Possible additional locations for this role include Austin TX, Arlington VA and New York City.
Day 1 opportunity with high growth trajectory.
Amazon is looking for an experienced Economist/Scientist with deep statistics and machine learning experience. We aim to create insights and predictive models for senior Amazon leaders in the area of industrial development and capital formation.
We are particularly interested in candidates with a research background in one of: applied microeconomics, data science, causal inference, quantitative analysis or some combination of these fields.
We are looking for outstanding economists who are able to provide practical structure for complex business questions, hone those complex problems in to specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on unstructured data, design pilots and measure their impact, and transform successful prototypes into services. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.
PhD in Economics or highly related field (Statistics, Marketing, Finance)
10+ years of experience in industry, consulting, government, or academic research
Experience with big data and machine learning or data science
Strong statistical coding in R, Python, or Stata
Strong research track record, drives results
Thinks strategically, but stays on top of tactical execution
Effective verbal and written communications skills
Exhibits business judgment
Has relentlessly high standards
Dives deep, thinks big and has convictions
Experience with applying science to measure customer engagement and behavior from business activities
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.