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Senior Data Scientist - Advertising Science
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 earn 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 a research agenda and enhancing measurement of acquisition strategies. You will enhance Netflix growth by designing experiments to evaluate changes in our advertising spend approaches, using rigorous causal modeling to analyze mechanisms and predict outcomes to advance insights on strategies to further drive acquisition, 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 testing 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
• Nuanced scientific thinking acquired applying economic and statistical methods in impactful settings; 4+ years in a business setting preferred, but exceptional candidates could be considered
• Passion for applying advanced methods, and innovating approaches at the intersection of economics, statistics, and computer science
• High-energy self-starter with a passion for your work, attention to detail, and a positive attitude for applied research
• Exceptional interpersonal and communication skills coupled with strong business acumen. Must be able to translate business objectives into actionable analyses, and analytic results into actionable business and product recommendations.
• Hunger to continue learning and developing as a scientist. Steadfast commitment to collaboration and building the team, including partnering on research, producing literate and reproducible research, contributing ideas, establishing best practices, following trends, and engaging in current methodological discussions
• Experience and interest in entertainment, computational advertising, and tv a plus!
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.