience Why join us? Hop on a rocketship: Included Health has recently become the second-biggest digital health company in the US. With a $3B+ valuation, a recent merger and acquisition completed, we are primed for continued success in a big way. Accelerate your career: Forbes’ recently named us a Best Startup Employer, we’ve been voted a Glassdoor Best Places to work, and a 4x Career-Launching Company by Wealthfront. Roll up your sleeves and partner with experts with all kinds of experience: We hire for intellectual curiosity, humility, and hunger for impact. In this role you’ll get exposure across the company in many strategic projects where you’ll work closely with partners across data science, product and engineering who share a singular goal: make healthcare better for everyone. Make healthcare work for millions of people: We’re taking on healthcare head-on. End each day knowing that your work is transforming a $3.6 trillion industry and millions of people’s lives for the better. #LI-Remote 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.
Sr Data Scientist Marketing Acquisition	Rippling	About The Role At Rippling, one of our core competitive advantages is the sheer number of products that we are able to offer our clients — over 20 SKUs and counting. This means that driving expansion revenue from cross-sell and upsell is critical to the company’s growth. We are investing heavily in this motion. That’s where you come in! We’re looking for a seasoned analyst to help us answer questions such as: what types of customers are likely to purchase which products? What channels should we use to target what customers using what messaging and when?? This role will also partner closely with cross-functional teams to identify what metrics to measure for campaign success and deep dive into the data to provide insights for future campaigns/optimization. As an early Data hire at Rippling, you’ll have the opportunity to dive into datasets to influence decision-making & impact strategy. If you are a self-starter who enjoys finding patterns and speaking through data, we’re looking for someone like you! What You’ll Do: Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools and present insights & learnings in verbal and written forms through BI tools, such as Tableau. Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress. Proactively provide insights to help business and business leaders understand marketplace dynamics, user behaviors, and long-term trends. Produce recommendations and use statistical techniques and hypothesis testing to validate your findings. Identify and measure levers to help move essential metrics and make recommendations. Collaborate with marketing teams (e.g. growth marketers, PMMs, and PMs) and product analytics teams to identify campaign success metrics, analyze campaign performance and user experience, and provide insights for campaigns/optimization. Work autonomously as an individual contributor as well as showcase horizontal leadership, driving initiatives to completion and proactively identifying opportunities that will move the needle in the long run. Qualifications: 5+ years of marketing analytics work experience with a Bachelor's Degree in Analytics, Data Science, Economics, Statistics or a related field. Or 3+ years of marketing analytics work experience with a Master's Degree in Analytics, Data Science, Economics, Statistics or a related field. Strong proficiency in SQL, R/Python, Tableau, or other Business Intelligence tools. Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision-makers. Ability to actively manage and influence stakeholders through strong business communication skills, both verbal and written forms. Ruthless prioritization and time management. Organized, attentive to detail, and intellectually curious. Experience in marketing campaign analysis focusing on cross-sell and up-sell through email & in-product channels preferred. Experience with B2B SaaS companies preferred.
Sr Data Scientist Marketing Analytics Cross Sell	Rippling	About The Role At Rippling, one of our core competitive advantages is the sheer number of products that we are able to offer our clients — over 20 SKUs and counting. This means that driving expansion revenue from cross-sell and upsell is critical to the company’s growth. We are investing heavily in this motion. That’s where you come in! We’re looking for a seasoned analyst to help us answer questions such as: what types of customers are likely to purchase which products? What channels should we use to target what customers using what messaging and when?? This role will also partner closely with cross-functional teams to identify what metrics to measure for campaign success and deep dive into the data to provide insights for future campaigns/optimization. As an early Data hire at Rippling, you’ll have the opportunity to dive into datasets to influence decision-making & impact strategy. If you are a self-starter who enjoys finding patterns and speaking through data, we’re looking for someone like you! What You’ll Do: Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools and present insights & learnings in verbal and written forms through BI tools, such as Tableau. Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress. Proactively provide insights to help business and business leaders understand marketplace dynamics, user behaviors, and long-term trends. Produce recommendations and use statistical techniques and hypothesis testing to validate your findings. Identify and measure levers to help move essential metrics and make recommendations. Collaborate with marketing teams (e.g. growth marketers, PMMs, and PMs) and product analytics teams to identify campaign success metrics, analyze campaign performance and user experience, and provide insights for campaigns/optimization. Work autonomously as an individual contributor as well as showcase horizontal leadership, driving initiatives to completion and proactively identifying opportunities that will move the needle in the long run. Qualifications: 5+ years of marketing analytics work experience with a Bachelor's Degree in Analytics, Data Science, Economics, Statistics or a related field. Or 3+ years of marketing analytics work experience with a Master's Degree in Analytics, Data Science, Economics, Statistics or a related field. Strong proficiency in SQL, R/Python, Tableau, or other Business Intelligence tools. Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision-makers. Ability to actively manage and influence stakeholders through strong business communication skills, both verbal and written forms. Ruthless prioritization and time management. Organized, attentive to detail, and intellectually curious. Experience in marketing campaign analysis focusing on cross-sell and up-sell through email & in-product channels preferred. Experience with B2B SaaS companies preferred.
Senior Manager Data Analytics	Modernize	Job Category As a key member of the Strategic Marketing & Analytics team, you will be responsible for data-driven insights that enable QuinStreets Marketing and Media teams to maximize profitability while developing customer relationships. You will gather, organize, and aggregate complex sets of data in order to produce meaningful business insight in areas such as ad network optimization, ad merchandising, marketing performance, quality monitoring, partner development, product testing, and more. You will also communicate your insights and findings to various members of our Client, Media, Analytics, and Executive teams. Responsibilities Work closely with media and client managers to understand business opportunities for media, client and market growth. Actively mine data to develop actionable insights from our proprietary datasets using various statistical techniques. Evaluate strategies and forecast their expected impact to the key performance indicators. Support analysis and monitoring of business metrics and trends. Key liaison between business and technical teams in managing day to day data analytics. Qualifications: Record of high academic achievement with a BS degree in Business, Economics, Engineering, Math/Science, or otherwise proven background in business/analytics. MS preferred. 5+ years of work experience in data analytics/science. Strong understanding of statistical methods used in to elicit insights from data. Strong analytical mindset with a drive toward actionable insights from data. Deep interest in online marketing and media industry. Industry experience a plus. High internal motivation with ability to understand the full stack of product development. Willingness to initiate and own research, exploration, and analysis from start to finish for any business problem. Good interpersonal skills and ability to remain focused-yet-flexible in a fast-paced internet company environment. Proficiency in MS Excel, Tableau and SQL. Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc analysis. #LI-REMOTE
Data Scientist	Luckbox	Are you passionate about solving real-world challenges using cutting-edge artificial intelligence (AI) and machine learning (ML) technology? You will be part of an ambitious team of scientists and software engineers with the goal of creating better products for our customers. You and your team will work to develop proof of concepts and transition promising new technology into products. As a Data Scientist, you will have the opportunity to explore exciting and diverse data, work with cutting-edge algorithms and technologies and participate in the development of solutions that generate new insights and products for the gaming industry. If you are a self-driven, highly motivated and driven by success then this is the role for you. Responsibilities: Manage and execute analysis pipelines using cloud computing platforms such as AWS Independent creation of forecast models and support for the implementation of these models in the existing processes Use of state-of-the-art methods for data analysis and modelling (especially from the areas of machine learning, statistics, data mining and time series) Independent management of data projects and coordination with the requirements of various stakeholders Communication of the results obtained to the management Collaborate with talented data scientists, data engineers, software developers, and other stakeholders in an agile environment.
Senior Data Scientist Growth Analytics	Reddit	"The front page of the internet,” Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. The Growth team plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through data initiatives like understanding our user segments, how to personalize Reddit’s communication to our users, and present the most relevant content to users. As the team’s Data Scientist, you will play an influential role in guiding product strategy through proactively surfacing insights, conducting exploratory analyses and executing advanced experimentation. How You’ll Have Impact: Today, Growth touches a large swatch of features at Reddit. As a key member of the team that owns notifications (email and mobile), you’ll help us refine our Growth strategy through playing with one of the richest datasets at Reddit and uncovering user insights. Your work will help us understand how we reach out to our diverse users and communities, different user types and top Reddit use cases that will propel the next wave of Growth. What You’ll Learn: You will be deeply integrated with our tight-knit team, which moves quickly and runs experiments on a variety of initiatives at Reddit. You’ll play a key role in determining the notification strategy and other improvements for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation and user funnels that will impact the entire company. In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference. What You’ll Do: Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Growth levers) Conduct exploratory analyses to size new opportunities for how Reddit communicates w/ users or deepen their engagement with Reddit communities Partner with Engineering and Product to define and execute Growth’s roadmap and initiatives Design and evaluate A/B tests and product feature experiments to influence product strategy Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards Present findings to senior leadership and inform product decisions Who You Might Be: 6+ years of experience in data analytics or related quantitative role Demonstrated ability to influence and guide product strategy with data Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Strong ability to communicate and discuss complex topics with technical & non-technical audiences Familiarity with causal inference techniques and causal models Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Quantitative Markets Analyst	Affirm	We’re looking for a smart, driven individual to join our Quantitative Markets team. The Quantitative Markets team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building data-driven models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate has the strong technical skills required to develop and implement quantitative and/or machine learning models. What you'll do Ensure the resiliency of new and existing funding agreements by enhancing and expanding the team's suite of structuring, monitoring, and analysis capabilities Develop automation tools and optimize models to create operating leverage for the team and the business Provide insights on capital markets deals to cross-functional teams to enable more optimal and efficient funding strategy and merchant pricing Work closely with the Capital Markets team to evaluate, structure and price consumer asset-backed transactions Build data-driven models to analyze and predict the performance of Affirm’s consumer loans Partner cross-functionally with our Treasury, Capital Markets, Risk, Commercial, Product and Engineering teams to evaluate funding, product, and business decisions What we look for 1-3 years of relevant experience in technical areas (e.g. data science, data analytics, quantitative finance). Intellectual curiosity, a growth mindset, and an emphasis on relentless self improvement Strong data-manipulation and model development and implementation skills using tools such as Python/R Experience building quantitative models or implementing machine learning models is a plus Strong interpersonal and communication skills, and ability to collaborate and influence across different teams in the organization Desire to understand the broader context of business decisions Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment Location - Remote U.S. Grade - USA28 #LI-Remote
Senior Data Scientist Insights And Data Enablement	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. With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further. Atlassian is looking for a Senior Data Scientist in our newly formed Insights and Data Enablement team part of our Open Toolchain organisation. We're looking for someone with business instincts, creativity, analytics mastery, and great understanding of software engineering teams; someone who is passionate about applying these skills to help build data and insights features for our product to influence how our customers work. You'll be part of the Insights and Data Enablement team where our mission is to unleash a new wave of team growth through actionable data and insights for our customers at every level of the organisation. We care deeply about how our customers work and seek to build data and insights features to discover, improve and amplify our customers work and team health. As an emerging space, you will have leverage to change our business and influence the whole industry. In this role you will get to: 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 customers to influence the way they workWork with Product and Engineering Leaders in the Insights and Data Enablement team to identify opportunities they should add to their roadmapBuild on our initial efforts to understand what drives successful team outcomes for our customers, utilise the data we have from our products to prototype product features to help our customers become more successfulPromote a measurement culture and understand the impact of our strategy; including designing and analysing experiments and feature launchesEnvision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and other data scientistsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decision On your first day, we expect you to have: Experience 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).Experience working on prototyping and building data and insights product featuresExperience applying your analytics skills to identify and lead projects that have had proven impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementA very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, dash, Microstrategy)Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers), and creating compelling storiesProject management and prioritisation experience; preferably with Data Engineering, Product Management, and Software Engineering teamsExperience using statistics as part of your roleA degree in a quantitative discipline (e.g. statistics, mathematics, physics, engineering, computer science, econometrics) It's a bonus, but not required, if you have Previously worked in global teams and high-growth businessesAppreciation and understanding of industry metrics that track and measure developer productivity (e.g. Dora, Space metrics)Advanced degree (Masters, PhD) in Computer Science, Mathematics, Statistics or other STEM fieldAn understanding of SaaS development, business model and metricsExperience building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community
Principal Decision Scientist	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. Your future team Atlassian is looking for a Principal Decision Scientist with technical skills to join the Decision Science team and own our total customer potential model(s) and strategy. What you'll do Work with both technical and non-technical partners across Marketing and Product to clarify Atlassian's future potential and identify levers to access that potential.Expand the existing model to use dynamic features and flexible outputs to solve the use cases of more partners.Find ways to measure the incrementality of levering the model through experimentation and funnel analysisEmpower partners by giving them the ability to self-serve using Tableau dashboardsApply creative analytical skills to several types of business questions to deepen our understanding around the potential and propensity of each Atlassian customer Your background 8 + years of experience in analytics or related fields4 + years of experience in potential/projection modeling2 + years of experience in attribution, incrementality or experimentationA track record for creating raw data and analysis into well-written contentComfort with structuring and coaching others to work through open-ended business questions through analyticsAdvanced proficiency in SQLA willingness to learn and adapt to new technologies and methods as needed
Senior Manager Data Management	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. 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. What you'll do Develop relationships with leaders across data science, data engineering, data platform, and other teams to understand and influence requirements that support the strategic goals of Atlassian.Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.Develop business cases and roadmaps for transformational data projects that unlock the potential of the team.Partner with the data engineering and platform teams to Identify, and support short, medium and long-term portfolio of projects that satisfies the data layer and quality roadmapsWork 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 decisionsAbility to explain data science concepts to diverse audiences, and build decision confidence by sharing expertise of facts and uncertainties Your background 3+ years of data science, analytics and/or data engineering leadership experienceExperience applying analytics knowledge to work across data science, engineering, and platform teams to deliver foundational data layers.An Agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speedFamiliarity working with Data Engineering, Product Management, Engineering, and Data Platform teams.Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)An understanding of the SaaS development, business model and metricsExperience in A/B experimentationA degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
Senior Manager Web Analytics And 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 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. Your future team Our Customer Analytics team is comprised of individuals with backgrounds in data science and analytics. We collect, organize and analyze data to help our business partners make informed decisions. We're looking for an Analytics & Data Science leader (Manager or Senior Manager) with business instincts, team development, creativity and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, guide smarter product decisions, and delight our customers. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian. What you'll do Collaborate with Atlassian's product leaders (responsible for www.atlassian.com, support.atlassian.com & community.atlassian.com) to provide data-driven viewpoints on strategic decisions, identify high impact opportunities for analysis and align priorities with the company strategy and product roadmapLead a team of data scientists and plan roadmaps by collaborating with product partners, customer research, data engineers, machine learning engineers and other data scientistsDesign targeted explorations of our big data, to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueAccelerate web experimentation through best practices, tooling and clear recommendationsBe 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 your partners use data to make decisions Your background 3+ years leading analytics or data science teamsExperience applying your analytics to projects which have had a positive impact to company level business and product decisionsA very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speedCraft compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertaintiesFamiliarity partnering with multiple departments. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsExperience encouraging teamwork in a "work from anywhere" environmentPrevious experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Varied experience applying a range of data science techniques (eg: exploratory data analysis, experiment design, propensity modeling or attribution)An Agile development mentality, appreciating the benefit of constant iteration and improvement
Senior Data Scientist Data Scientist	Pixelberry Studios	Pixelberry Studios is a top mobile games developer, creating fun and engaging games with heart for over nine years. We’re a division of Nexon, one of the Top 10 largest gaming companies in the world. Our studio is 3-for-3 launching games into the App Store's Top 25 Grossing chart. Our market-leading, award-winning mobile game, Choices: Stories You Play, broke into the Top 5 in the App Store. Our vision for success is based around innovative game design, diversity, and putting our players first! We've seen firsthand the positive impact that games can make. Because of that, we leverage our commercial success to make a real difference: we have partnered with numerous non-profits, saved actual lives with our games, and donated hundreds of thousands of dollars to charities. Players love our games’ focus on racial, gender, sexual, and identity diversity while holding us accountable when they expect more. Some of us at Pixelberry have worked together for over 10 years through multiple companies. As a result, we strive to create long-term relationships that help sustain our success. We continue to add new individuals who aren’t just searching for another stepping stone but a place to put down roots and actively make a difference. We love what we do and are looking for passionate, like-minded people who want to grow, learn, and make a difference together. SUMMARY OF POSITION Pixelberry Studios is looking for a Senior Data Scientist / Data Scientist. Our headquarters are in Mountain View, CA but we can accommodate a remote work environment for a candidate from the following states: California, Colorado, Florida, Indiana, Maryland, Massachusetts, Michigan, Nevada, New York, Oregon, Pennsylvania, South Dakota, Texas, and Washington. Currently, all Pixelberry staff work remotely with the option to work in-office, if desired. RESPONSIBILITIES Interpret both internal and external data to influence strategic, tactical, and operational decision-making Brainstorm, build and productionize statistical/ML models to drive business decisions Design scientific experiments to evaluate the impact of different product/data features Collaborate with business leaders to optimize player experience Utilize data science techniques/ statistical knowledge to conduct ad-hoc analyses to predict and optimize business outcomes REQUIREMENTS 3-4+ years of experience in consulting, strategy, business development, operations, technology, investment banking, analytics or related experience; mobile-first direct to consumer tech company (ideally mobile games) is a plus Advanced expertise in SQL, R, and/or Python Practical knowledge of Stats and/or Machine Learning Familiarity with experiment design and evaluation concepts and practices BA or BS degree (ideally in a quantitative or social scientific field) POSITIVES Advanced degrees (MA / MS / MBA / PhD) Familiarity with cloud deployment Have experience driving data/ML projects from end-to-end Experience in casual and/or female-focused mobile games BENEFITS & PERKS Competitive salary High level of autonomy and freedom Rich & flexible health, disability, and employee assistance offerings to meet the needs of a diverse workforce 401(K) with matching program Paid Year-End Break For local employees that elect to work in-studio, a relaxed office environment with free food and snacks Virtual escape rooms, video game nights, trivia parties, and other team-building activities throughout the year! HOW THIS JOB IS DIFFERENT Learn about the business side of mobile games. Our team is very good at what we do. Good work/life balance. We are family-friendly and look at things in the long term. That warm fuzzy feeling that you’re not just making a difference at a company, but in the lives of people all over the world. Pixelberry Studios values a diverse workplace and strongly encourages women, Black/BIPOC, LGBT individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Pixelberry is also 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.
