Senior Data Scientist - Recommendation Algorithms, Experimentation & Product Insights


: $101,465.00 - $159,640.00 /year *

Employment Type

: Full-Time


: Information Technology

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Personalization algorithms at Netflix deliver recommendations to over 150 million subscribers worldwide. To continually improve and innovate on our product, we maintain a relentless focus on empirical analysis and experimentation. As a Data Scientist in Algorithms Data Science & Engineering, you will be partnering with product and engineering teams to evaluate the performance of and optimize personalization algorithms used to suggest movies, TV shows, artwork, and trailers to Netflix members. This is a high-impact role in which you will have direct influence on how product decisions related to recommendations are made.For a flavor of the work that is done on the team, check out our blog post:Innovating Faster on Personalization Algorithms at Netflix Using InterleavingTo learn more about our research and analytics work, you can visit our research page.ResponsibilitiesLead the design, analysis, and interpretation of experiments that shape decision-making around personalization algorithms at Netflix.Proactively perform data exploration to understand user behavior and identify opportunities for improving our recommendation algorithms.Drive innovation by developing new experimentation methodologies, statistical techniques, and causal-inference approaches that could sharpen our product decision-making process.Research new measurements and frameworks to enable understanding of emergent phenomena, e.g. the impact of off-product behavior on Netflix viewing.Present your research and insights to all levels of the company.Qualifications:Advanced degree in Statistics, Econometrics, Computer Science, Physics, or a related quantitative fieldProven track record of leveraging massive amounts of data to drive product innovationDeep statistical skills utilized in A/B testing, analyzing observational data, and modelingExperience with distributed analytic processing technologies (Spark, Presto, Hive)Strong programming skills in Python (or R)Exceptional interpersonal and communication skillsDeep product senseSelf-starterA fan of Netflix is a strong plusA few more things to knowWe expect a lot. Our culture is unique and we live by our values, so it's worth learning more about Netflix CultureWe are a tight and driven team with big goals, so we seek individuals who are truly passionate about their work. We also support a balanced lifestyle.Los Gatos, CaliforniaStreaming Data Science and EngineeringFull-time * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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