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
- 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.
- 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
- 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.