Senior Data Scientist - Recommendation Algorithms, Experimentation and Analytics

Netflix | Los Gatos, CA

Posted Date 7/17/2018
Description

Personalization algorithms at Netflix deliver recommendations to over 125 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 Science & Analytics, you will be partnering with product and engineering teams to optimize personalization algorithms used to suggest movies and TV shows 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 Interleaving


To learn more about our research and analytics work, you can visit our research page here.


Responsibilities

  • Lead 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, Mathematics, Physics, or a related quantitative field
  • 5+ years relevant experience with a proven track record of leveraging massive amounts of data to drive product innovation
  • Deep statistical skills utilized in A/B testing, analyzing observational data, and modeling
  • Experience with distributed analytic processing technologies (Hive, Pig, Presto, Spark)
  • Strong programming skills (ideally in Python or R)
  • Exceptional interpersonal and communication skills
  • Deep product sense
  • Self-starter
  • A fan of Netflix is a strong plus

A few more things to know

  • We expect a lot. Our culture is unique and we live by our values, so it's worth learning more about Netflix Culture
  • We 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.

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AddressLos Gatos, CA