As a Data Scientist (L4) in the Growth and Membership team at Netflix, you will leverage data to identify opportunities and influence product decisions within the payments ecosystem. You will collaborate with various teams (payments, product, engineering, etc.) to improve existing ML systems and evaluate their impact.  Responsibilities include employing experimentation and analysis techniques to solve business problems, developing and validating success metrics, performing data exploration to inform product directions, prioritizing tasks, and contributing to the advancement of experimentation methodology.  Strong statistical skills, data manipulation abilities (SQL, Python/R), and exceptional communication are essential.

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<div>Netflix is one of the world's leading entertainment services, with 283 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.Data is at the heart of our payment strategy and innovation at Netflix. In the Payments Data Science &amp; Engineering team, we provide guidance to the business not only through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. These deeply collaborative, innovative efforts unlock millions of dollars of revenue impact each year.As a Data Scientist, you will join a team of other stunning Data Scientists, Analytics Engineers, Machine Learning Scientists, and Research Engineers. You will use data to identify opportunities and help shape product decisions. You will collaborate with the payments team and ML scientists and engineers to identify opportunities in our existing production ML systems, suggest improvements, and evaluate their impact.<h2>In this role, you will:</h2><ul><li>Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problems.</li><li>Be a strategic thought partner with payments, product, engineering, analysts, data engineering etc.</li><li>Influence decision-making through data-driven insights and recommendations</li><li>Proactively identify and perform data exploration to inform future product directions</li><li>Prioritize competing demands toward the most impactful items</li><li>Develop and validate the appropriate metrics to measure success in a given product area</li><li>Contribute to the excellence of experimentation methodology within the Netflix data science community&nbsp;</li><li>Live while bringing a new perspective to continue improving our culture.</li></ul><h2>To be successful in this role, you have:</h2><ul><li>Strong statistical skills such as regression and A/B testing experimentation</li><li>Strong data manipulation and quantitative programming skills in SQL and Python or R</li><li>Exceptional communication with technical and non-technical audiences</li><li>Willingness to learn and rapidly absorb business context in the complex payments ecosystem</li><li>Comfort with ambiguity; ability to thrive with minimal oversight and process</li></ul><ul><li>An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field</li><li>Experience with algorithms as a product (e.g. recommendation systems, payment fraud detection) a bonus</li><li>Causal inference and offline model performance evaluation methodologies a bonus</li></ul>A few more things to know:&nbsp; Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.&nbsp; 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 $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.&nbsp; 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.&nbsp; Learn more here. 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.</div>

Data Scientist (L4) - Growth and Membership