Staff Data Scientist Customer Experience	Salesforce	To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are looking for an experienced data scientist to support the Customer Experience team at Slack. At Slack, our mission is to make people’s working lives simpler, more pleasant, and more productive. The Customer Experience team lives this every day, providing a delightful experience to our customers. In this role, you will work closely with the Customer Experience organization to understand and improve the experience people have with Slack across every stage of the customer journey. You will have the opportunity to influence key business and product decisions through your analysis and insights. Your credibility will be strengthened through deep technical skills, strong business sense, and a clear dedication to improving our customers’ experiences. You will bring a solid understanding of SaaS businesses, forecasting models, and ways to process natural language. You can also tell compelling stories with data.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing Apply various data science methods to understand usage patterns of Slack Support Perform evidence-based evaluations of the most important drivers of satisfaction with Slack and Slack Support Build out key success metrics and reporting for the Customer Experience organization Prototype foundational data pipelines and partner with the data engineering organization to elevate these into canonical sources of truth for Customer Experience metrics Identify and clearly communicate potential opportunities to improve the experience of people using Slack Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights Organize disparate facts and analyses into a coherent narrative that evaluate the success of and influence product and support strategy What you should have A passion for customer support and the role it plays in making a customer-centric team successful Expertise in scoping work requested by diverse sets of stakeholders Data science or engineering experience doing data science or quantitative analysis, with preferred experience in settings with multiple consumer user types, such as a marketplace or productivity or collaboration tools. Expertise in at least one programming language for data analysis (e.g. Python, R, Scala) Experience working with data technologies that allow analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Familiarity with Apache Airflow is a plus. Comfortable and skilled at written and verbal communication to varied audiences Experience collaborating with and influencing cross functional partners Experience in building advanced data pipelines and designing data scheme and table infrastructure Experience in cleaning sets of data so accurate decisions and forecasts can be made Plus: An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) Plus: Experience with statistical and machine learning methods to build descriptive and predictive models *LI-YAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce, Inc. and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce, Inc. and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or Salesforce.org.Salesforce welcomes all.
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. (Colorado only*) Minimum salary of $118,100 to maximum $286,000 + bonus + equity + benefits.· Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado. Location: In this role, you can work remotely from anywhere in the United States or onsite in one of GitHub’s U.S. offices (San Francisco, Bellevue, Raleigh) #LI-Remote
Staff Data Scientist Customer Experience	Slack	To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are looking for an experienced data scientist to support the Customer Experience team at Slack. At Slack, our mission is to make people’s working lives simpler, more pleasant, and more productive. The Customer Experience team lives this every day, providing a delightful experience to our customers. In this role, you will work closely with the Customer Experience organization to understand and improve the experience people have with Slack across every stage of the customer journey. You will have the opportunity to influence key business and product decisions through your analysis and insights. Your credibility will be strengthened through deep technical skills, strong business sense, and a clear dedication to improving our customers’ experiences. You will bring a solid understanding of SaaS businesses, forecasting models, and ways to process natural language. You can also tell compelling stories with data.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing Apply various data science methods to understand usage patterns of Slack Support Perform evidence-based evaluations of the most important drivers of satisfaction with Slack and Slack Support Build out key success metrics and reporting for the Customer Experience organization Prototype foundational data pipelines and partner with the data engineering organization to elevate these into canonical sources of truth for Customer Experience metrics Identify and clearly communicate potential opportunities to improve the experience of people using Slack Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights Organize disparate facts and analyses into a coherent narrative that evaluate the success of and influence product and support strategy What you should have A passion for customer support and the role it plays in making a customer-centric team successful Expertise in scoping work requested by diverse sets of stakeholders Data science or engineering experience doing data science or quantitative analysis, with preferred experience in settings with multiple consumer user types, such as a marketplace or productivity or collaboration tools. Expertise in at least one programming language for data analysis (e.g. Python, R, Scala) Experience working with data technologies that allow analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Familiarity with Apache Airflow is a plus. Comfortable and skilled at written and verbal communication to varied audiences Experience collaborating with and influencing cross functional partners Experience in building advanced data pipelines and designing data scheme and table infrastructure Experience in cleaning sets of data so accurate decisions and forecasts can be made Plus: An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) Plus: Experience with statistical and machine learning methods to build descriptive and predictive models *LI-YAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce, Inc. and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce, Inc. and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or Salesforce.org.Salesforce welcomes all.
Principal Data Scientist	Square	Company Description Afterpay is transforming the way we pay by allowing customers to buy products immediately and pay for their purchases over four installments. The service is completely free⁵ for customers who pay on time - helping people spend responsibly. As of December 31, 2021, Afterpay is offered by more than 122,000 of the world’s favorite retailers and more than 19 million active customers have adopted the service. Afterpay is currently available in Australia, Canada, New Zealand, the United States and the United Kingdom, France, Italy and Spain, where it is known as Clearpay. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is a wholly owned subsidiary of Block, Inc. (NYSE: SQ)g. Job Description Afterpay's Principal Analyst is responsible for helping to lead a team to identify, model, understand and predict sales/customer/industry trends, provide insights supporting Afterpay NA Sales and Global leadership teams. You will also analyze business performance in the competition, deliver data driven business insights for decision making, and provide insights on product features, customer behavior, and communicate findings with internal stakeholders and external clients. You can think strategically and deep dive into data sets to deliver high level, or detailed well-structured models and analysis. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners and cross-functional teams. You will: Work closely with Sales leaders to develop business strategies using internal and external data. Provide analytics support to discover, diagnose and predict business outcomes, articulate recommendations to business stakeholders.Develop an OKR tracking framework. Break down the business goals into actionable targets for different domains and operational teams. Work with the Sales and Global BI to deliver regular trading updates.Lead the team to build self-service tools for the Sales team to deliver regular business reviews with enterprise merchants. Understand business problems, conduct quantitative analysis and help Sales and Client Success team to translate data insights into narratives in the commercial context. Be personally involved in the commercial discussions with our critical client partners.Act as a subject expert in designing and recommending appropriate analytical approaches and methodology. Lead the new technology researches, tool and data source validation, and process automation to improve operational efficiency and quality.Explore ways to improve competitive analysis. Lead the data validation and vendor vetting. Develop third-party data strategy. Help actively recruit for the team. Contribute to training sessions, hold technical educational talks that reach beyond your immediate team. Qualifications Have excellent business acumen skills. Good at strategic thinking and critical thinking. Have a proven history of supporting executives and Growth from an analytics domain.Stay current on data science trends and best practices. Influence and recommend changes to critical modelling/analytical methodologies, including but not limited to tagging, experimentation, forecasting. You use excellent professional judgement to make the correct decisions or recommendations based on data under ambiguity.Have the ability to coach, mentor, and develop technical and management talents. Have advanced analytic and programing (R/Python/SQL) skills and can write, troubleshoot, simplify and optimize complex queries and analytical tasks. Can automate complicated & repetitive tasks and can provide practical training to team members to drive efficiency.A fast learner. You can quickly develop deep knowledge about internal systems and processes across multiple domains and effectively influence the product/tech solutions that provide a solid data foundation for the team to build on.Typically has a master degree from quantitative fields with 8+ year relevant experience, or Ph.D degree from quantitative fields with 5+ year experience.Experience in e-commerce/FinTech/Sales Analytics is preferred.Take an active interest in the success of those around you. You're seen as a thought leader and subject matter expert to more junior people on the team. People management experience is a plus. Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Point Of Sale Customers 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 Point of Sale & Customers 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. While reporting to the head of data, 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 We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Science Manager Commerce Platform	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, and an ecosystem of solutions that serve our sellers as they grow and scale their businesses. 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 We are looking for a Data Science Manager to join our team and help us build a differentiated platform which allows developers to extend our ecosystem of solutions to serve our sellers. You will report to the General Manager of Commerce Platform and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process which optimizes for both leadership and technical skills. You will: Lead a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partnersProvide mentorship to team members through feedback, coaching, and hands-on technical guidance as needed, focusing on their long-term growthPartner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact Qualifications You have: 2+ years of experience in people management with a track record of building high-performance teams and growing talent6+ years of data science and analytics experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growthExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes 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 retention Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Sales Analytics	Square	Company Description Join a movement in which everyone can win. We started a movement in which everyone can win – shoppers, retailers, society and every person on our team. To play fair, trust people and reward them for doing the right thing. We see and feel the impact of our work as more and more people gain financial freedom and retailers grow across the globe. Founded seven years ago in Sydney, Australia, Afterpay has millions of active customers globally and is offered at the world’s best retailers around the world including Anthropologie, Revolve, DSW, GOAT, Finish Line, Levi’s, Mac Cosmetics, Ray-Ban and many others. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is completely free for customers who pay on time – helping people spend responsibly without incurring interest, fees or extended debt. Afterpay empowers customers to access the things they want and need, while still allowing them to maintain financial wellness and control, by splitting payments in four, for both online and in-store purchases. Afterpay is deeply committed to delivering positive outcomes for customers. We are focused on supporting our community of shoppers. We trust in the next generation and share a vision of a more accessible and sustainable world in which people are rewarded for doing the right thing. Job Description North America is a key battleground in the increasingly competitive buy-now-pay-later (BNPL) space. Afterpay is a global leader in the category and is seeking an experienced professional to serve as a key analytics partner to the North America sales team as we defend and grow our position in the region. You will work on a small and nimble team and have the opportunity to perform novel, high-impact analyses for a hungry and supportive group of stakeholders. You are just as comfortable diving deep into data sets to deliver detailed and well-structured models and analyses as you are turning around scrappy but well thought out insights to support a fast-moving business. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners and cross-functional teams. You will: Work closely with Sales stakeholders to understand their needs and pain points and proactively propose, develop, and deploy scalable solutionsAssist the Sales team in developing methodologies and frameworks to accurately assess and measure the projected and realized business impact of various operational strategiesProvide tailored input to propel key business initiatives forward, working on small cross-functional teams as the key analytics point of contact Isolate, identify and communicate data issues to technical and non-technical audiences and clearly convey impact and remediation plans verbally and in writingWork with partner teams to establish tracking, metric definition and data warehousing requests with an eye for data clarity, completeness, and integrity Qualifications 5+ years relevant experience or 3+ years relevant experience with a pertinent master’s degreeQuantitative background in statistics, mathematics, computer science, or related disciplinesWork experience with analytics tools like Python, R, and SQL and data visualization tools like Tableau, Looker, or Power BI. Ability to influence senior stakeholders, stand up for yourself, and express disagreements in a constructive and gracious mannerStrong project management skills and ability to work effectively in a fast-paced environment with multiple competing priorities and tight deadlinesPrior experience partnering with Sales teams is ideal but not required Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Commerce Platform	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 Data Scientists on the Commerce Platform Product Analytics team are embedded within product teams and leverage engineering, analytics, statistics, and machine learning to empower data-driven decision making in product development. Data Scientists support Square’s mission of economic empowerment, by using data to build understanding and empathy with our customers, enabling us to build a remarkable product experience. You will: Partner with the product stakeholders to identify, prioritize, and answer the most important questions where analytics will have a material impact and produce actionable insightsDevelop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactfulApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning).Communicate analysis and decisions to high-level stakeholders in verbal, visual, and written mediaContribute to the data strategy of the platform and influence stakeholders to make well-informed architecture and design decisions that affect data at Square Qualifications You have: 3+ years of product-focused data science experience or equivalentFluency in SQLExperience performing data analysis and machine learning using Python or RExperience using statistics to inform decision makingAbility to understand complex business and data systems; versatility and willingness to learn new technologies on the job Even better: A degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical fieldExperience with a BI tool such as Looker or Tableau Experience with data warehouse design, development and best practices Technologies we use and teach: SQL (Snowflake)Python (pandas, scikit-learn, etc.)ETL Looker, Amplitude, Tableau Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Machine Learning Data Scientist	Square	Company Description Join a movement in which everyone can win. We started a movement in which everyone can win – shoppers, retailers, society and every person on our team. To play fair, trust people and reward them for doing the right thing. We see and feel the impact of our work as more and more people gain financial freedom and retailers grow across the globe.Founded seven years ago in Sydney, Australia, Afterpay has millions of active customers globally and is offered at the world’s best retailers around the world including Anthropologie, Revolve, DSW, GOAT, Finish Line, Levi’s, Mac Cosmetics, Ray-Ban and many others. Afterpay is on a mission to power an economy in which everyone wins.Afterpay is completely free for customers who pay on time – helping people spend responsibly without incurring interest, fees or extended debt. Afterpay empowers customers to access the things they want and need, while still allowing them to maintain financial wellness and control, by splitting payments in four, for both online and in-store purchases. Afterpay is deeply committed to delivering positive outcomes for customers. We are focused on supporting our community of shoppers.We trust in the next generation and share a vision of a more accessible and sustainable world in which people are rewarded for doing the right thing. Job Description Roles & Responsibilities • Work cross functionally with stakeholders, analytics, and engineering partners to improve our existing systems, collaborate in all technical aspects of development, including technical requirements definition, design, implementation, unit testing, and integration; • Take end to end ownership of Machine Learning systems - from evaluating potential solutions, building features and samples, implementing models, define evaluation metrics, data pipelines and training, to real time predictions; • Identify new opportunities for personalization to apply Machine Learning to different domains of our consumer products including our Shopping, Engagement, Ads, In-store, Checkout etc. Qualifications Who are you? (Qualifications) Like us, you’ll be deeply committed to delivering positive outcomes for customers and passionate about shaping the future of Block. You like to keep it real with your actions, be brave with your decisions, do the right thing for all our stakeholders and shape the future with excitement. • 5+ years of hands-on experience developing machine learning models at scale from inception to business impact; • Proven ability to tailor machine learning solutions to business problems in a cross-functional team. • Strong machine learning programming skills (Python, R, and SQL preferred); • Quantitative background in computer science, statistics, math, or related disciplines; • Familiar with deep learning models such as Wide-and-deep, DCN, Attention, and various embeddings; • Experience building and architecting large-scale, production quality systems, especially in one of the following directions:Recommendation systems, Search, Advertising, or NLP, Knowledge graph; • Familiar with problems such as cold-start, debiasing, transfer-learning, multi-task learning, recommendation platform implementation, and reinforcement learning; • Experience with scalable ML data platform (dataset management, feature engineering etc.), ML Frameworks (TensorFlow, Pytorch etc.) development; Experience with building data products, either internal or consumer-facing a plus; • Experience in managing, mentoring, and coaching other engineers a plus; Additional Information We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Perks We want you to be well and thrive. Our global benefits package includes: Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Data Scientist Nlp	U S Bank	At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Job Description As an AI/NLP Data Scientist you will be responsible for building AI and Data Science models with a main focus on data extraction and insights. You will need to rapidly prototype various algorithmic implementations and test their efficacy using appropriate experimental design and hypothesis validation. Basic Qualifications: - Bachelor's degree in quantitative field such as statistics, computer science, engineering, or applied mathematics, or equivalent work experience - Six to eight years of experience relevant experience Preferred Qualifications:- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 3+ years of relevant industry experience.- Experience with Financial documents such as SEC filings, financial reports, credit agreements or business news is a plus.- Creativity, resourcefulness, and a collaborative spirit.- Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc.- Proficient programming skills in a high-level language (e.g.Python,R,Java,Scala)- Being comfortable with rapid prototyping practices.- Being comfortable with developing clean, production-ready code.- Being comfortable with pre-processing unstructured or semi-structured data.- Experience with statistical data analysis, experimental design, and hypothesis validation.- Project-based experience with some of the following tools: > Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar, BERT Transfer Learning) > Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) > Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) > Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab > Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. - Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family. Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting careers.usbank.com. EEO is the LawApplicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. Salary range reflected is an estimate of base pay and is for the primary location. Base pay range may vary if an offer is made for work in a different location. Pay Range: $108,545.00 - $127,700.00 - $140,470.00Due to legal requirements, U.S. Bank requires that the successful candidate hired for some positions be fully-vaccinated for COVID-19, absent being granted an accommodation due to a medical condition, pregnancy, or sincerely held religious belief or other legally required exemption. For these positions, as part of the conditional offer of employment, the successful candidate will be asked to provide proof of vaccination or approval for an accommodation or exemption upon hire.U.S. Bank will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.
Data Scientist	U S Bank	At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Job Description Responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards. Basic Qualifications- Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience- Six to eight years of relevant experiencePreferred Skills/Experience- Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets- Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization- Understanding of machine learning techniques and algorithms - Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics - Understanding of MLOps- Demonstrated project management skills- Effective interpersonal, verbal and written communication skills If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family. Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting careers.usbank.com. EEO is the LawApplicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. Salary range reflected is an estimate of base pay and is for the primary location. Base pay range may vary if an offer is made for work in a different location. Pay Range: $108,545.00 - $127,700.00 - $140,470.00Due to legal requirements, U.S. Bank requires that the successful candidate hired for some positions be fully-vaccinated for COVID-19, absent being granted an accommodation due to a medical condition, pregnancy, or sincerely held religious belief or other legally required exemption. For these positions, as part of the conditional offer of employment, the successful candidate will be asked to provide proof of vaccination or approval for an accommodation or exemption upon hire.U.S. Bank will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.
