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.

Great entertainment thrills and inspires. Around the world, we connect hundreds of millions of people with the best television, films, live events, games, and more. Our product is at the heart of making these connections. To build best-in-class product experiences, we develop thoughtful long-term strategies, bring the best talent together, and let them creatively problem-solve with a strong and unique work culture.

Almost three years ago, we launched a new ad-supported tier allowing our members to experience Netflix at a lower price. Since then, we've kept on building on our goal of providing more choices for consumers and a premium brand experience for advertisers. In building out this offering, it is critical to ensure that the member experience remains central to how we innovate.

We are seeking a Senior Data Scientist with strong causal inference, experimentation, and, ideally, historical Ad experience to improve our understanding of, elevate, and evolve the ad offerings for our members. In this role, you will drive a foundational understanding of how members interact with our Ads service, build capabilities to optimize the ads experience for members, and support experimentation to bring these experiences to life. Some questions you might answer include "How do we best show ads to our members?", "How do we identify, measure, and resolve where ads are giving members a bad experience?" and "When, where, and how many ads should we be showing our members?"

In this role, you will:

• Evolve our Ads experience to shape how our members experience Netflix.
• Develop frameworks that help us decide trade-offs and other critical decisions to optimize our member experiences.
• Establish strong partnerships with stakeholders to shape the intersection of Ads with our core product, leveraging methods such as experimentation and metric development.
• Facilitate ownership and accountability by ensuring that the team produces trustworthy and high-quality outputs that influence the decisions and direction of Ads at Netflix.
• Be flexible to changing circumstances - The Netflix Ads offering is evolving rapidly, and this role will help shape that evolution.

** To be successful in this role, you have:**

• Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field.
• 5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact.
• Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings.
• Strong Quantitative Programming skills in a language such as Python.
• Exceptional oral and written communication skills. You have a track record of being a trusted partner to stakeholders with diverse backgrounds and roles.
• You've successfully operated in a company where collaboration and integration with other teams across multiple disciplines is essential to your team's success.
• Demonstrated ability to communicate and drive product change across various stakeholders, particularly in complex or ambiguous problem spaces.
• Ability to work independently and drive your own projects.
• Embodies Netflix values while bringing a new perspective to continue to improve our culture.

Our 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 $150,000 - $750,000 .

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.