Senior Data Scientist - Ads Supply & Decisioning

About Netflix

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

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

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 Senior Data Scientist - Ads Supply & Decisioning, 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 science
• Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
• Proactively perform data exploration on engagement behaviors to discover future opportunities
• Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale
• Deliver well-documented datasets, tools, and reports to key technical and business partners
• Identify, compute, and validate the appropriate metrics to measure success in a product area
• Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
• Present your research and insights to all levels of the company

We Are Looking For

• Advanced degree in Statistics, Machine Learning, Economics, Operations Research, Mathematics, Physics, or related quantitative field
• 5+ years of relevant experience with large-scale data
• Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings
• Strong 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 skills
• Strong Quantitative Programming skills in Python or R
• Ability to work independently and drive your own projects
• Ability 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 culture
• Plus: Experience in building real-world machine learning models with demonstrated impact
• Plus: Experience creating data products and dashboards, such as Tableau
• Plus: Experience in building causal inference solutions
• Plus: Familiarity with software engineering practice and working with APIs

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 details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Key skills/competency

• Statistical Modeling
• Machine Learning
• Optimization Techniques
• SQL
• Python
• R Programming
• Experimentation Design
• Causal Inference
• Data Products
• Product Analytics