Senior Data Scientist - Algorithm Experimentation and Causal Inference
Netflix, Los Gatos, California
Leading subscription service for watching TV episodes and movies
- 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.
- Advanced degree in Statistics, Econometrics, Computer Science, Physics, or a related quantitative field
- 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 (Spark, Presto, Hive)
- Strong programming skills in Python (or R)
- Exceptional interpersonal and communication skills
- Deep product sense
- 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.
Netflix is the world’s leading Internet television network with over 100 million members in over 190 countries enjoying more than 125 million hours of TV shows and movies per day, including original series, documentaries and feature films. Members can watch as much as they want, anytime, anywhere, on nearly any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
Want to learn more about Netflix? Visit Netflix's website.
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