Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade.
Amazon's Consumer Analytics team has an opening for a causal economist to join our efforts to build the next generation of analytics systems at Amazon. You'll work closely with machine learning scientists, finance partners, and senior leaders to make data-driven, principled decisions about marketing and program investments. You will apply econometric theory to build models and prototype scalable implementations in partnership with technical teams, using Amazon's world class data systems.
You should be able to formalize problem definitions from ambiguous requirements, determine if existing academic research can be extended, and propose solutions to non-standard problems. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Ideal candidate profile
· PhD in Economics or related field
· 2+ years of experience in industry, consulting, government or academic research.
· Programming in one or more statistics-oriented languages (Stata, Python, R)
· Strong background in statistics methodology, econometric theory, and applications to business problems