Sr Data Scientist	Abercrombie Fitch	Our Global Data & Analytics team is the hub of harvesting and analyzing data to drive strategic, customer-centric business decisions for our brands. By collaborating with partners across a broad variety of business functions, associates on our D&A team provide recommendations that allow our teams to push boundaries and stay at the forefront of retail trends. The Senior Data Scientist on our A&F Data Science team within Data & Analytics will develop solutions for complex, ambiguous, and high-visibility business challenges ranging from personalization, marketing mix modeling, demand forecasting to supply chain optimization with a focus on building machine learning products. This role will closely partner with our Marketing/Real Estate/Digital Product teams to help support their modeling, advanced analytics, and segmentation needs. Bring passion for learning and data-informed decision making that shapes holistic view of our business with consideration for all aspects of the customer experience - from front-end web & store experience through order fulfillment and customer service. What will you be doing? Building Machine Learning Products Design and build machine learning models end to end, from exploratory data analysis to feature engineering to model training/testing to batch or real-time deployment in cloud platforms, such as Azure DatabricksUnderstand and be able to apply advanced modeling techniques, including supervised (classification & regression), un-supervised (PCA, clustering, etc.), recommendations, time-series forecasting & reinforcement learning.Build innovative machine learning models and segmentations for personalization initiatives to drive margin, revenue, and conversionDevelop geo optimization models that drive market opportunity assessment and real estate location selection; decompose omni-channel impact in the marketplace as result of store open/closures.Build out robust advanced segmentation schemes for our customer files.Implement drift detection & monitoring for machine learning models. Analytics Ecosystem Help identify cross-channel / cross-platform optimization opportunities for customer, product, market, promotions.Be an evangelist of data-informed decision-making and consistently look out for new ways to leverage data and analytics.Identify "low hanging" opportunities to increase conversion, save costs, drive revenue.Ensure data accuracy and single source of truth; work with data engineers to identify or build new solutions.Incorporate new data sources (social, clickstream, unstructured) & new types of data into segmentation/modeling/analysis. What will you need to bring? Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field and 4+ years of data and analytics experience (retail environment is a plus)Master’s Degree Preferred You don’t have to be an expert in all or any of the areas below, but we need someone with a passion for learning and growing as a data scientist: Expert in Python, SQL, PySparkStrong engineering and coding skills, with ability to write high quality production codeExperience with DatabricksExperience with Azure cloud ecosystem2+ years of production model deployment experienceExperience with Git, CI/CDExperience optimizing model hyperparameter tuning for speed and costExcellent documentation habitsHighly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed. Our Company Abercrombie & Fitch Co. (A&F Co.) is a global retailer of five iconic, omnichannel lifestyle brands catering to the kid through millennial customer: Abercrombie & Fitch, abercrombie kids, Hollister, Gilly Hicks and Social Tourist. At A&F Co., we’re here for our associates, customers and communities on the journey to being and becoming who they are – and because no journey is the same, we strive to create an inclusive culture, where everyone is free to share ideas. Our Values We lead with purpose and always put our people first, which is evidenced by our Great Place to Work™ Certification, as well as being a 2021 recipient of Fortune’s Best Workplaces in Retail, and named a Best Place to Work for LGBTQ+ Equality by the Human Rights Campaign for 16 consecutive years. We’re proud to offer equitable compensation and benefits, including flexibility and competitive Paid Time Off, as well as education and engagement events, including various Associate Resource Groups, volunteer opportunities and additional time off to give back to our global communities. What You'll Get As an Abercrombie & Fitch Co. (A&F Co.) associate, you’ll be eligible to participate in a variety of benefit programs designed to fit you and your lifestyle. A&F is committed to providing simple, competitive, and comprehensive benefits that align with our Company’s culture and values, but most importantly – with you! We also provide competitive incentives to reward the commitment our associates have for moving our global business forward: Incentive Bonus Program Paid Time Off and Work From Anywhere Flexibility Paid Volunteer Day per Year, allowing you to give back to your community Merchandise Discount Medical, Dental and Vision Insurance Available Life and Disability Insurance Associate Assistance Program Paid Parental and Adoption Leave Access to Carrot to support your unique parenthood journey Access to Headspace dedicated to creating healthier, happier lives from the inside out 401(K) Savings Plan with Company Match Opportunities for Career Advancement, we believe in promoting from within A Global Team of People Who'll Celebrate you for Being YOU
Data Science Manager	Dropbox	Company Description Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 700 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work. Team Description Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust. Role Description The Data Science team is a central function that seeks to leverage data to help make better business decisions. This team leverages various data sources and quantitative techniques to synthesize narratives around how our customers use our products and develop critical insights and actionable recommendations for our business. We are looking for a talented manager to lead a team of data scientists to answer critical questions about growing our revenue, transforming our business, and understanding the impact of our initiatives. In addition, you will collaborate with cross-functional leaders to develop a deeper understanding of our users to build the right product to meet their needs and achieve business objectives. You will prioritize and align key analytics projects for your team and communicate quantitative insights and narratives broadly across all levels of the organization. You will also have the unique opportunity to define what data science means at Dropbox, influencing teams across the company to understand better how they can leverage information and insights to achieve their ambitious goals. Moreover, you will get the opportunity to lead a fantastic team of talented, curious, passionate data scientists to shape the future of our business. Responsibilities Build and manage a high performing team of data scientistsCoach and mentor data scientists of varying experiences to ensure their continued growth Plan, execute, and complete mission-critical data science projects and provide technical leadership in a fast-paced environmentProvide quantitative insights and perform analytical deep-dives to proactively identify growth opportunities and inform future learning, product experimentations, and product roadmaps Steer the team in creating ML models to optimize our payments processing or fraud detectionIdentify key metrics and create automated dashboards to monitor and report on the health of the businessSimplify complex concepts to a broad audience, leaning on excellent communication skills, both verbal and writtenCollaborate with cross-functional teams, including Product, Engineering, Design, Marketing, and Research, to execute against our roadmap quickly and iterativelyUnderstand what matters most and prioritize ruthlessly Requirements Bachelor’s degree in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years of industry experience as a data scientist2+ years of experience directly managing data scientists, quantitative researchers, or product analystsAbility to lead a high-performing team and inspire others Ability to influence prioritization and execution of high visibility projects that affect customer experience as well as monetizationExperience analyzing large datasets and using data to inform product and business decisions that led to measurable outcomesExceptional verbal and written communication skillsComfortable with SQL and large datasets, strong understanding of statistics, experimentation, and modeling Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
Senior Economist Pricing	Thrasio	Wild Thinkers Welcome Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs. We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right. From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday. Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers. As a Senior Economist on the Pricing & Promotions team, you will own a causal modeling framework to estimate contextual price elasticities and promotional lifts over Thrasio’s extensive portfolio of omnichannel products to drive optimal pricing & promotions decisions, which is fundamental to Thrasio’s long-term success. Responsibilities: Leveraging state of the art causal inference methodology to measure price elasticity and promotional lifts with observational and experimental data Designing experiments to improve measurement and validate strategies Developing integrated solutions across pricing, promotions, marketing, forecasting, and supply chain Collaborating with cross-functional partners to build the best pricing solutions Driving strategic initiatives across the broader org as a leader at Thrasio Owning team development cycles, managing risk, and bringing stakeholders along for the ride Requirements: Masters or Ph.D. in Economics or a related field such as Quantitative Marketing or Finance 2+ years of practical experience working with panel data (ideally in e-commerce) Expertise in econometrics, causal inference, and experiment design Proficiency in Python, SQL, Git Passion for driving outsized business impact through applied science Nice to have: Expertise in Structural Modeling, Operations Research, Machine Learning Familiarity with Git, Databricks, Snowflake, Spark THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY. Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.
Principal Economist	Thrasio	Wild Thinkers Welcome Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs. We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right. From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday. Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers. As a Principal Economist on the Pricing & Promotions team, you will own a causal modeling framework to estimate contextual price elasticities and promotional lifts over Thrasio’s extensive portfolio of omnichannel products to drive optimal pricing & promotions decisions, which is fundamental to Thrasio’s long-term success. Responsibilities: Leveraging state of the art causal inference methodology to measure price elasticity and promotional lifts with observational and experimental data Designing experiments to improve measurement and validate strategies Developing integrated solutions across pricing, promotions, marketing, forecasting, and supply chain Collaborating with cross-functional partners to build the best pricing solutions Driving strategic initiatives across the broader org as a leader at Thrasio Owning team development cycles, managing risk, and bringing stakeholders along for the ride Requirements: Masters or Ph.D. in Economics or a related field such as Quantitative Marketing or Finance 5+ years of practical experience working with panel data (ideally in e-commerce) Expertise in econometrics, causal inference, and experiment design Proficiency in Python, SQL, Git Passion for driving outsized business impact through applied science Nice to have: Expertise in Structural Modeling, Operations Research, Machine Learning Familiarity with Git, Databricks, Snowflake, Spark THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY. Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.
Senior Data Scientist	Clearbit	At Clearbit, we help our customers build unstoppable growth engines. Our products enable businesses to understand their customers, generate demand, act on intent, and increase conversions all the way down the funnel. Today, Clearbit powers more than 1,500 B2B companies including Asana, Segment, and Atlassian. It's an exciting time to join Clearbit. We're a rapidly growing SaaS company, full of can-do people who care about craft, collaboration, and our customers. As a Data Scientist at Clearbit, you’ll be the founding member of a new team! You will wholly own the investigation, testing, and implementation of our Reveal product’s algorithm, the foundation of our value story. You’ll work directly with senior leaders of our Product and Engineering teams to guide this product’s near and long term future. You’ll have the support of adjacent Data Scientists, Engineers, and PMs to brainstorm, socialize, and generally collaborate. You will help develop the tools, standards, and practices for future generations! What You'll Do: Analyze and model vast sets of signal and user data Maintain complex SQL queries (& hopefully replace these with a better implementation) Come up with new product directions and contribute ideas What You Need to Succeed: SQL mastery: the substance of our algorithm is currently in SQL, so even if you chart a path to refactor it in the next 6 months, to have impact from the start you’ll need to be very comfortable with SQL. You have broad technical skill. You have experience in advanced analytics and statistics, SQL/NoSQL, Python/R, machine learning, experiment design (A/B testing, multivariate analysis), data wrangling/ETL, and APIs. You have practical data science experience. You have significant prior success working on challenging problems at scale with expertise in statistical modeling. You have a growth mindset. You are looking to chart your own path through a broad space of opportunity, with lots of guidance and support, of course. Your focus is on customer value and experience. You recognize that we can build anything, but figuring out the right thing to build for customers—and truly understanding their challenges and problems they face— matters most. You're creative and curious. You can dream and brainstorm and explore the opposite perspective. You're not afraid of new or different ideas. Technical challenges aren't scary. You've worked with complex systems, data, APIs, CRMs, and/or marketing or sales automation platforms. You have excellent communication skills. You're as comfortable writing for and talking to customers as you are talking to leadership, design, and engineering. You know your audiences, what's important to them, and can tailor the message so it's concise and clear. You can break down complex concepts into common, easy-to-understand language for the business. Your attention-to-detail is top notch. You're quick to catch pitfalls and potential issues, and aren't afraid to ask why or communicate your understanding of a situation. You ensure everyone is aligned and understands what matters and why. Working at Clearbit: We invest in personal and team growth, valuing constructive feedback, and emotional intelligence. We aim to maintain a working environment of psychological safety, where vulnerability is not a weakness, so that it's easier to take creative risks, re-define what’s possible, and grow into the best version of yourself. Your teammates will push you to grow (kindly) and ask for the same in return. Building a company takes a physical and mental toll, which is why we think it's incredibly important to make sure that we provide benefits that focus on physical and mental health. Our benefits include:- Competitive salary and meaningful equity- Health, dental, and vision for you and your family- Paid parental leave- Mental health resources, coaching and therapy sessions- 401(K)- Education benefits Don’t meet 100% of the criteria, but think you can do the job? We’d love to chat anyway! We’re on a mission to build diverse teams, and studies have shown that women and folks from marginalized communities are less likely to apply to jobs if they don’t check every box. We value and celebrate how you identify, who you love, the color of your skin, your age (at heart and on paper), the gods you do or don't believe in, and every other belief and characteristic that make you, YOU. The more inclusive we are, the better we — and our work — will be. Clearbit is an equal opportunity employer.
Network Data Scientist	Altana	The Financial Services team is looking for talented Network Data Scientists to help execute this vision. You’ll work closely with our Clients, Data Scientists, Product Managers, Software Engineers, and leadership team to develop analytics that provide insights on network dynamics and their impacts on financial performance in supplier networks. Responsibilities Develop statistical models of network structures and their relationships to network behavior Automate identification of persistent network structures as well as emergent network structures and behaviors Build analytical solutions for understanding network dependencies Establish metrics for common network attributes such as attachment, centrality, connectivity, distance, path lengths, and similarity Develop new metrics that describe network characteristics as relates to the performance of businesses in the network Develop models to describe, predict, and simulate network behavior under multiple scenarios Categorize relationships between network patterns and business outcomes Build descriptive and predictive models of network dynamics that can be used to plan business strategies by people regardless of their expertise in network analytics About You BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience You have a strong background in data science, graph mining, and graph simulations You enjoy sharing your expertise using Python for graph analysis and machine learning You have experience with data intensive applications and complex systems You are energized by power laws, long-tail effects, and nonlinear system dynamics You are comfortable communicating technical analysis to less technical stakeholders You are interested in applying network analysis to improve the world You have strong written and verbal communication skills Nice to have, but not required Experience with Apache Spark, Databricks Experience with generative models of network structure and behavior Experience analyzing supplier networks in supply chains, banking, insurance, or ecommerce Technologies we love Languages: Python, Spark, SQL Tools: Scikit-learn, Numpy, Pandas, NetworkX, PyTorch, Tensorflow, DGL Datastores: Databricks, Elasticsearch, Postgres, RDS, Kafka
Data Scientist	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 100 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 At Wish, our Data Science & Engineering team is composed of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators. Our mission is to derive wisdom from data via the application of Data Science. Wish has exciting opportunities for talented Data Scientists on our Supply Data Science team. This is a unique opportunity to experiment with a 500 million strong consumer base that draws 100+ million MAU. Successful candidates will have extensive backgrounds in quantitative fields and significant experience with experiment design and execution at scale. What you'll be doing: Conduct insightful analysis using internal and external data (e.g. revenue, customer, merchant) to gain insights that will drive financial business decisions.Conceptualize and build centralized tools (including pipelines) that can extract data/insights for daily business management in an automated manner.Work effectively with cross-functional teams globally, assimilating requirements, driving results in the form of data insights and being liaison between engineers and business partners.Develop dashboards and visualizations for the business stakeholders and maintain the integrity of the reports.Investigate monetary impact on new programs and assist with ad-hoc requests.Process a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.Design, development and evaluation of highly innovative modelsTroubleshoot, maintain and update legacy data pipelines across MongoDB, Tahoe and RedshiftInvestigate discrepancies across various data flows and reconcile the differencesProactively develop insights and ML models to help us drive various marketplace results like supply quality, diversity and merchant services. Qualifications Bachelor's or Master’s degree in an analytical field or similar.1+ year of experience in data science roleProficiency in SQL or other query languages, deep experience and strengths to develop complex queries.Development experience in at least one scripting language (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.Working knowledge of data visualization tools (Superset, Tableau etc.). Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply! Additional Information Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities 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 employment for qualified applicants with arrest and conviction records. Individuals applying for positions at Wish, including California residents, can see our privacy policy here.
