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Senior Research Scientist - Economics
Netflix
Los Gatos, CA, United States
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Netflix is revolutionizing entertainment. We deliver over a billion hours of movies and TV shows per month to more than 80 million members globally. Our data-driven culture allows us to continuously innovate and provide the best experience for our members. We are at the forefront of using advanced mathematical models and algorithms on big data to personalize the experience that every member has, and our scientists and engineers are constantly looking for new ways to improve the state of the art. Netflix data science is a unique combination of big data, algorithms, and entertainment: where else do you get to work on big data and win fourteen Emmys (four for technical achievement), two Golden Globes, and back-to-back Oscar nominations!
The Advertising Science & Algorithms team leads causal measurement of acquisition effectiveness and economic modeling of behaviors to expand business impact in the company’s biggest acquisition decisions. In partnership with marketing and finance organizations, the team has revolutionized how Netflix optimizes acquisition. At the core, the team maintains a relentless focus on causal inference and robust modeling in order to improve the experience for new and potential members. The team is small and needs to expand to further advance scientific rigor and accelerate its industry-leading work.
In this role, 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.
Responsibilities
• Design and analyze experiments of acquisition strategies
• Develop and apply causal methodology to analyze behavior in cases where A/B tests are not possible
• Build statistical models of behavioral mechanisms to uncover insights of advertising effectiveness and acquisition causes
• Partner closely with engineers to develop code to scale causal and economic modeling approaches
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)
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 culture, check out our culture deck.