Research economists work closely with Corporate Vice President, Chief Economist, Michael Schwarz, and the team of economists and data scientists on high-impact projects in a supportive research environment. Topic areas include advertising effectiveness, media economics, market design, electricity, cloud marketplaces, search auctions, optimal pricing contracts, retail product competition, scalable demand estimation, structural demand estimation, machine learning for both prediction and causal inference, optimal capacity investment, economics of subscriptions, and other applied theory. Successful candidates should drive their own agenda as well as work with the broader team. Candidates with the following backgrounds have historically done well in this environment: empirical IO, applied micro, econometrics, and quantitative marketing. Master's Degree in relevant field AND 1+ year(s) related economic research experience OR Bachelor's Degree in relevant field AND 2+ years related economic research experience OR equivalent experience. Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 5+ years related research experience OR equivalent experience. Proficiency in R or Python, including common tools for data manipulation (e.g., dplyr, pandas, polars), graphing, and causal inference Knowledge of standard econometric methods in "small data" (e.g., difference in differences, matching, synthetic control) and "big data" setting (e.g., double machine learning) Experience publishing academic papers as a lead author or essential contributor. Experience participating in a top conference in relevant research domain. Experience with Spark or other tools for processing big data Experience developing custom empirical models and methods for pricing and/or market design