Data Scientist	Zoro	Company Summary: Zoro offers millions and millions of products — an endless aisle with everything you need to run your business. We offer fast and free shipping, no-hassle returns, and exceptional customer service. We’ve grown quickly in a short time and are continuing to do so while aggressively growing our revenue. We are excited to be a part of an award-winning culture — we have been named a Great Place to Work for multiple years in a row, among other local and national accolades. We think Zoro is a pretty amazing place to work and grow, and think you will too! Primary Function: Our Data Scientists are instrumental in transforming Zoro’s data into insights and actionable results that drive the business forward. The Data Science team covers a broad scope of projects including customer segmentation, A/B testing, marketing investment optimization, predictive modeling, promotion forecasting, and pricing analysis. We are closely integrated with our business leaders and support their ability to make critical decisions. At Zoro, you will be challenged by new questions every day. The successful candidate is passionate about eCommerce, seeks to learn about all aspects of Zoro’s business, and collaborates well with others. Our aggressive growth goals mean that your day-to-day responsibilities and projects can vary greatly—which means tremendous opportunity for you to make an impact! Duties and Responsibilities: Use data science to support key business activities, including marketing campaign design, customer segmentation, pricing optimization, merchandising, and customer experience projects Actively collaborate with internal business partners to understand and support their need for data-driven insights Participate in the end-to-end analytical process: receive and evaluate business partners’ requests, develop a project plan and methodology, collaborate with business partners to refine the project plan, execute the data analysis, and provide recommendations. Build statistical and machine learning models using Python and R that inform company decisions Take responsibility to ensure the quality of data used in your projects and integrity of the analysis performed Document code and data science processes that are critical to the company, and develop strategies to ensure those processes are robust and fault-tolerant Communicate findings to business leaders and colleagues using data visualizations, presentations, and written means Qualifications: 2+ years experience in marketing analytics, database marketing, data mining, and statistical modeling. Experience using advanced data analysis in an Internet retailer or a top-tier consumer-focused company (in technology, consumer goods, or retail) is required Familiarity with Python or R for statistical modeling, clustering, classification, machine learning, and data mining Demonstrated proficiency in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc) Familiarity with BI tools such as Tableau or Looker, and ability to communicate results to business partners Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions Prior experience assisting complex business decision-making through data mining and machine learning Master’s degree preferred in quantitative fields such as Statistics, Engineering, Operational Research, and Economics Knowledge of web tracking technology and web analytics tools (Google Analytics, Adobe Analytics, etc.) a definite plus Zoro Values and Inclusive Culture: We share a commitment to our Zoro values – Win & Lose Together (We prefer winning!), Take Ownership, We Are Transparent, and AspireClojure to be Customer-Obsessed. Everything we do at Zoro is centered around delighting our customers. It's a natural extension of our company culture and how we care for each other. We believe when we act in ways that are consistent with these values, we can solve any technical challenge that lies ahead of us. As a Zoro employee, you can expect to work with smart, energetic people, learn something every day, and be valued for your perspective. Zoro is dedicated to fostering an environment where people of all backgrounds and beliefs are represented, and all team members can be confident that their experiences and perspectives are valued. Zoro aims to empower all employees to learn about, raise awareness, and promote diversity and inclusion through all of our workplace interactions. Zoro is a place where everyone can learn, grow and thrive. We recognize the courage and effort it takes to apply for your next opportunity. We also recognize that there is rarely such thing as a perfect candidate. Even if you do not meet every qualification, we still encourage you to apply -- we do not want to miss out on meeting the next person who could emerge as a key contributor to our business and culture. Zoro is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Sr Data Scientist Search Recommendations	Zoro	Company Summary: Zoro offers millions and millions of products — an endless aisle with everything you need to run your business. We offer fast and free shipping, no-hassle returns, and exceptional customer service. We’ve grown quickly in a short time and are continuing to do so while aggressively growing our revenue. We are excited to be a part of an award-winning culture — we have been named a Great Place to Work for multiple years in a row, among other local and national accolades. We think Zoro is a pretty amazing place to work and grow, and think you will too! Primary Function: Our Sr. Data Scientists play a key role in helping customers navigate Zoro.com by supporting onsite search & recommendations as well as enhancing product information. Responsibilities may include training & maintaining recommendation algorithms, search ranking models, suggested search, product classifiers, NLP normalization algorithms, etc. Data Scientists work collaboratively alongside product managers, engineers and merchandisers to build data-driven, scalable solutions that enable customers to find the products they need from our assortment of over 10M skus. Duties and Responsibilities: Lead data science projects from beginning to end: develop and refine the idea, create a project plan and methodology, collaborate with business partners, execute, and provide recommendations for the company Collaborate with other data scientists to develop and implement algorithms, write code, evaluate relevant academic research, and deliver outputs Advise the company about tools, data sources, and best practices to facilitate digital marketing, pricing, and web analytics Build predictive and inference models using Python and R to support business initiatives in the areas of customer acquisition, activation, engagement, retention, or channel investment optimization Document code and data science processes that are critical to the company, and develop strategies to ensure those processes are robust and fault-tolerant Communicate findings to business leaders and colleagues using data visualizations, presentations, and written means Qualifications: Experience leading data science projects that have a direct impact on company objectives Demonstrated ability to assist business decision-making through data mining and machine learning Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions 5+ years’ progressive business experience in areas including marketing analytics, database marketing, data mining, or statistical modeling. Experience using data science or advanced analytics in an Internet retailer or a top-tier consumer-focused company is required Ability to translate complex business problems into project plans and solve them by analyzing large amounts of data Familiarity with Python for statistical modeling, clustering, classification, machine learning, and data mining Demonstrated proficiency in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc) Familiarity with BI tools such as Tableau or Looker, and ability to communicate results to business partners Master’s degree preferred in quantitative fields such as Statistics, Engineering, Operational Research, or Economics Knowledge of web tracking technology and web analytics tools (Google Analytics, Adobe Analytics, etc.) a definite plus Zoro Values and Inclusive Culture: We share a commitment to our Zoro values – Win & Lose Together (We prefer winning!), Take Ownership, We Are Transparent, and AspireClojure to be Customer-Obsessed. Everything we do at Zoro is centered around delighting our customers. It's a natural extension of our company culture and how we care for each other. We believe when we act in ways that are consistent with these values, we can solve any technical challenge that lies ahead of us. As a Zoro employee, you can expect to work with smart, energetic people, learn something every day, and be valued for your perspective. Zoro is dedicated to fostering an environment where people of all backgrounds and beliefs are represented, and all team members can be confident that their experiences and perspectives are valued. Zoro aims to empower all employees to learn about, raise awareness, and promote diversity and inclusion through all of our workplace interactions. Zoro is a place where everyone can learn, grow and thrive. We recognize the courage and effort it takes to apply for your next opportunity. We also recognize that there is rarely such thing as a perfect candidate. Even if you do not meet every qualification, we still encourage you to apply -- we do not want to miss out on meeting the next person who could emerge as a key contributor to our business and culture. Zoro is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Data Scientist Machine Learning Computer Vision	Tiger Analytics	Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.Are you excited about Research and implement new detection capabilities for use within our Media Analysis Framework(MAF). You will rely on your experience in computer vision and machine learning to extract insightful metadata from the video. You will work closely with other researchers and engineers to create algorithms for multi-modal analysis of video. Additionally, you’ll ensure that your components are well-tested, production-ready, and performant at scale.Key Responsibilities: Research and develop analysis methods that extend the Media Analysis Framework, including video/image/audio processing and machine learning methods, to extract meaning and produce timestamped metadata from video content. Develop and test software components that implement your analysis methods for integration in to production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems. Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations. Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the team’s collective knowledge. Clearly communicate research discoveries and developed solutions to a variety of audiences through presentation. Preferred Skills: Has excellent interpersonal skills and can communicate effectively. Is able to chart a solid research path given available requirements. Is innovative and self-motivated, and can find unique solutions to problems. Demonstrates excellent teamwork skills when interacting with research and engineering collaborators. Is able to plan, organize, and time-manage independently. Is able to manage priorities and assess the implications of decisions Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related technical discipline, plus at least 2-3 years industry experience in a machine learning role. A PhD degree or equivalent industry experience is preferred. Practical and educational experience in machine learning and computer vision is expected. Experience with nearest neighbor search, vector databases, image matching, and image retrieval is strongly desired. Strong programming and software skills, with Python experience preferred. Experience in signal processing, video encoding and analysis, and/or deep learning is also beneficial. Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is beneficial. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Lead Data Scientist	Tiger Analytics	Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team. You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers. You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars: DIGITAL ANALYTICS: Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion. EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations. Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs. RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance. Productization: Maintain code which can be productise and packaged as python packages in any cloud environment. Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production. 5+ years of Data Science and Machine Learning experience required Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc). Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders. Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources. Strong data querying skills (SQL) and experience with a OOPs framework language (Python). Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development. Great teammate who enjoys collaborating with others. BENEFICIAL BUT NOT REQUIRED Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget alloc This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Senior Data Scientist Client Analysis	Socure	About the role: We are currently looking for Senior Data Scientists to join our Client Analysis team to be based anywhere remotely in the USA. In this unique role as Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle. This is an excellent opportunity for a Data Scientist who thrives when they're able to communicate a data story to an audience (tech and non-tech), and who is not satisfied only working behind the scenes. Data Scientists on the Client Analysis team are compensated for their part in driving new business with a generous incentive bonus opportunity on top of competitive base salary. Responsibilities: Analyze massive customer data sets, come up with actionable insights, explain how our models perform and how we can help our customers build optimal risk management policies. Act as Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization Build ML models when it is advantageous to explore different approaches over the established models in production Qualifications: You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred. You have 5+ years experience in data science, data analysis, or analytics engineering You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods You know how to write clean, performant code in Python and/or R, and have 2+ years experience working with massive real-life datasets You have experience querying relational databases with SQL You have experience working with cloud tools and technologies in AWS, Azure or GCP You know how to tell stories with data (dashboarding, building interactive data stories and actionable presentations) You are able to explain very complex algorithms, models, analyses to non-technical audiences You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages You thrive in a remote work environment and are excellent at setting clear goals and holding yourself accountable You have experience and/or interest in identity verification and fraud prevention (preferred) Technologies we use The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones. RStudio teams (Workbench, Connect and Package manager) R language and ecosystem (The tidyverse family of R packages, Rmarkdown Shiny) Python ecosystem (H2O, SHAP, Seaborn, Jupyter, etc) Apache Arrow Airflow Redshift, Snowflake, S3 Apache Spark Amazon EMR Git and Gitlab
Senior Data Scientist Canada	Freshbooks	About FreshBooks FreshBooks is a leading cloud-based SaaS accounting software designed with one goal: to help small business owners grow. We reached unicorn status after raising our valuation to more than $1 billion and continue to scale our business to serve business owners, their clients, and accountants in more than 160 countries worldwide. FreshBookers are found all over the globe, and we know that different folks thrive in different working environments: Remote, onsite, and everything in between, you’ll find it with us. The Opportunity - Senior Data Scientist The Senior Data Scientist will discover and operationalize data science and ML products & insights derived from FreshBooks and 3rd party data in support of marketing, product development and user research. As part of the team, you'll research, design and implement ML algorithms that drive our core recommendation and personalization systems. What You'll Do Develop and implement multiple recommendation solutions at scale across our personalization efforts to deliver on user experience As a technical leader, you are expected to be on top of the literature, open source challenges and datasets, helping to inform strategy and project planning within the Data Science team and across the wider organization. You’ll maintain an understanding of industry and technology trends in ML, DL, NLP, recommendation and personalization Lead, mentor and develop colleagues, and align the research and development direction to business goals, especially with judgements on schedule, approach and prioritization. Collaborate with data and software engineers to integrate and enable and deploy new or improved models and supporting technology within the company’s production systems. Responsible for the conception, planning, and prioritizing of data science projects. What You'll Bring to the Role Strong background applying machine learning in industry settings Experience with recommender systems and/or knowledge graphs are strongly preferred. Strong software development skills and experience writing production quality code Strong mathematical skills with knowledge of statistical methods and machine learning Proven track record delivering results in complex, cross-functional projects MSc (PhD preferred) in Computer Science, Statistics, Machine Learning or related quantitative field Strong organizational and leadership skills Excellent communication skills You'll Stand Out If You Bring Experience In Recommender systems, knowledge graphs, experimentation, multi-arm bandit and/or Bayesian approaches are a strong plus. Our Commitments to You At FreshBooks each person knows their opinion is valued, and can see their impact on the lives of over 10 million small business owners around the world. Accelerate your career, work on projects you're passionate about, and work as a part of a collaborative team without ego! Here are some of the ways FreshBooks recognizes and rewards our employees: 🩺 Comprehensive Health and Wellness Benefits. Including retirement savings programs matched to your local office, stock options for every full time employee, generous time off, parental leave and new parent support, annual healthy living credit, comprehensive medical and dental benefits dependent on your region, and more. 📚 Perks that Matter. Including a Peer Recognition Program, an Employee Assistance Program, headphone credit, meaningful in-person gatherings to bring onsite and remote employees together, and more perks matched to your locale. 🌱Working Environments to Help You Thrive. Beautiful office spaces welcome you in Canada and Mexico, and remote FreshBookers receive a home office credit to set up your home office. 🤗 Supportive Peer Group, Mentors, and Leaders. We care about each other across the organisation and have programs to support this so everyone feels a strong sense of belonging, and believes in collective impact. 🚀 Accelerated growth. 3 week dedicated company onboarding, career development through continuous coaching, training, and learning on the job, and a bi-annual review process. Closing Even if your experience doesn't meet every bullet on the above lists, we'd love to learn more about you and why you think FreshBooks is the next step in your career. FreshBooks is an equal opportunity employer. We do not discriminate based on gender, religion, race, mental disability, sexual orientation, age, or any other status. All applicants are considered based on their qualifications and merits. At FreshBooks, we inspire an environment of mutual respect and we believe diversity and inclusion are crucial to our success. FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or [email protected].#LI-JL13
Principal Data Scientist	Getty Images	Principal Data Scientist, Search and Personalization - United States (Remote) Duration: Permanent Location: United States (Remote) Start: ASAP Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office. Who You Are: We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics! Your Next Challenge: Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success Develop and implement online and offline testing and validation methodologies Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process What You'll Need: Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products A minimum of 5 years validated experience Proven expertise as a technical lead providing mentorship and guidance to team members. A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.) Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts Open listener, ability to be open to many diverse voices and perspectives You are clear, credible, and forward-thinking! A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful Mental and Physical Demands: A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.) Frequent communication with others to exchange information Frequent sedentary work that primarily involves sitting/standing; Time of each will vary Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc Constant assessment of accuracy and thoroughness of the work assignment Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy. Benefits at Getty Images Health Insurance We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide. Time off Work/life balance is important to us We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave. Company Paid Holidays Employees enjoy company-paid holidays for each of our global locations. Disability and Life Insurance We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance. Employee Assistance Program Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions. 401(k) Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period! Learning & Growth We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more. __________________________ Covid-19 Company Statement: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto). US Specific: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto). Who We Are: Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe. Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy. Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers. Getty Images works with over 496,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 495 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter. Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation. Leadership Principles As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally. We are trustworthy, transparent, and honest We love character, authenticity, and integrity. We always raise the bar Excellence is our norm; we get better through endeavor, curiosity, and speed. We collectively bring solutions We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility. We care, are kind, courteous, and respectful We will not tolerate rudeness. We reject biased behavior and discrimination We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible. We are inclusive of different voices, perspectives, and experience Diversity and inclusion are never done, but we are passionate in their pursuit. We are one Getty Images with no silos We share goals and accountability; we and actively seek information and expertise; we make time for our peers. We deliver on our commitments, and commercial goals With one voice and shared accountability. We put the customer at the heart of everything we do We listen to, anticipate, and exceed customer needs, adapting as they evolve. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply. Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email [email protected]. Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life. For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends. Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery. Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
Data Science Lead	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, applicant selection scoring, etc. Your algorithms will be leveraged to deliver superior results which actively contribute to Fountain’s rapid growth. Reporting to the VP, Data Science, Analysis and Insights you will have the opportunity to showcase your work to the leadership team. You will lay the foundation to build a high-caliber team reporting to you, expanding Data Science and driving the roadmap for new applications across the organization. What you'll 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 engineers and product managers What you should bring: Significant prior success as a Data, Product, 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 Haves: Advanced graduate degree (e.g., MBA, PhD, etc.) Experience includes building and leading talented teams 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
Sr Actuarial Analyst	Clearcover	Our Value Proposition: Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat. In this role: The Sr. Actuarial Analyst at Clearcover is a natural problem solver who acts with urgency and focus. They exist to support the Insurance department’s objective of developing and maintaining Insurance products that can deliver sustainable growth. The Sr. Actuarial Analyst will support the organization’s understanding of rate level adequacy, reserve adequacy, and book performance on a segmented basis. This role will: Lead processes that support core actuarial functions and unit economic modeling Support multi-state expansion including, but not limited to, rate development, rate filings, and technology support Analyze and provide recommendations on segmented product pricing enhancements in existing states and provide regulatory support Contribute to a wide range of analytical projects that continuously enhance the business. A key feature of this role is effective collaboration with a peer network across all functional areas to drive accurate, timely and compliant execution of state launches with well-crafted written communications for both internal and external audiences. Building predictive models to support customer lifetime value scoring for both potential and current customers with minimal guidance Building actuarial tools to support trending, loss development, reserving, forecasting, rate measurements, segmentation, etc. Help with the execution of the monthly IBNR reserving process What do you need as the Sr. Actuarial Analyst? Successful completion of 3 CAS actuarial examinations Years of relevant work experience Technical abilities in R/SQL/Python/Excel Strong ability to communicate effectively and to challenge the status quo Strong decision making and relationship building skills Alignment with Clearcover core values Now offering the Clearcover Actuarial Study Program. This program will offer coverage of exam fees and study materials, paid study time off, salary increases, and bonus recognition. But wait, there’s more: As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Predictive Modeling Analyst Auto R D	Clearcover	Our Value Proposition: Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat. In this role as the Predictive Modeling Analyst, Auto R&D Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a technical insurance pro to build products that create confident, happy customers. What will you do as the Predictive Modeling Analyst, Auto R&D Roll up your sleeves to execute on the most important initiatives spanning our customers’ journey Apply your predictive modeling skills to create the future of our insurance product Drive analyses that maximize portfolio lifetime value through individual risk selection Democratize data and insights to facilitate data-driven decision-making across Clearcover Present your technical recommendations to Clearcover’s senior leaders What do you need as the Predictive Modeling Analyst, Auto R&D? 3+ years of experience applying predictive modeling techniques Strong intellectual curiosity with a bias towards action Insurance knowledge with Auto and Property experience is a must Excellent programming skills with experience in SQL, and R or Python Strong communication skills with the ability to explain insurance concepts to both technical and non-technical audiences What would make you an exceptional candidate as the Predictive Modeling Analyst, Auto R&D? Product development experience from concept through post launch monitoring But wait, there’s more: As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law. Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
Data Scientist Manager Pricing R D Auto	Clearcover	Our Value Proposition: Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat. In this role as the Data Scientist Manager, Pricing R&D (Auto): Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a strong leader to build products that create confident, happy customers. What will you do as the Data Scientist Manager, Pricing R&D (Auto)? Roll up your sleeves to design, gain alignment, and execute on impactful initiatives spanning our customers’ journey Lead a small but mighty team to build the future of our insurance product Collaborate with the State Product Management, Product and Technology, Legal and Compliance, Growth, Marketing, and the ClearAI team to attract the right customers at the right time Democratize data and insights to facilitate data-driven decision-making across Clearcover Embrace and champion agile development practices and function as the day to day scrum master on directly managed team(s) What do you need as the Data Scientist Manager, Pricing R&D (Auto)? 7+ years of experience applying advanced quantitative or predictive modeling techniques Successful track record of managing small teams in an Agile framework Strong intellectual curiosity with a bias towards action Deep insurance knowledge with Auto and Property experience preferred Strong communication skills with the ability to understand and explain P&L concepts to a non-technical audience What would make you an exceptional candidate as the Data Scientist Manager, Pricing R&D (Auto)? Strong programming skills with experience in SQL, and R or Python Extensive product development experience from concept through post launch monitoring But wait, there’s more: As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law. Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
Auto Data Scientist Pricing R D	Clearcover	Our Value Proposition: Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat. In this role as the Auto Data Scientist, Pricing R&D Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a technical insurance pro to build products that create confident, happy customers. What will you do as the Auto Data Scientist, Pricing R&D? Roll up your sleeves to execute on the most important initiatives spanning our customers’ journey Apply your predictive modeling skills to create the future of our insurance product Drive analyses that maximize portfolio lifetime value through individual risk selection Democratize data and insights to facilitate data-driven decision-making across Clearcover Present your technical recommendations to Clearcover’s senior leaders What do you need as the Auto Data Scientist, Pricing R&D? 3+ years of experience applying predictive modeling techniques Strong intellectual curiosity with a bias towards action Insurance knowledge with Auto and Property experience is a must Excellent programming skills with experience in SQL, and R or Python Strong communication skills with the ability to explain insurance concepts to both technical and non-technical audiences What would make you an exceptional candidate as the Auto Data Scientist, Pricing R&D? Product development experience from concept through post launch monitoring But wait, there’s more: As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law. Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
Staff Data Scientist	Firebolt	Responsibilities Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt Conduct data analysis to determine which policies we adopt and help inform strategic growth Build machine learning infrastructure, data pipelines and production ready services to serve live traffic Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business Requirements MS in Computer Science, Computer Engineering, or related field 4+ years of experience building large scale recommendation engines, ranking, and personalization systems Thorough understanding of machine learning fundamentals and methodologies Experience building and deploying machine learning models in an applied setting Strong understanding of how to build scalable ML systems supporting online and offline applications Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML Familiarity with best practices of lifecycle management for ML models in industry Mastery of a programming language such as Python, Java, Scala Preferred PhD in computer science or related field Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc. Industry experience in building large-scale recommendation systems in a consumer-based setting. Technical Experience AWS Lambda for data ingestion and Kinesis Firehose to transport them into S3 Step functions and Lambdas to coordinate workflows AWS Redshift as the data warehouse + Spark on EMR for doing ETL Terraform for maintaining infra Jenkins & CircleCI for build pipelines Postgres RDS is our application database Our code base is primarily in Golang & Typescript. However, our data bits are mostly in Python. Check out our Engineering Blog!
