Netflix

Position Title/Short Description

Full Text of JOE Listing:

The Netflix Science & Algorithms team is looking for exceptional economists for roles leading causal inference and structural modeling across several teams. As an economist and researcher at Netflix, you will have the opportunity to impact Netflix subscriber growth by designing and executing on an economics research agenda (latent utility, demand estimation, two-sided markets) and enhancing measurement approaches. You will enhance Netflix growth by designing experiments to evaluate changes in our advertising spend approaches, developing economics approaches to causal modeling, and by advancing measurement and methodological approaches for Netflix and computational advertising. You will also have opportunity to help advance A/B testing infrastructure and streaming experience.

You will have the opportunity to impact the business in a meaningful way, working through interesting problems in an environment that encourages freedom, innovation, and risk taking. Your co-workers will be driven to find and solve hard problems and will work with you to foster high performance. For a more in-depth look into our freedom and responsibility culture, check out our culture deck.

Qualifications:
- PhD degree in Economics, Statistics, or related quantitative field
- Candidates with 2+ years of experience preferred; all exceptional candidates will be considered
- Passion for applying and innovating advanced methods at the intersection of economics, statistics, and computer science/machine learning
- High-energy self-starter with attention to detail and a passion for applied research
- Strong communication skills coupled with business acumen. Must be able to translate business objectives into actionable analyses, and analytic results into business and product recommendations.
- Hunger to continue learning and developing as a scientist. Steadfast commitment to collaboration and building the team: produce literate and reproducible research, contribute ideas, establish best practices, follow trends, and engage in current methodological discussions
- Experience and interest in TV, entertainment, computational advertising, and machine learning a plus!

Technical Skills:
- Strong coding ability. Expert in R, Python (scientific libraries), or other scientific computing language (Matlab/C++/Java). Proficient in SQL and Unix/BASH
- Expert in economic and statistical methods, including causal inference using experimentation and structural models, with an additional area of expertise (applied IO, econometrics, auction theory, ML, Bayesian, etc.)
- Familiarity with distributed databases and query languages (Hive/Pig)

We are actively hiring and will be at the January 2017 ASSA conference in Chicago.