Senior Data Scientist (L5) - Ads Supply & Decisioning

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0 -1 space.We are seeking Sr Data Scientists to work on various exciting projects across ad optimization, including audience & identity, forecasting, core ad ranking, auction/marketplace design, pricing, and yield optimization.As a Data Scientist, you will partner with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our users. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have direct influence on how product decisions are made.In this role, you will:Apply statistical modeling, machine learning, and optimization techniques to business problems at the intersection of product and data scienceAutonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocationProactively perform data exploration on engagement behaviors to discover future opportunitiesCollaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scaleDeliver well-documented datasets, tools, and reports to key technical and business partnersIdentify, compute, and validate the appropriate metrics to measure success in a product areaCultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.Present your research and insights to all levels of the companyWe are looking for:Advanced degree in Statistics, Machine Learning, Economics, Operations Research, Mathematics, Physics, or related quantitative field5+ years of relevant experience with large-scale data Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settingsStrong product knowledge and intuition - ideally utilized in consumer/user interface settings or internally serving technical audiences such as engineers.Demonstrated ability to communicate and drive product change across a variety of stakeholders Strong SQL skillsStrong Quantitative Programming skills in Python or RAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels. Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Experience in building real-world machine learning models with demonstrated impactPlus: Experience creating data products and dashboards, such as TableauPlus: Experience in building causal inference solutionsPlus: Familiarity with software engineering practice and working with APIsOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail abou