Data Science Internship Fall	Wealthsimple	Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. As our team is reimagining what it means to manage your money, Wealthsimple interns are able to be at the forefront of Canada's leading digital financial products and work with smart, high-performing team members who will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for people who love a fast-paced environment and want to ship often and make an impact with groundbreaking ideas. Internships @ Wealthsimple At Wealthsimple, we offer 4 to 12-month internships that are open to co-op and non-co-op students, recent grads, and career changers. During your remote-first internship, you will be able to contribute to projects that are changing the landscape of financial services for Canadians. You will be on a team that supports your growth and provides mentorship while also connecting to the broader Wealthsimple community! Data Science @ Wealthsimple The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision-making and building data products at Wealthsimple. We achieve these goals by: - Building a high quality and scalable state-of-the-art data warehouse that powers all decision making - Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products - Using decision science to understand the cause and effect of our business decisions What you can expect from the interview process: First Interview: 30-minute technical interview (in your language of choice) with two interviewers. We are looking for technical proficiency and judgement, adaptability, communication, and teamwork! Second Interview: 45-minute Interview with a Hiring Manager where you will be walking through a project review and also find out more about your potential team. Last Stage: Offer! 🎉 Interns @ Wealthsimple are completely integrated into the teams they join and get to work on meaningful projects during their time with us! This Fall, we're looking to add Data scientists across our times! Throughout the interview process, we’ll learn more about your skills and interests to match you with the right team at Wealthsimple 🙌 Applications are due on May 16th, 2022. We're looking for people who: Are driven to ship frequently Take ownership in working on projects to successful completion Enjoy tackling new, complex challenges on a regular basis Are comfortable with self-directed learning Believe that debate, inclusivity and transparency result in better products Are eager to learn from your team and others. We value making one another successful! Things you should know about our tech before applying: Familiarity with Python, SQL Basic understanding of statistics: either frequentist and Bayesian approaches Basic understanding of fundamental machine-learning algorithms: regression and decision trees First-hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter Excellent communicator We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work. At Wealthsimple, we embrace difference. We believe that getting to the best outcomes requires diverse perspectives and backgrounds. We create space where all voices can be heard so that we can all do our life's best work. We’re committed to openness, curiosity and creating an inclusive culture as we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.
Data Science Intern	Demandbase	Introduction to Demandbase: Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area. We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! About the Data Science Team: You will be a member of Demandbase’s Central Data Science team that drives product innovation and is responsible for all ML/AI initiatives and projects. We build and apply ML models at every stage of the B2B buyer’s journey. Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren’t yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site. Once ML-generated account lists are built, we launch campaigns to generate awareness and traffic to target sites. Our Data Scientists build pacing, pricing, click-through rate, and engagement models using tens of billions of auctions daily to optimize campaign performance. We build reinforcement learning algorithms to optimize the user experience when potential prospects click on ads/banners and visit our customers’ websites. Our Data Scientists build real-time intent using time series analysis to trigger an alert for sales after potential prospects share their contact information, to contact prospects when there’s an intent surge. ML models are a significant differentiator for each of our offerings in the ABM platform, Targeting, Conversion, and Intent products. Our Data Scientists not only build ML models, but are also substantially involved in productizing the models, and working closely and cross-functionally with data engineering, application, product, and UX design teams to deliver the world’s best account-based marketing and advertising product. Below are examples of some of the types of projects you can expect to work on: Identification and account intelligence: map billions of IPs and cookies to companies Rank accounts in B2B buying journey Intent: develop a browsable taxonomy of intent signals What you'll be doing: Help develop Machine Learning algorithms that optimize and make an immediate business impact on KPIs. Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance in production environments. Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences. Stay current with the latest technology/research and drive innovation. What we're looking for: Current students or those who have graduated within the past year are encouraged to apply Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field Driven more than one greenfield project from concept to production release Proficiency with analytical and database tools (e.g. Jupyter notebooks, Hive, SQL, No-SQL) Demonstrated ability to write clean and performant code in Python Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms. Able to break down complex problems and come up with simple innovative solutions Data is your thing, you love metrics and use metrics to drive projects
Data Science Lead	Magic Eden	This website uses cookies to ensure you get the best experience on our website. We and selected partners use cookies or similar technologies to ensure you get the best experience on the Teamtailor website. With respect to cookies that are not considered necessary (as specified in the Cookie Policy), we and our selected partners may use cookies for the following purposes: personalized website experience, develop and improve products and in some cases targeted advertisement that are based on your interests. You can manage or disable cookies by clicking on "Manage cookies" at the bottom of each website page. Accept all Disable all Cookie preferences Career menu Magic Eden Engineering · Fully Remote Data Science Lead Apply for this job Magic Eden is the #1 NFT marketplace on Solana. Our mission is to be the destination for discovering, trading, and creating NFTs. Magic Eden has been a community-first marketplace since day 1 and strives to be the most customer-centric NFT marketplace. Magic Eden is a remote first company with competitive benefits and perks; all the roles are open for global talent. We're looking for an experienced Data Science Lead to develop insights and frameworks that guide our product roadmap, and to build and maintain data driven optimization models that help elevate our business at scale. The ideal candidate will be passionate about Magic Eden, have strong analytical skills and have experience using data analytic software. You will work closely with our product and engineering teams to get a better understanding of our customers' needs, and use that knowledge to drive and expand growth within our company. Responsibilities Build and maintain data products to generate business insights and improve operational efficiency Use quantitative analysis and the presentation of data to understand what drives our company Provide insights in marketplace dynamics, users behaviors, and long-term trends Work closely with our data engineering team to make effective decisions and build pipelines Building machine learning models that help improve our customer experience and enhance operational efficiency Design data modeling processes, create algorithms and predictive models Work closely with a team of engineers to implement, document and monitor our evolving data infrastructure Qualifications 7 years of experience in the data science/data analytics industry Understanding of statistical concepts and proficient experience in applying them Great professional experience in analytics, business analysis or comparable consumer analytics position Proficient in tableau, SQL and other industry standard software Strong cross-functional skills and the ability to thrive in a fast-paced work environment Strong analytical skills and ability to to develop, and implement analytical data models and dashboards Strong communication and interpersonal skills Preferred Qualifications Knowledge in database, big data and modeling concepts A strong passion and in-depth understanding of the NFT ecosystem Knowledge of blockchain, crypto and web3 applications Magic Eden Offers Competitive compensation and profit-sharing equity Getting to work in a dynamic environment and be part of an international team Working in a high impact environment with a fast feedback loop to implement immense personal growth Magic Eden 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Magic Eden is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at [email protected] Department Engineering Remote status Fully Remote Current Job Openings IT Engineer Engineering · Fully Remote Data Engineer Engineering · Fully Remote Data Scientist Engineering · Fully Remote More jobs Apply for this job Engineering · Fully Remote Data Science Lead Loading application form Start Jobs Data & privacy Manage cookies Employee login Candidate Connect login Already working at Magic Eden? Let’s recruit together and find your next colleague. Log in Applicant tracking system by Teamtailor
Data Scientist	Magic Eden	Career menu Magic Eden Engineering · Fully Remote Data Scientist Apply Magic Eden is the #1 NFT marketplace on Solana. Our mission is to be the destination for discovering, trading, and creating NFTs. Magic Eden has been a community-first marketplace since day 1 and strives to be the most customer-centric NFT marketplace. Magic Eden is a remote first company with competitive benefits and perks; all the roles are open for global talent. We're looking for an experienced Data Scientist to develop insights and frameworks that guide our product roadmap, and to build and maintain data driven optimization models that help elevate our business at scale. The ideal candidate will be passionate about Magic Eden, have strong analytical skills like experimental design, statistical modeling and dashboarding/data visualization. You will work closely with our product and engineering teams to get a better understanding of our customers' needs, and use that knowledge to drive and expand growth within our company. Responsibilities Build and maintain data products to generate business insights and improve operational efficiency Use quantitative analysis and the presentation of data to understand what drives our company Provide insights in marketplace dynamics, users behaviors, and long-term trends Work closely with our data engineering team to make effective decisions and build pipelines Building advanced statistical modeling, machine learning, or data mining techniques that help improve our customer experience and enhance operational efficiency Design data modeling processes, create algorithms and predictive models Work closely with a team of engineers to implement, document and monitor our evolving data infrastructure Qualifications Required Qualifications 3-5 years of experience in the data science/data analytics industry Basic understanding of experimental design (such as A/B testing) and statistical methods Ability and experience in extracting insights from data, and summarizing learnings / takeaways Proficient in SQL and some dashboarding/data visualization (i.e Tableau, Mixpanel, Looker, or similar) Strong cross-functional skills and the ability to thrive in a fast-paced work environment Strong analytical skills and ability to develop, and implement models and dashboards Strong communication and interpersonal skills Preferred Qualifications Knowledge in database, big data and modeling concepts A strong passion and in-depth understanding of the NFT ecosystem Knowledge of blockchain, crypto and web3 applications Magic Eden Offers Competitive compensation and profit-sharing equity Getting to work in a dynamic environment and be part of an international team Working in a high impact environment with a fast feedback loop to implement immense personal growth Magic Eden 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Magic Eden is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at [email protected] Department Engineering Role Data Scientist (Remote) Remote status Fully Remote Current Job Openings Data Science Lead Engineering · Fully Remote IT Engineer Engineering · Fully Remote Data Engineer Engineering · Fully Remote More jobs Apply Engineering · Fully Remote Data Scientist Loading application form Start Jobs Data & privacy Manage cookies Employee login Candidate Connect login Already working at Magic Eden? Let’s recruit together and find your next colleague. Log in
Principal Data Scientist	Sportradar	Synergy Sports, A Division of Sportradar, is looking for a talented Principal Data Scientist to join our software team. Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products. Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as: Sports Workflow ApplicationsSports Analytics Systems Synergy Sports is a globally distributed company, with employees working from home offices. The Director of Data Science must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded. The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team. Objectives & Responsibilities The Principal Data Scientist will work on the following types of projects and tasks: Lead and grow a global squad of data scientists and data engineers,Collaborate closely across the sport verticals (basketball, baseball, hockey), sales, and product teams to prioritize a roadmap for the data science team,Promote best practices in all aspects of the engineering and modeling lifecycles,Deliver ML models and data pipelines that solve challenging problems,Build trust and foster a collaborative team culture of engineering excellence, andMentor and develop people across all levels through fostering exploration, knowledge-sharing, and leveraging the skills of others. Requirements Key Requirements and Attributes: 5+ years leading data science or software engineering teamsExperience with the full ML development lifecycle using modern technology in a business-critical settingStrong understanding of state-of-the-art data science techniquesInspiring leadership style that will attract and develop a high-performing teamAbility to stimulate collaboration across technical groupsExcellent communication skills for technical and non-technical audiences. Bonus Superpowers: MS or PhD in a quantitative field (e.g. engineering, mathematics, computer science, physics, etc…)Experience with leading geographically diverse teamsFamiliarity with Amazon AWSExperience with geospatial and time series data setsAn interest in sports Benefits Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.Competitive salary based on your experience.
Data Scientist	Sportradar	Synergy Sports, A Division of Sportradar, is looking for a talented Data Scientist to join our software team. Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products. Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as: Sports Workflow ApplicationsSports Analytics Systems Synergy Sports is a globally distributed company, with employees working from home offices. The role must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded. The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team. Requirements 5+ years of experience in data science or data engineering related roleDemonstrated, creative problem-solving using data analysisApplied experience with regression analysis and other statistical modeling techniquesStrong proficiency in PythonFundamental understanding of Machine learning concepts (e.g. cross-validation, statistical basis for ML algorithms, etc..) Bonus Superpowers: Experience scaling and operationalizing data science models in production settingsExperience working with MongoDB, MySQL, or other relational/noSQL databasesSoftware engineering backgroundSport-specific analytics experiencePrevious experience leading a team Benefits Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.Competitive salary based on your experience.
Sr Data Scientist Machine Learning Ads Quality	Reddit	We are looking for a Machine Learning Data Scientist to work within the Ads Data team. You will work closely with engineers and product owners from our Ads team to 1) optimize ads delivery and auction systems, 2) shape product roadmap and strategy of ads quality and relevance. This person has a solid business acumen and knows what is important to advertisers and users (i.e. redditors). In addition, this person needs to demonstrate strong cross-functional stakeholders management capabilities. Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Responsibilities: Research, design and develop contextual ad relevance models. Reddit ad is a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ad quality. You will design metrics and mechanisms to understand different tradeoffs between user engagement and ad quality. You will develop algorithms that would optimize both ad quality and ad delivery. Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements. This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations. Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling. What We Can Expect From You: Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields Master’s or PhD degree is preferred but not required 4+ years of experience (for Bachelor’s/Master’s); 2+ years of experience (for Phd) in quantitative/modeling roles, preferably for a consumer-facing service/app Proficiency in machine learning, statistical modeling, and optimization Understanding of experimentation and causal inference analyses Strong analytical and communication skills Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow) Computer vision experience strongly preferred Strong skills in SQL and programming (Python or R) Experience in online advertising is preferred but not required
Sr Data Scientist Analytics Ads Measurement	Reddit	We are looking for a Data Scientist to work with our Ads Measurement product team. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product decision and strategy. In addition to strong analytical skills, you will have an interest in data quality and collaborating with engineers to ensure we have the data we need to assess product performance. Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. How You’ll Have Impact: Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business. We have spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets. As a data scientist on the ads data team you’ll be a key player in ensuring we make the right product decisions based on data insights, play with the large datasets from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and thousands of advertisers. What You’ll Learn: You will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company. You’ll play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem. In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference. What You’ll Do: Analyze conversations and behaviors across Reddit's 10,000 interest-based communities, and convert them into insights and product recommendations. Understand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers. Conduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health. Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization. Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data. Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts. Who You Might Be: 2+ years of experience in data analytics or related quantitative role Demonstrated ability to influence and guide product strategy with data Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit Strong ability to communicate and discuss complex topics with technical & non-technical audiences Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python) Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker) Experience in online advertising or marketing attribution
Data Scientist Lead Payments	Level	What You'll Do: Build, optimize, and scale money-moving systems across all of our products and users Drive strategic deals and integrations with partners across the payments ecosystem, including banks, credit card networks, and processors Reconcile payments data between systems, banks, and processors Develop a data-driven roadmap for new financial products Collaborate with cross-functional teams including engineering, data science, finance, and operations Help us rethink how businesses and people pay for and use their employee benefits Identify and scope product challenges that are ripe for data science solutions—like risk modeling, data-informed insurance plan design, dentist search optimizations Work cross-functionally to inform data collection, productionize data science work, and integrate machine learning into the product Who You Are: 4+ years of payments, finance, or consulting experience 5+ years of industry experience in relevant roles such as data scientist, data analyst, or data engineer Expertise with payments infrastructure (ACH) and reconciliation (AR/AP) Experience working with and building API integrations with large partners Strategic thinking, problem solving, and analytical skills Clear and effective communication style An ownership mentality, eager to grow in an early-stage company Prior experience in risk modeling, forecasting, or working with time series data Prior experience working with dirty or high-dimensional, categorical data Experience with SQL, proficiency in one scripting language like R or Python working in a collaborative development environment, and willingness to pick up new programming languages. Experience working with highly confidential information. Bonus: Prior experience working with healthcare and insurance data, and experience leading a team of Data Scientists and Data Analysts. Our technologies: These are some of the technologies we use today. You don’t need to be familiar with all of these; many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with. Languages and libraries - Python, Go, Protobuf, gRPC Amazon Web Services (AWS) - Relational Database Service (RDS), S3, Elastic Kubernetes Service (EKS), Sagemaker Google Cloud Platform (GCP) - BigQuery GitLab ElasticSearch Looker What We Offer: Have the chance to work at a leading innovator and trailblazer in the world of insurance and payments. Competitive salary and equity 100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents Flexible vacation policy - take the time you need when you need it! Fully Paid Parental leave for 3 months Quarterly Company sponsored events Internal learning and development programs
Data Scientist Risk	Level	What You'll Do: Identify and scope product challenges that are ripe for data science solutions—like risk modeling, data-informed insurance plan design, dentist search optimizations Work cross-functionally to inform data collection, productionize data science work, and integrate machine learning into the product Drive new features and improvements across all our products and services by finding innovative ways to use data to help customers Build the infrastructure that allows us to scale by defining analytic requirements, developing analysis plans, and ensuring data quality standards Who You Are: 5+ years of industry experience in relevant roles such as data scientist, data analyst, or data engineer Strong product sensibilities Critical thinking, problem solving, and analytical skills Clear and effective communication style Prior experience in risk modeling, forecasting, or working with time series data Prior experience working with dirty or high-dimensional, categorical data Prior experience productionizing data science work Experience with SQL, proficiency in one scripting language like R or Python working in a collaborative development environment, and willingness to pick up new programming languages Bonus: Prior experience working with healthcare and insurance data, and experience leading a team of Data Scientists and Data Analysts Our technologies These are some of the technologies we use today. You don’t need to be familiar with all of these—many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with. Python MySQL GitLab Amazon Web Services (AWS) ElasticSearch Kubernetes Looker Go Protobuf / gRPC What We Offer: Have the chance to work at a leading innovator and trailblazer in the world of insurance and payments. Competitive salary and equity 100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents Flexible vacation policy - take the time you need when you need it! Fully Paid Parental leave for 3 months Quarterly Company sponsored events Internal learning and development programs
Data Science Intern	Level	Please Note: This is a Fall 2022 (Sept - Dec 2022) Internship What You'll Do: Build data-driven products such as fraud detection systems, insurance plans, and dentist search optimizations. Work cross-functionally with engineering, clinical, and operations to inform data collection, productionize data science work, and integrate machine learning into the product Drive new features and improvements across all our products and services by finding innovative ways to use data to help customers Work on building the data model our platform will use to organize information for online and offline use Our technologies: These are some of the technologies we use today, but they aren't a requirement. Many successful members of our team learned them with us. During our interview process, you are free to use any language you're most comfortable with. - Python - Go - Kubernetes - Protobuf / gRPC - AWS - SQL - ElasticSearch What We Offer: Mentorship from day 1 to help acclimate you to the company and ensure you're set up to succeed Frequent feedback on projects to help fuel growth and success Ability to learn new technologies and work on projects based on your current skillset and growth goals Participation in decisions that go into launching the product Opportunity to work closely with a team that collectively has decades of experience in the tech industry Social hour every two weeks Competitive compensation Travel to NYC for team events $100 monthly food stipend $200 home/office set-up reimbursement
