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Senior Data Scientist - Algorithm Experimentation

  • Los Gatos, California
  • Science and Analytics


Personalization algorithms at Netflix deliver recommendations to over 100 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 Science & Algorithms, 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

Responsibilities

  • Lead the design, analysis, and interpretation of experiments to improve personalization algorithms at Netflix.
  • Drive innovation by exploring new experimentation methodologies and statistical techniques that could sharpen or speed up our product decision-making processes.
  • Proactively perform data exploration to understand user behavior and identify opportunities for improving our recommendation algorithms. Present your research and insights to all levels of the company.

Qualifications:

  • Advanced degree in Statistics, Econometrics, 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 - ideally utilized in A/B testing
  • Experience with distributed analytic processing technologies (Hadoop, Hive, Pig, Presto, MapReduce, 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](http://www.slideshare.net/reed2001/culture-1798664)
  • 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.