Data Scientist 5- Evolving Core Metrics

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.

The Member Applied Research Data Science and Engineering team drives foundational research to advance the measurement and understanding of member value. We guide optimal product decision-making while balancing trade-offs, and connect on-the-ground needs from individual teams to holistic priorities and methods shared across the Netflix ecosystem.

We are seeking a Senior Data Scientist with strong experience in observational causal inference, experimentation, and meta-analysis to drive research for Netflix’s core product metrics.  In this role, you will push forward foundational research to value member engagement signals, calibrate product tradeoffs, and ensure that our measurement strategies keep up with a quickly expanding content portfolio.  You’ll work in a highly collaborative and cross-domain environment with other data scientists, research scientists, and business teams to influence and improve our product decision-making.

In this role, you will:

• Directly lead the research and development of our core member metrics and decision frameworks, particularly as our member base and content offerings expand.

• Establish strong relationships with product, engineering, and data science partners to facilitate decision making under complex tradeoffs.

• Connect and incubate new research advancements, alongside ML and research science partners across domains, to uplevel proxy metric solutions that balance performance with interpretability.

• Advance our meta-analysis capabilities and collaborate on causal inference tooling.

To be successful in this role, you have:

• Advanced degree in Statistics, Economics, Computer Science or related quantitative field.

• 5+ years of relevant experience, focused on building and delivering real-world causal and/or machine learning models with demonstrated impact.

• Strong statistical knowledge and intuition across a range of methods, ideally focused on  experimentation or other product analytics settings.

• Strong quantitative programming skills (Python preferred), including experience with production systems.

• Exceptional oral and written communication skills, with the ability to move between technical writing and high-level summaries.

• Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.

• Strong product sense to balance between addressing specific stakeholder  needs and investing in scalable solutions to serve general use cases. 

• Ability to work independently and drive your own projects.

• Embody Netflix values while bringing a new perspective to continue to improve our culture.

Generally, 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 $372,000.00 - $600,000.00. This compensation range will vary based on location.

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.

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.