Senior Data Scientist	Liveperson B3E7D1B9 E969 4833 Ad29 0B075Ce3Cfe8	Senior Data Scientist- Remote United States \| Data Science & ML Apply LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are. We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team. You will thrive here if: You can operate in a fast paced, dynamic environmentYou can build partnerships that move our business forward You see feedback or failure as motivation to learn and to grow You believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts In this role, you will work with one of the world’s largest goal-oriented conversational datasets to push the boundaries of computational linguistics and drive innovative new products. In addition to a world-class data set, you’ll also have an at-scale population of expert data annotators (contact center agents) to help drive investigation and learning. In this role you will: Analyzing and drawing insights from large scale conversational datasetsChoosing between many available state-of-the-art methods and tools, and consistently finding the most effective, efficient, stable, explainable, and where possible, simple approachesDesigning and building modern, flexible pipelines and services for delivering and navigating insights Creating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to intent and dialog management, and create pipelines to accelerate and scale this effortUsing and presenting research findings in ways that inform and sometimes guide business and product strategyCommunicate the research findings to the internal business stakeholders. Your qualifications are: Masters/PhD in Mathematics, Statistics, Operations Research, Computer Science, Machine Learning or a related field, or BSc + ExperienceAnalysis, problem-solving, communication, and critical-thinking skillsCore strength in Statistical models, e.g., for significance testing, forecasting, regression, hypothesis testing, causal inference, and AB testingUnderstanding of ML fundamentals, ideally including Deep LearningStrong hands-on programming skills, e.g., Python and SQL, Experience with frameworks for Statistical Analysis, Machine Learning (Pandas, Scikit-Learn, etc.)Ability to efficiently write, test, monitor, and improve production-quality codeCuriosity and interest in learning new applications and toolingAbility to work closely with teammates in a highly collaborative environment, as well as providing strong individual contributionsProduction ML evaluation and monitoring performance once completedUnderstanding of NLP/NLU is preferred #LI- Remote Why you’ll love working here: LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits and flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together. At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Upload your resume (PDF, Word, or Rich Text) * First Name* Last Name* Email* Phone Number* Are you currently eligibile to work in the United States? * YesNo Do you now or in the future require visa sponsorship to continue working in the United States? * YesNo Voluntary Self Identification If you’d like, please share with us some additional information about yourself (e.g. your race, ethnicity, sexual orientation, gender identity, and disability information). It’s completely voluntary. This information will be used to help us know more about people who interview with us and ensure representation in who we consider in our efforts to provide an equal opportunity to everyone who wants to work at LivePerson. Gender Please Select Please identify your race Please Select Disability Status Please Select Veteran Status Please Select Privacy Policy You acknowledge that information submitted to LivePerson is subject to LivePerson's General Data Protection Regulation Candidate Privacy Notice (applicable only to EU candidates) and California Consumer Privacy Act Privacy Notice (applicable only to California candidates). For all other applicants, you may disregard this notice and click confirm to submit your application. Confirm * Submit Application
Data Scientist Ii Dialogue Management	Liveperson	Data Scientist II - Dialogue Management- Remote United States \| Data Science & ML Smart Apply LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are. We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team. You will thrive here if: You can operate in a fast paced, dynamic environmentYou can build partnerships that move our business forwardYou build code that is simple, understandable, and clean You see feedback or failure as motivation to learn and to grow You believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts In this role you will: Develop and apply machine learning approaches to conversational decision making and dialogue management in both a commercial and research settingUse your expert knowledge of state-of-the-art methods and tools to consistently find the most effective, efficient, stable, explainable, and elegant approachesDesign and build modern, flexible machine learning training pipelinesAnalyze large scale conversational datasetsBringing research-driven models to life within production systemsCreating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to dialog management, and create pipelines to accelerate and scale this effortUse and present research findings in ways that inform and sometimes guide business and product strategyLead publication efforts in top dialogue conferences such as ACL, SIGdial, Neurips, Interspeech…etc Your qualifications are: Masters/PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related fieldPublication history in AI/ML/NLP conference with a focus on dialogue management research or extensive experience within the commercial space working on production dialogue management systems.Hands on experience with Deep Learning for dialogue management Analysis, problem-solving, communication, and critical-thinking skillsStrong understanding of Machine Learning fundamentalsStrong programming experience in PythonStrong communication skills and a team player Why you’ll love working here: LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits and flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together. At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. By clicking apply for this job you acknowledge that information submitted to LivePerson is subject to LivePerson's General Data Protection Regulation Candidate Privacy Notice (applicable only to EU candidates) and California Consumer Privacy Act Privacy Notice (applicable only to California candidates). For all other applicants, you may disregard this notice and click confirm to submit your application. In a 3 minute conversation, you: Fast track your initial screening Automatically apply to similar roles Get answers to your basic questions OR Fill out Application Form
Lead Data Scientist Risk And Fraud	Dave Inc	Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck. As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii. Team Overview Dave is looking for an experienced and passionate lead data scientist in our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers. What You'll Do Be constantly curious and continue to pursue in-depth explorations of our datasets and business. Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders. Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current- and next-generation GPU, network and compute architecture. Partner with the Engineering and Product teams to develop and deploy ML solutions into production. Participate in production ML infrastructure design or enhancement with holistic vision and best practices in the industry. Enforce and enhance the high quality and high performance principles to the team. What You'll Need Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus. 7+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on. 7+ years experience as an ML scientist/engineer with proven ability in developing ML models in Python/R Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms Ability to communicate your ideas/code clearly to business stakeholders. Enjoy working with multiple levels and teams across organizations (engineering, product and marketing teams etc.) Effective verbal/written communication, and technical presentation skills Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team Preferred Experience ML model deployment in production experience plus Experience in Financial Services or FinTech plus Experience in credit, fraud, automation and personalization/recommendation system Benefits & Perks • Premium Medical, Dental, and Vision Insurance plans • Insurance premiums 100% covered for you and 80% for your dependents • Company provided Basic Life and Short-Term and Long-Term Disability plans • Generous paid parental and caregiver leave • Voluntary Life Insurance • 401(k) savings plan with matching contributions • Unlimited PTO and generous company holidays • Company laptop and home office stipend • Personal financial advisor Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE #BI-Remote
Senior Data Scientist	Dave Inc	Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck. As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii. Team Overview Dave is looking for experienced and passionate full-stack data scientists for our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers. What You'll Do Be constantly curious and continue to learn/pursue in-depth explorations of our datasets and business. Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders with/without direction from a tech lead. Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current and next generation GPU, network and compute architectures Partner with our Engineering and Product teams to develop and deploy ML solutions into production. Continuous monitoring and evaluating model performance Conduct model related analyses to provide comprehensive insights about ML solutions with high quality principles in mind. What You'll Need Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus. 5+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on. 5+ years of experience as an ML scientist/engineer with proven ability in developing ML models in Python/R Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms Ability to communicate your ideas/code clearly to business stakeholders. Enjoy working with multiple levels and teams across organizations (engineering, product, business and marketing teams etc.) Effective verbal/written communication, and technical presentation skills Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team Preferred Experience ML model deployment in production experience plus Experience in Financial Services or FinTech plus Experience in credit, fraud, automation and personalization/recommendation system #LI-KM1 Benefits & Perks • Premium Medical, Dental, and Vision Insurance plans • Insurance premiums 100% covered for you and 80% for your dependents • Company provided Basic Life and Short-Term and Long-Term Disability plans • Generous paid parental and caregiver leave • Voluntary Life Insurance • 401(k) savings plan with matching contributions • Unlimited PTO and generous company holidays • Company laptop and home office stipend • Personal financial advisor Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE #BI-Remote
Data Scientist Ii	Dave Inc	Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck. As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii. Team Overview Dave is looking for experienced and passionate full-stack data scientists for our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers. What You'll Do Be constantly curious and continue to learn/pursue in-depth explorations of our datasets and business. Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders with/without direction from a tech lead. Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current and next generation GPU, network and compute architectures Partner with our Engineering and Product teams to develop and deploy ML solutions into production. Continuous monitoring and evaluating model performance Conduct model related analyses to provide comprehensive insights about ML solutions with high quality principles in mind. What You'll Need Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus. 3+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on. 3+ years of experience as an ML scientist/engineer with proven ability in developing ML models in Python/R Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms Ability to communicate your ideas/code clearly to business stakeholders. Enjoy working with multiple levels and teams across organizations (engineering, product, business and marketing teams etc.) Effective verbal/written communication, and technical presentation skills Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team Preferred Experience ML model deployment in production experience plus Experience in Financial Services or FinTech plus Experience in credit, fraud, automation and personalization/recommendation system #LI-KM1 Benefits & Perks • Premium Medical, Dental, and Vision Insurance plans • Insurance premiums 100% covered for you and 80% for your dependents • Company provided Basic Life and Short-Term and Long-Term Disability plans • Generous paid parental and caregiver leave • Voluntary Life Insurance • 401(k) savings plan with matching contributions • Unlimited PTO and generous company holidays • Company laptop and home office stipend • Personal financial advisor Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE #BI-Remote
Data Scientist I	Dave Inc	Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck. As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii. Team Overview Dave is looking for experienced and passionate full-stack data scientists for our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers. What You'll Do Be constantly curious and continue to learn/pursue in-depth explorations of our datasets and business. Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders with/without direction from a tech lead. Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current and next generation GPU, network and compute architectures Partner with our Engineering and Product teams to develop and deploy ML solutions into production. Continuous monitoring and evaluating model performance Conduct model related analyses to provide comprehensive insights about ML solutions with high quality principles in mind. What You'll Need Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus. 1+ year of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on. 1+ years of experience as an ML scientist/engineer with proven ability in developing ML models in Python/R Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms Ability to communicate your ideas/code clearly to business stakeholders. Enjoy working with multiple levels and teams across organizations (engineering, product, business and marketing teams etc.) Effective verbal/written communication, and technical presentation skills Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team Preferred Experience ML model deployment in production experience plus Experience in Financial Services or FinTech plus Experience in credit, fraud, automation and personalization/recommendation system #LI-KM1 Benefits & Perks • Premium Medical, Dental, and Vision Insurance plans • Insurance premiums 100% covered for you and 80% for your dependents • Company provided Basic Life and Short-Term and Long-Term Disability plans • Generous paid parental and caregiver leave • Voluntary Life Insurance • 401(k) savings plan with matching contributions • Unlimited PTO and generous company holidays • Company laptop and home office stipend • Personal financial advisor Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE #BI-Remote
Senior Performance Marketing Data Science Manager	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 best-in-class 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 Data Science organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role could be a great fit! We're looking for a Senior Manager with strong technical and leadership skills to lead our Performance Marketing Data Science team. I In this role, you will: Partner with one of Atlassian's most data driven teams to measure performance and identify opportunities within Paid Advertising, Content Marketing & Email.Apply creative analytical problem solving skills to a wide variety of questions to deepen our understanding of marketing channel effectiveness.Work cross functionally with Data Engineering, Machine Learning and Operations teams to bring data to the forefront of marketing decision making.Build and lead a high performing team of data scientists (team of 5 today with significant growth planned). On the first day, we'll expect you to have: 6 + years of experience in analytics or closely related fields2 + years of experience managing teamsA passion for building analytics frameworks to measure new and open ended business strategiesExperience with marketing measurement techniques including channel attribution, lifetime value/mROI and incrementality testing. A proven track record for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsComfort with structuring and coaching others to work through open-ended business questions through analyticsAdvanced proficiency in SQLA willingness to learn and adapt to new technologies and methods as needed It's great, but not required, if you have: Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.Experience with scripting and analysis languages (Python, R)Familiarity with statistics and probability
Data Scientist Talent Acquisition	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 partner with other analysts to help support best-in-class talent acquisition 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 talent acquisition and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong then this role could be a great fit! On the first day, we'll expect you to have: 3-5 years of experience in HR/recruiting analytics or closely related fieldsProficiency in reading and writing SQL queriesA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impactComfort working with remote teammates and remote-friendly workflowsExperience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.A willingness to learn and adapt to new technologies and methods as needed It's great, but not required, if you have: Experience with HR and recruiting in high-growth companiesExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for recruiters and leadership teamsFamiliarity with statistics and probability
Machine Learning Scientist	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 is looking for a Machine Learning Scientist specializing in search to join our Core ML team! You will be a member of the Core ML team but also partner with the Search Platform team to help to build out the machine learning and data science capabilities to provide our Atlassian customers with a fast, relevant search experience. Your work will impact millions of users across a whole suite of Atlassian products as you define the foundations for how teams find what they are looking for. This position offers a unique opportunity to work in an exciting environment by implementing cutting-edge machine learning techniques to solve tough, yet unique problems in the enterprise search space. In this role, you'll get to: Tune the search strategy across a large variety of information retrieval use cases and query intentsApply and refine optimization and NLP techniques to enable a more personalized, customized search using behavioral data and user-generated contentDesign and execute experiments to test hypotheses for improving the relevance of search resultsWork with our seriously large volume of analytics data to understand insightful trends and behaviorsCraft machine learning and predictive models to drive intelligent product features On your first day, we'll expect you to have: Bachelor or higher degree (or equivalent) in a quantitative subject (statistics, mathematics, computer science, engineering, or physics)Industry experience in the data science or machine learning domainDevelopment experience in a programming language, Python is strongly preferredExpertise in SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Experience developing, building, and scaling machine learning models in business applications using large amounts of data. Previous experience in search or recommender systems is highly regardedAbility to communicate and explain data science and machine learning concepts to diverse audiences and craft a compelling storyFocus on business practicality and the 80/20 rule; very high bar for output quality but recognize the business benefit of “having something now” vs “perfection sometime in the future”Agile development approach, appreciating the benefit of review, constant iteration, and improvement within a collaborative team environment It's great, but not required if you have: Experience working in an enterprise or B2B space for a SaaS product provider, as well as the consumer or B2C spaceExperience with information retrieval and solving complex search relevance and ranking problemsFamiliarity with search technologies including ElasticSearch, Solr or otherwiseKnowledge of advanced machine learning and deep learning methods applied to digital user behaviours
Head Of Product Data Science Workplace Management	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 their 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're looking for an Analytics & Data Science leader (Group Manager) with strong business instincts, management experience, creativity, and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, drive smarter product decisions, and ultimately delight our customers. In this role you'll get to: Collaborate with Atlassian’s product leaders to provide data-driven viewpoints on strategic decisions, identify high impact opportunities for analysis and align priorities with the company strategy and product roadmapLead a team of data science managers and plan insight and measurement roadmaps by collaborating with product partners, customer research, data engineers and other analystsDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueBe 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 your partners use data to make decisions On the first day, we'll expect you to have: Extensive proven experience applying your analytics to initiatives 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; with experience coaching teams to balance rigor, perfection and speedStrong ability to influence; crafting compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertaintiesFamiliarity partnering with multiple business functions. For example; Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsExtensive previous experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in A/B experimentationA 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 SaaS business model and metricsPreviously worked in global teams and high growth companiesAre an active member of the broader analytics and data science community
Senior Product Data Scientist Work Management	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! We are looking for a Senior Data Scientist to join our Product Data Science team. We're seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to drive smarter product strategy and ultimately, delight our customers. You will partner with our Work Management leadership team (includes products Confluence and Trello) informing their strategies with data and insight as they define Atlassian's place in defining the future of work for all types of teams (beyond software and IT teams, our key markets). If you are looking to make a big impact, partner closely with senior product leadership, and take your career to the next level, we encourage you to join us in this exciting journey! In this role, you'll get to: Partner directly with product leadership on building strategies and product roadmaps for our Work Management offerings.Leverage our rich user and customer data to drive actionable analytics insights, build scalable solutions, define success metrics and measure the impact of various product and business initiatives.Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts.Be 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 your first day, we'll expect you to have: 5+ years of experience in applying your analytics skills to projects which have had a positive impact on company-level business and product decisions.A passion and talent for product and business strategy. Being comfortable with open-ended questions and ambiguity.Excellent verbal & written communications skills. Explaining complex concepts to diverse audiences, and crafting compelling stories.Demonstrated ability to work in a fast-paced environment, build strong, influential cross-team and cross-functional partnershipsAn 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"Expertise in data manipulation and statistical programming languages (e.g. SQL, R or Python).Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny).Experience in using statistics as part of your role (e.g. regressions, A/B tests, causal inference). It's great, but not required of you to have: An understanding of the SaaS development, business model, and metrics.Experience in product analytics, customer analytics or other analytics function within a tech company.Experience working in a global environment with remote teams.Experience across a broad set of statistical and machine learning methods to build descriptive and predictive models.
Data Scientist	Inmarket	Job Title: Data Scientist Location: Remote (US-Only) About InMarket Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate real-time, and measure success in driving sales. InMarket, which raised no venture capital funding to date, holds more than 27 patents across location, attribution and digital marketing, and its GeoLink self-service marketing platform was awarded Best Location Marketing Platform at the 2021 MarTech Breakthrough Awards and best Location Platform at the 2020 Digiday Technology Awards. InMarket ranked 280 on the 2021 Deloitte Technology Fast 500 list and its nationwide team is united across more than 20 states. Your Role Data science is a core driver of InMarket’s product design and innovation. As a data science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack. Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading digital advertising and measurement products. These solutions will be intelligent, adaptive, operate at scale and make decisions on how to act within milliseconds. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI. Responsibilities and Duties Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production Take ownership of core machine learning products to expand our capabilities and push our performance boundaries Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements Collaborate closely with our engineering and product teams to expand our machine learning platform Qualifications Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred) Solid understanding of modern data science and machine learning theory and methods Professional or academic experience using statistical modeling and machine learning to solve complex, data-driven problems Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus Familiarity with the digital media / advertising industry is a big plus. Benefits Summary Competitive salary, stock options, flexible vacation Medical, dental and Flexible Spending Account (FSA) Company Matched 401(k) Unlimited PTO (Within reason) Talented co-workers and management Agile Development Program (For continued learning/professional development) Paid Paternity & Maternity Leave InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.
Manager Sr Manager Analytics Consulting	Tiger Analytics	Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Applying management concepts such as pricing theory, operations and supply-chain management, demand forecasting methods, etc. to build data models Ability to understand the business context by discussing existing data models with senior client leaders Ability to break down a project into specific tasks involving business analysis, data science and engineering Ability to work with IT and Data Engineering teams to embed analytic outputs in business processes Direct teams of business analysts to create data driven solutions Architect data analytics frameworks and solutions to solve data driven business problems Use Data Science, Machine Learning, Artificial Intelligence, Operational Research technique to develop data models Research the academic and industrial best practices in the data modeling and analytics field Develop use cases such as market-mix modeling, Bayesian modeling, Time-series modeling, natural language processing, and image analytics. Build quantitative programs using latest analytics or statistical modeling tools Extract, transform and organize the data into datasets using tools like SQL Develop solution algorithms using statistical modeling tools using R, SAS, etc. Report the results and insights using business intelligent tools like Tableau, Micro Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions Experience in Python/PySpark. Knowledge of traditional SQL databases like DB2 and Teradata as well as big data platforms like Azure Validate the results of the model solutions by developing testing frameworks using Hadoop, Python, etc. 6-10 years of professional work experience with at least 5 years in business data analytics Bachelor's degree in business administration or a closely related field. MBA preferred. Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Knowledge of statistical and machine learning algorithms Strong project management and team management skills and ability to work with global teams Strong SQL skills and excellent knowledge of visualization tools like Tableau Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Senior Data Scientist	Tiger Analytics	Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Bachelors Degree in Data Science, Computer Science, or related field 5+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Staff Data Scientist	Fluence	Fluence (Nasdaq: FLNC) is a global market leader in energy storage products and services and digital applications for renewables and storage. With a presence in 30 global markets, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable storage products, comprehensive service offerings, and the Fluence IQ platform, which delivers AI-enabled digital applications for managing and optimizing storage and renewables. The company is transforming the way we power our world by helping customers create more resilient and sustainable electric grids. For more information, please visit fluenceenergy.com. OUR CULTURE AND VALUES We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed. We are Leading Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day. We are Responsible Fluence is defined by its unwavering commitment to safety, quality, and integrity. We are Agile We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams. We are Fun We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all. This position will be within the Fluence Digital business unit, formed following Fluence’s acquisition of San Francisco-based start-up AMS. Fluence Digital’s IQ platform uses artificial intelligence, advanced price forecasting, portfolio optimization and market bidding to ensure energy storage and flexible generation assets are optimally participating in wholesale electricity markets. About the position: This position will be within the new Fluence Digital business unit, formed following Fluence’s acquisition of San Francisco-based start-up AMS. Fluence Digital’s software technology uses artificial intelligence, advanced price forecasting, portfolio optimization and market bidding to ensure energy storage and flexible generation assets are responding optimally to price signals sent by the market. As a Staff Data Scientist, you will provide technology leadership and partner with cross-functional teams to develop and guide our energy price forecasting products. You will be able to identify the most impactful projects, proactively remove impediments, and successfully drive towards key initiatives. You are skilled at mentorship and coaching, and passionate about growing other leaders from within the Data Science team. Key responsibilities include: Work alongside other Data Scientists on developing cutting edge Machine Learning (ML) algorithms to forecast energy prices used to bid renewable energy assets into energy markets Provide strong technical leadership for Fluence Digital’s Forecasting products Stay current with latest advances in ML and statistical methods for time series forecasting, bringing relevant advances to the team for deeper investigation and potential implementation Investigate, evangelize and help implement software development and MLOps best practices in forecast application with a goal of constant improvement Work with Software Engineering and Data Science teams to design, deploy and monitor ML models and pipelines in production Define and monitor key metrics around forecasting algorithm performance Contribute to a strong culture of R&D in the Data Science team with the goal of constant improvement in algorithm performance Establish and communicate best practices and standards in software engineering to ensure best in class operations Expand team through hiring as needed Model and cultivate a culture of inclusivity, trust, exceptional communication, collaboration, respect, continuous learning, and enthusiasm for our work What will our ideal candidate bring to Fluence? 7+ years of experience developing and deploying ML models to production, preferably using Python Hands on experience or working familiarity with generating probabilistic time series forecasting using both classical and ML based techniques a plus Hands on experience with deep learning models a plus Knowledge of the Energy industry, especially energy markets, a plus Demonstrated ability to collaborate with cross-functional teams and build solid working relationships — from individual contributors to executives Experience working and delivering products or services in an agile/lean environment Excellent communication skills #LI-Remote In Colorado, the standard pay range for this role is $126,000 - 160,000 annually. This range is specific to Colorado and may not be applicable in other locations. Fluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.
Data Scientist Us	Andela	About the role Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns and many others. Data Science is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. A Data Scientist at Andela will be involved in building ground breaking solutions often embedded in products serving both the marketplace and various business functions. You will be defining solution architecture, crafting the appropriate machine learning / optimization / experimentation model and guiding the execution of this model in collaboration with the Andela data, engineering and product teams. Responsibilities: Work with the Principal Data Scientist and other business partners to identify problem domains and corresponding data science approaches Develop the Minimum Viable Product (MVP) version of the solution Deploy the solution in production in collaboration with the data, engineering and product teams Requirements: Graduate degree (MS/Ph.D.) in quantitative field such as Economics / Statistics / Operations Research / Computer Science 2-3 years work experience applying quantitative methods to business problems Flexibility in working with a variety of data science approaches Hands-on with coding, Python strongly preferred Nice-to-have: proficiency in mathematical modeling #LI
Senior Data Scientist Product	Betterup	Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking.We’re looking for an experienced Data Scientist who cares deeply about their craft, and who wants to use their skills to bring about positive change in the world while working in a high-performing organization. At BetterUp, the opportunities to apply ML for Social Good are ever-expanding, ranging from developing personalization systems that meet someone where they're at and help them reach their full potential to understanding multimodal human-to-human communication and what makes effective coaching through state-of-the-art natural language processing, computer vision, and audio signal processing.We're looking for someone who is comfortable in the rapidly changing nature of a startup environment but also adept at moving relentlessly forward: doing what needs to be done to unblock projects that truly deliver value to our users. At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passions for empathy, excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission. Responsibilities: Data product engineer: Build and deploy machine learning models into production designed for operational excellence and rapid iteration/optimization. Data storyteller: Effectively deliver analysis, insights, and recommendations to answer cross-functional business questions with clearly communicated artifacts using statistical analysis, ad-hoc reporting, etc. Applied behavioral scientist: Advance the understanding of behavior change and interventions by measuring quantitative and qualitative signals across a breadth of psychographic signals. Act as an owner: It’s not done until it’s in production. Adept at moving projects forward and able to unblock projects regardless of the role on the project. Do less, deliver more: Familiar with the terms YAGNI and yak shaving? Focus your efforts on high impact initiatives that really move the needle. Impress yourself: We hold ourselves to quality above and beyond something that “just gets it done”. Each line of code is an opportunity to blend craftsmanship with playfulness. Collaborate without ego: Willing to take on roles small or large in order to further the mission at hand. Stay on your edge: Continuously learning and applying emerging technologies. Pushing yourself and your team to new heights. Practice imagination: Hypothesize meaningful questions and dive into data to uncover insights. If you have some or all of the following please apply: Bachelors Degree or Masters Degree in Computer Science or related Engineering field preferred 5+ years of relevant industry experience, at least part of which in a startup environment Succeeded in a remote work environment Expertise with computation, data analysis, and machine learning libraries in Python like Pytorch, Tensorflow, NumPy, scikit-learn, etc. Experience with state-of-the-art machine learning architectures and models spanning Natural Language Processing (NLP), Deep learning, graph neural networks, etc. Experience with Transformer-based models for language and vision Effective analytical presentation skills using living Jupyter notebooks and static presentation formats Solid understanding of feature selection and hyperparameter tuning, prototyping and evaluating models, and optimizing classifiers for production You’re a data wrangler: processing, cleansing, enriching, augmenting, and verifying the integrity of data used for analysis Familiarity with continuous learning, active learning, weak supervision, self-supervision, one/few-shot learning, transfer learning, etc, a plus Experience with multimodal systems, RecSys, and personalization is also a plus Strong verbal and written communication Impressive portfolio (patents, publications, Kaggle profile, Github, Open Source contributions, etc.) Benefits: At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Full coverage for medical, dental and vision insurance Employer Paid Life, AD&D, STD and LTD insurance Flexible paid time off Per year: 13 paid holidays 4 BetterUp Inner Work days (https://www.betterup.co/inner-work) 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. #LI-Remote
Senior Data Scientist Pricing	Shutterfly	Description At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are. The Shutterfly Personalization Data Sciences Team is recruiting a Senior Data Scientist - Pricing as thought leader within a broad array of machine learning applications to help make informed pricing and promotional decisions that increase revenue and profitability. Our growing team of data scientists and engineers will give you with the opportunity to work with virtually every form of customer purchase and engagement data, applying state of the art techniques for customer personalization and price optimization. What You'll Do Here: Provide thought leadership within pricing and promotions analytics and translating complex concepts for non-analytical peers within Marketing, Ecommerce, Product and EngineeringDevelop experimental designs to support test and learnApply advanced knowledge of SQL and the ability to extract and deploy complex modeling features through our MLops feature storeSize the impact of the models on key business measuresBuild machine learning models using Python which can recommend optimal product, price, offer, content and information.Provide actionable insights to drive key decisions across the marketing organization using a range of analytical/statistical techniques from descriptive analysis to predictive/explanatory modelsBe a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems The Skills You'll Bring: MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, economics, finance or applied statistics. 5+ years of experience in developing and deploying machine learning and deep learning models including experience in the context of discount and pricing in an ecommerce setting. Exhibited knowledge of pricing and promotional strategies. Candidates should have a deep understanding of how pricing and promotions impact customer behavior and sales.Hands-on experience with linear programming tools such as PuLP for optimization of constrained pricing decisioning.Experience with state-of-the-art ML frameworks such as Sklearn, Tensorflow and PyTorch. Experience with MLops tools and platforms such as MLflow, Sagemaker and DataBricksAdvanced SQL skillsPractical experience with distributed data platforms: Map/Reduce, Hadoop, SPARKUsage of cloud compute solutions, eg. AWS, GCS or AzureExperience with version control systems such as GithubHands-on experience with Unix and shell scripting Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. Learn more about our commitment to Diversity, Equity and Inclusion at Shutterfly DE&I.The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed and may not be applicable to other locations. California: [$138,100 -$197,250] Connecticut, New York, and Rhode Island: [$138,100 - $179,100] Colorado and Washington: [$138,100 - $165,600] Nevada: [$129,800-$179, 100] This position may be eligible for a bonus incentive, health benefits, a 401K program, and other employee perks. More details about our company benefits can be found at https://shutterflyinc.com/benefits/. #SFLYTechnology
Senior Data Scientist	First American	Company Summary Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development. As a market leading title insurance company, powered by the nation's largest and most complete property information, ownership and recorded document database, First American is committed to advancing title automation and removing friction from the real estate closing process. Our modern title decisioning solutions create certainty and speed through data and analytics, delivered to real estate agents, lenders, title agents and homebuyers. Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for seven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com. Job Summary First American'sDigital Title Groupis newly formed to drive a generational paradigm shift in the way real estate is transacted. Gone will be the days of time consuming manual Title search & examination for every property. We are re-architecting how our industry works by leveraging our unique living title data, automated search & examination processes, and data driven risk decisioning. Our approach will remove friction from the real estate closing process, create certainty and speed through data and analytics, and offer a seamless delivery experience to real estate agents, lenders, title agents and homebuyers. This will not only transform our industry, but also directly impact >90% of First Americans $9B+ in annual revenues, a mission and team we will invest hundreds of millions of dollars behind over the next 3-5 years. We are looking for aSenior Data Scientistto build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques. The role will present opportunities to work on large datasets and the ability to use innovative techniques in Artificial Intelligence ranging from various NLP methods, computer vision, and deep learning to enable solutions that will be directly impactful to our customers. ABOUT THE JOB Perform exploratory analysis, construct data pipelines, build machine learning models end-to-end from POC to deployment for large scale production systemsMonitor, maintain, optimize and continuously improve the deployed machine learning solutions during day to day operationsDeploy models through docker containers on AWS/GCP/Azure that serve real time and batch prediction results for various business functionsDesign and implement scalable models with continuous monitoring and feedback collection system to enableautomatic model trainingOptimize model and data performance in terms of reduced computation time and costEstablish MDM system to track model performances and generate alerts through MLFlow, AWS Sagemaker, etc. ABOUT YOU PhD in quantitative field such as Mathematics, Statistics, Computer Science with 2+ years related work experience / MS with 5+ years of related work experience.Extensive experience developing end-to-end machine learning solutions and leading solution diagnosis, including designing & architecting machine learning models that solve business problems & fit into the overall engineering framework, experimentation, model pipeline build, performance optimization, integration and deploymentProficiency in machine learning, NLP & deep learning techniques for tasks involving Named Entity Recognition, document/sentence embeddings, classification. Proficiency with programming languages such as Python & SQL as well as toolkits/frameworks including spaCy, gensim, PyTorch/Tensorflow.Strong experience in building end-to-end data pipelines, model performance monitoring processes and continuous model delivery. Knowledge ofAWS Lambda, AWS Glue is a big plus.Familiarity with MLOps & common MLOps toolkits, e.g. MLflow, Sagemaker.Knowledge and experience working with engineering toolkits that are frequently used with machine learning model deployment. e.g., Git,GitHub Actions,Docker, AWS EC2, AWS ECS, AWS ECR etc.Familiarity with large scale data processing techniques & tools, e.g., multi-threaded computing, GPU computing, distributed computing in Ray, PySpark, etc. Pay Range: $94,800 - $241,800 annually This hiring range is a good faith and reasonable estimate of the salary range of possible compensation at the time of the posting, and is subject to change. The actual compensation offered will be determined by various factors, which may include a candidate’s education, training, experience, and geographic location. #LI-EL1 #LI-REMOTE First American invests in its employees' development and well-being, empowers them to provide superior customer service and encourages them to serve the communities where they live and work. First American is committed to diversity and inclusion. We are an equal opportunity employer. Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.
Data Research Intern	Renaissance	Company Description When you join Renaissance®, you join a global leader in pre-K–12 education technology! Renaissance’s solutions help educators analyze, customize, and plan personalized learning paths for students, allowing time for what matters—creating energizing learning experiences in the classroom. Our fiercely passionate employees and educational partners have helped drive phenomenal student growth, with Renaissance solutions being used in over one-third of US schools and in more than 100 countries worldwide. Every day, we are connected to our mission by exemplifying our values: trust each other, win together, strive for the best, own our actions, and grow and evolve. Job Description We are seeking an intern to join Renaissance’s Psychometrics, Research, Learning Science & Innovation Team. A PRLSI intern will conduct a research project to develop, prototype, and evaluate new algorithms that will shape Renaissance’s future products. The ideal candidate plans to enter a career path in data science, educational research, computer science, or a related field. They have a demonstrated interest in human learning, teaching, cognition, or human-computer interaction. The Learning Sciences & Innovation Team brings innovation to Renaissance’s offerings by integrating knowledge from the learning sciences, instructional design, and data science to derive new insights for educators and to yield superior learning outcomes for all learners. In addition to researching student learning models and providing analytics to support development and alignment of instructional content, the group helps to design cutting-edge solutions which run across all Renaissance products and is responsible for the infrastructure that serves all of Renaissance’s research data needs. Support the PRLSI team’s research and development efforts in one or more projects, by developing, testing, and reporting on algorithmic models. Collaborate with internal stakeholders at Renaissance including Product Owners, Software Engineers, User Experience Researchers, and others. Create reproducible research notebooks and documentation which clearly communicate findings to technical and non-technical audiences alike. Qualifications For this role we’d like to see: Candidate who is actively working toward an undergraduate or graduate degree, and eligible to work in the US. Candidate who can communicate technical knowledge at an audience appropriate level. Statistical programming experience in Python or R, and corresponding common scientific computing libraries. Experience with modern data analysis methodologies: visualization, probabilistic models, machine learning, hypothesis testing, and model evaluation. Bonus points: Enrolled in a graduate-level program in computer science, data science, educational research, human-computer interaction, or related area. Familiarity with databases and query languages such as SQL. Experience conducting a research study. Additional Information All your information will be kept confidential according to EEO guidelines. Salary:  $22 / hour Frequently cited statistics show that some women, minorities, individuals with disabilities, and protected veterans, may only apply to roles if they meet 100% of the qualifications. At Renaissance, we encourage all applications! Roles evolve over time, especially with innovation, and you may be just the person we need into the future. We hope you're open to learning new skills to grow with us. Make our team, your team! Renaissance is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, military or veteran status, marital status, or status of an individual in any group or class protected by applicable federal, state, or local law. At Renaissance our mission is: “To accelerate learning for all children and adults of all ability levels and ethnic and social backgrounds, worldwide.” Inherent in that guiding principle is dedication to serving all identities by recognizing the importance of Diversity, Equity, and Inclusion (DEI) in our organization, our work and our products. Renaissance also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition. Renaissance also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition.
Expert Data Scientist	Impact	The Company: At impact.com our culture is our soul. We are passionate about our people, our technology, and our obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you! impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L'Oréal, Fanatics and Levi’s, visit www.impact.com. Your Role at Impact: At Impact we have an amazing opportunity to leverage machine learning and AI to drive product innovation. You will work on our core and business products to help shape the future of what we build at Impact. You will enjoy working with our rich data set, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. Partnering with internal and external stakeholders, you will develop new products/features and solve business problems by preparing, analyzing, and understanding data to prototype products/features, deliver insight, predict emerging trends, and provide recommendations to optimize results. Leaders in Data Science can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. You have substantial experience with analytical tools and techniques, and bring a solid skill-set in analyzing data and communicating recommendations. You will deepen your skill-set by working with analytical thought leaders across the company. With your leadership and professional expertise, you manage a team of data scientists and analysts, plan project goals and lead the overall strategy for your group. You are a recognized authority in your functional area and develop, organize and launch projects that span engineering and analysis. What You'll Do: Lead project teams focusing on ML product development and product analytics. Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify opportunities for design and to assess improvements for Google products. Oversee team projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges. Collaborate with stakeholders, understand business questions, and formulate quantitative analysis that informs data driven decisions. Build data products (data sets, analysis, models etc.) and tools to drive hypothesis generation and decision making in partnership with engineering and product management teams. Create actionable metrics and design effective experiments. Partner with Product, Engineering and Business leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps. Prioritize work to optimize the impact of the data science team. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Impact data structures and metrics, advocating for changes for product development and customer engagement activity. Communicate and visualize insights to multiple levels of stakeholders with clarity, informing decision-making. Design and create interactive visualization dashboard to facilitate custom analytics, trouble-shooting, data storytelling, and evangelization of ML products to non-technical audiences. Engage broadly with internal and external stakeholders to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. Interact cross-functionally with a wide variety of leaders and teams, and work closely with engineers and product managers to identify opportunities for design and to assess improvements for Impact products. Influence product teams through presentation of data-based recommendations. Contribute to Data Science COE knowledge sharing and documentation. Provide mentorship to junior team members. Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product / program launches Support organizational efforts to screen and recruit members to the data science team Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team Develop and communicate clear requirements and goals for team members Provide timely and actionable feedback on performance to team members What You Have: Master’s Degree in Computer Science, Applied Mathematics, Physics, Operations Research, Statistics or other quantitative Social Science fields. PhD preferred. 7-10 years’ of tech industry work experience as a data analyst, statistician, or data scientist. Expert knowledge of statistical data analysis, such as linear models, multivariate analysis, stochastic models, sampling methods, and experimental design. Well versed in R, Python, and SQL, and big data query language. Proficient with machine learning, AI, data mining and knowledge of advanced statistical modeling. Experience with big data and cloud platforms to deploy large-scale data science solutions. Knowledge of distributed computing framework. Predictive modeling, machine learning, and experimentation or causal inference methods Product Data Science or Growth Analytics, including in depth experience with experimentation Excellent communicator able to articulate business questions and using mathematical techniques to arrive at an answer using available data. Forming partnerships and influencing cross-functional leaders in engineering, product, design, or research Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product. Understanding of digital marketing and statistical algorithms typically used in marketing analytics. Experience in advertising technology and affiliate marketing preferred. Ability to navigate complex business organizations and manage multiple cross-functional stakeholders. Experience in leading large projects preferred. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Free Affiliate & Partnerships Industry Fundamentals Certification by PXA Salary Range: $165,000 - $195,000 per year, plus eligible to receive Restricted Stock Unit (RSU) grant and additional variable annual bonus contingent on Company performance. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits (Perks): Medical, Dental and Vision insurance Unlimited responsible PTO Flexible work hours Parental Leave Catered lunch every Friday, a healthy snack bar, and great coffee to keep you fueled. Flexible spending accounts and 401(k) An employee-led culture team that plans inclusive events- meaning time together and other events to celebrate our many successes! An established company with a cool, high-velocity work ethos, where each person can make a difference! _________ 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
Principal Data Scientist	Hubspot	Principal Data Scientist Revenue Operations Remote - USA We’re seeking an experienced data scientist to join HubSpot’s Revenue Operations Group. This role will focus on supporting internal clients to improve the effectiveness of HubSpot’s revenue operations teams as well as improve the employee experience. Successful candidates will need to work with stakeholders to deeply understand their business problems, creatively design data science based solutions and lead the timely execution of the implementation of the chosen plan. We are especially interested in candidates with domain experience in natural language processing techniques. We believe that this position will be rewarding as there are significant opportunities to expand HubSpot’s internal capabilities and work on greenfield initiatives. You will also be joining a strong and supportive team of data scientists and analytics engineers that highly value intellectual curiosity. Objectives of this Role Build strong relationships with internal stakeholders and develop a deep understanding of their business problems. Identify and mature data sources that will further data science and business analytics at HubSpot Design and build machine learning and statistical models that improve the performance of HubSpot’s revenue operations group Use data to inform key business decisions and communicate findings effectively with senior leadership Keep current with technical and industry developments Role Responsibilities and Duties Query, organize, integrate and clean data from multiple sources including both structured and unstructured data. Expert knowledge on a breadth of machine learning techniques and a thorough understanding of the best approach to use for a given situation. Leading data science initiatives throughout the entire model life cycle to improve the performance of the revenue operations group in partnership with internal stakeholders Mature the data science practice at HubSpot by improving the breadth and depth of internal feature stores and mentoring junior analysts Execute analytical experiments methodically to rigorously test potential solutions and strategies Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Skills and Qualifications Degree in statistics, applied mathematics, economics, computer science or other quantitative discipline 5+ years experience in data science with multiple models deployed in an operational setting. Expert level knowledge in SQL and python programming Proficient using version controls systems (git/github) Ability to effectively communicate data science concepts and results to non-technical audiences. Ability to use data to persuasively present to senior management to inform strategic decision making. Preferred Qualifications Master’s degree in a quantitative discipline 2+ years of experience leading data science initiatives Experience using a deep learning python framework (tensorflow, pytorch, etc) Experience building natural language processing models Cash compensation range: 200,000-240,000 USD AnnuallyThis resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer. The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need assistance or an accommodation due to a disability, please email us at [email protected]. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process. Important COVID-19 Guidance (For candidates applying to roles in the United States): Per HubSpot’s policy all employees who wish to work @office or @flex or to visit an office in-person must be fully-vaccinated. At this time, @remote employees are not required to be vaccinated. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. About HubSpot HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you. You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more. Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.
Staff Data Scientist	Oxio	OXIO is the first NeoTelco. We are building the world’s largest, most accessible, and insightful Telecom network. Our platform empowers anyone to spin up their own carrier from a browser, scaling and supporting you as you scale your network to millions of users. We ensure that users and devices are connected, and stay connected wherever they go: Cross- country, carrier, or cellular technology. We help them pay less for mobile data. This technology is provided through our Carrier-as-a-Service platform: BrandVNO, a fully customizable telecom service. In addition, we enable clients of our service to extract the value from telecom data - enriching their customer experience, business intelligence, and product understanding in the many markets in which we operate. In OXIO the Staff Data Scientist is responsible for creating high-impact Data Science projects. In close coordination with stakeholders, they are responsible for leading a potentially cross-functional team in providing the best solution to a given problem. Hence, their leadership skills have developed since previous roles in data science. The Staff Data Scientist acts as a technical consultant to Product Managers from different departments. With their vast experience and skills in the major Data Science categories, they will become a highly valued asset to any project. The Staff data scientist will be key in prioritizing and managing these (greenfield) projects, growing the DS team, and supporting the growth and development of the more junior data scientists in the team. The team you’ll be part of The OXIO data science team extracts value from the vast amounts of data our network / telecom services collect. The team works closely with the data engineering and BI teams to obtain the data in the right format and frequency. The team interacts with business owners to deliver data products in the way it supports OXIO internal and external stakeholders. In the words of one of our Data Scientists Golrokh: “Being a data scientist in OXIO gives you the opportunity to drive value from the ever growing telecom data and make a direct impact on the final products of the company. You'll get to work on the unique projects that bring out your creativity and make you think outside the box. Every day you will learn something new, you’ll use the most recent and state of the art tools, and last but not least you get to work with dedicated people that will never stop helping you to grow.” A day in the life As the staff data scientist in the OXIO data science team you will lead and work on 3 key Data science product groups: - Telecom customer experience - Including A/B experimentation, churn prediction, personalized plan recommendations, retention feature importance - BrandIQ - Our proprietary data product that allows clients to extract value from telecom data. Examples include interest modeling, behavioral modeling, competitive intelligence - Network anomaly detection - As our services cross carriers and cellular technology, it is key to detect anomalies in live network and data feed in order to act upon issues before they impact our end-users These projects are supported by the collection of several OXIO data sources, including: - Geo location data - Either from cellular GPS or network access point locations - Internet traffic data - Header data of network flows, including IPs, hostnames, etc. - Telecom Consumption data - often referred to as CDRs - data / voice / SMS consumption - Mobile Network data - Sales / account data The data science team uses different programming languages and frameworks, including SQL, Python, Airflow, Sagemaker and Snowflake. Qualifications - Bachelor’s degree is required, with preference given to Quantitative degrees (Mathematics, Computer Sciences, Engineering, etc.) - 7+ years’ of experience with Python, Shell Scripting, SQL, R, Hadoop, Spark, or Pig - Demonstrable experience in shipping DS powered solutions from strategy into production - Demonstrable experience in deploying DS powered solutions in streaming applications - Experience with working in a fast growing startup environment, having demonstrably contributed the growth of a team - Ability and technical aptitude to create observations and build models to predict and recommend business outcomes - Analyzing complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques - Demonstrable experience in managing a team of data scientists / analysts - Preferred: Demonstrable experience in Telecommunications and/or adtech - Preferred: Master’s degree, preference given to a quantitative degree (Mathematics, Engineering, Computer Sciences, etc.) Our culture and team At OXIO, we put our people first. Some of our core values and approaches include: - Creating a fun environment that empowers you - Thinking about how to do things better, not how its been done - Show up for your team, be early, don’t whine or complain without a solution (Pete Carrol) - Everything has a DRI (Directly Responsible Individual) – ownership and accountability matter - OKR’s at the bottom should reflect OKR’s at the top - Don’t get stressed about the future not happening fast enough: you alone can help change it - You have the power to change one of the most important and dominant industries in modern times - Management must lead by example with work ethic, empathy, and high expectations - Our success is built on our unique and disruptive products, provided not only to our enterprise customers, but also to their own customer base - We are a diverse and inclusive organisation that values diverse points of view and opinions. We believe in empowering individuals, but also realize that team collaboration drives our business forward - OXIO has a strong technology centric culture, starting with our CEO who has led 2 startups in the space into successful exits. - Our organization is distributed with Headquarters in New York City and offices in Montreal, Mexico City and Sao Paulo - Being global and distributed, English fluency ensures we can all communicate, but we place importance on understanding and embracing cultural diversity. Benefits - Be a sub-100 team member at a fast growing start-up - Have a big impact relative to a small role in larger tech organization - Mentorship and improvement opportunities - Career path and growth in individual contributor (IC) tracks as well as management tracks - Competitive healthcare benefits according to country - Competitive compensation and a stock option incentive program to ensure long term alignment within the company - International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup
Data Scientist	John Deere	There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW. John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability. Primary Location: United States (US) - Illinois - Moline Function: Data & Analytics (CA) Title: Data Scientist - REMOTE - 96653 Onsite/Remote: Remote Position This position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change. Visa sponsorship is NOT available for this position. Your Responsibilities As a Data Scientist for Deere & Company World Headquarters located in Moline, IL , you will execute data science projects which drive aftermarket growth and an improved customer experience over the lifetime. A primary focus of this role will be to improve sales and demand forecasts and stocking recommendations, ensuring service parts are available at a dealership when customers need them. You will follow the Aftermarket Analytics Delivery Process to: Collaborate with business stakeholders and analytics team members while taking ownership of complex projects which convert abstract concepts into data science solutions Query and manipulate complex datasets to prepare data for analysis Develop data products such as statistical analyses, dashboards, and models which deliver actionable value to stakeholders Lead code review, validation, and design review activities to ensure and demonstrate high-quality output Participate in strategic roadmap planning and assist in defining project proposals and scope Communicate results at multiple levels of technical detail to various stakeholders What Skills You Need 2+ years of experience with a statistical programming language (Python, R, or similar) 2+ years of experience of advanced SQL programming 2+ years of experience executing data science projects involving advanced techniques (such as statistical analysis, predictive modeling, forecasting, data visualization, and machine learning) from beginning to end Skill in interpersonal communications and ability to communicate complex topics to non-technical audiences What Makes You Stand Out Experience using Spark through python and/or Databricks Experience with sales and demand forecasting using time series and/or other regression approaches Knowledge of supply chain concepts, inventory optimization, and constraints Knowledge of dealers, products, customers, markets, and companies in the heavy equipment industry Advanced understanding of dealer channel aftermarket processes, digital solutions, and metrics MS degree in related discipline Education Ideally you will have a degree or equivalent related work experience in the following: BS Degree discipline or equivalent experience - University Degree (4 years or equivalent) What You'll Get At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: Flexible work arrangements Highly competitive base pay and performance bonuses Savings & Retirement benefits (401K and Defined Benefit Pension) Healthcare benefits with a generous company contribution in the Health Savings Account Adoption assistance Employee Assistance Programs Tuition assistance Fitness subsidies and on-site gyms at specific Deere locations Charitable contribution match Employee Purchase Plan & numerous discount programs for personal use Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control. ACA Section 1557 Nondiscrimination Notice The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.
Senior Product Data Scientist Search	Square	Company Description It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career. Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices. Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are. Job Description We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day. This role is part of our Cash App’s Product Data science org and will be deeply embedded within our Search & Discovery team. You will use data science to better understand our customers and offer them delightful experiences to find and discover people and things quickly and with trust - we aim to grow and strengthen the connections between people and businesses across the globe. Through your work, you will empower Cash App to personalize customers’ search and discovery experiences with DS/ML, to better understand customers’ journeys, and help identify and execute on new opportunities for product improvement. You will test and employ a variety of analytical and modeling techniques on our comprehensive data and scale your solution to production by partnering closely with machine learning, product, design, and engineering teams. Qualifications You will: Partner directly with a Cash App product team, working closely with product managers, engineers, designers, and machine learning engineersAnalyze large datasets using SQL and python to surface meaningful & actionable insights/opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis Additional Information You have: A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role ORA graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant roleAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with scripting and data analysis programming languages, preferably Python Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience with state of the art machine learning techniques such as regression, classification, recommendation system, and causal inferenceExperience with ElasticSearchExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building Technologies we use and teach: SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker 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, 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. Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion 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.
Senior Data Scientist Square Go	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. Whether it’s the food truck that’s establishing a brick & mortar restaurant, the former sole proprietor adding her first employees, or the entrepreneur expanding from one location to ten, as our sellers scale, so do our solutions. We all grow together. Job Description Square Go is a new consumer marketplace and booking management app for businesses using Square Appointments. We are looking to put some of the superpowers that we have built for businesses into the hands of their customers, while helping to grow those businesses by bringing in new customers discovering their next barber, nail salon, or other service provider in our marketplace. You will be the team’s first dedicated data scientist that closely partners with 4–5 software and ML engineers, moving fast and experimentally (e.g. think quarterly planning instead of annual planning), and putting on (and swapping) multiple hats. You will: Partner with the Square Go team to make data-driven decisions that have significant impact;Define the data vision and execution for general buyer-facing properties at Square;Apply a diverse set of techniques including statistical analysis, machine learning (ML), analytics, and data engineering to generate strategic insights;Collaborate with ML engineers on interesting ML initiatives ranging from categorization to search/recommendations;Communicate analysis and recommendations to high-level business partners in verbal, visual, and written forms;Develop resources and collaboration processes to empower data access and self-service so that your expertise can be leveraged where it is most impactful. Qualifications You have: 4+ years of data science experience or equivalent;Fluency with Python and SQL;Solid statistical foundations (e.g. A/B testing);Familiarity with standard machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation) and curiosity to learn more modern techniques (e.g. NLP) as required;Familiarity with data engineering best practices;Experience leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;Excellent verbal and written communication. Nice to have: M.S or Ph.D. in a quantitative field (e.g. mathematics, statistics, or similar STEM field);Experience working on online marketplace products / mass market consumer-facing apps. 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. 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. Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion 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.
Head Of Network Science And Behavioral Modeling	Square	Company Description It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career. Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We've been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices. Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees' creativity and productivity wherever they are. Check out our locations, benefits and more at cash.app/careers. Job Description Are you bored optimizing ads? Do you really want to change the world rather than just say you are? Do you want to be part of the business and have direct influence over business strategies rather than being a “just another scientist”? If so, we have the role for you. We are hiring for the Head of Network Science and Behavioral Modeling at Cash App. Understanding how network effects enable customer engagement and retention is a strategic priority for Cash. In this position you will have complete ownership and responsibility for building, maintaining and analyzing Cash App’s customer graph for purposes of community finding, business segmentation, quantifying network effect / virality and overcoming customer “cold start”. Your role is specifically responsible for helping management locate sub-networks and quantify the social influences on these sub-networks within both the Cash App and broader Block ecosystem. The output of your work will be used directly to build products, forecast business results and measure the impact of marketing campaigns. Additionally, you will manage other data scientists in the development, implementation and maintenance of a suite of behavioral models to predict customer behavior, specifically churn, winback, product attach and the movement of funds in and out of the cash app ecosystem. The results of these models will be used to drive top-line business decisions, communicate strategies to Wall St. and influence investment decisioning. It is of utmost importance that the modeling specifications are interpretable by a business audience. You will report directly to the Head of Quantitative Finance and Strategy and you will present your results to an Executive Audience on a regular basis. Understanding our networks from a quantitative standpoint is a strategic priority for both Cash App Executives as well as the Board of Directors. Because of the high-profile nature of this role we are looking for someone who not only specializes in graph science but also can present to executive management and has the ability to manage a team of data scientists focused on behavioral model development. Qualifications You have: PhD in a quantitative field such as Statistics, Computer Science, Physics or a PhD in Social Sciences with a strong quantitative background5+ years of experience in network science specifically related to community finding (modularity maximization, spectral clustering, hierarchical, etc.) and network effect measurement / scoring 5+ years of behavioral modeling using both parametric and non-parametric techniques (classification / time series)Knowledge of Python, Graph Databases, Docker, Snowflake, Databricks and PrefectUnderstanding of how social influences affect customer behavior and spending patterns Nice to have: Understanding of Cash App business model and how network effects, virality and the macroeconomic environment influence our businessExperience leading a team and presenting results to executives up to and including CEO Technologies we use and teach: Python (NetworkX, NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)MySQL, Snowflake, GCP/AWS and Tableau 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 $202,500 - USD $247,500 Zone B: USD $192,400 - USD $235,200 Zone C: USD $182,300 - USD $222,800 Zone D: USD $172,200 - USD $210,400 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.

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