PhD in Economics, Quantitative Marketing, Finance, or closely related field.
- Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
- Strong background in statistics methodology, applications to business problems, and/or big data.
- Ability to work in a fast-paced business environment.
- Strong research track record.
- Effective verbal and written communications skills with both economists and non-economist audiences.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
USA, CA, LOS ANGELES - 129,200.00 - 174,700.00 USD annually
USA, CA, SAN FRANCISCO - 148,500.00 - 201,000.00 USD annually
USA, CA, SANTA CLARA - 148,500.00 - 201,000.00 USD annually
USA, CA, Sunnyvale - 148,500.00 - 201,000.00 USD annually
USA, MA, BOSTON - 129,200.00 - 174,700.00 USD annually
USA, NY, BROOKLYN - 142,100.00 - 192,200.00 USD annua
Additional Information
Economists in the Forecasting, Macroeconomics & Finance field document, interpret and forecast Amazon business dynamics. This track is well suited for economists adept at combining times-series statistical methods with strong economic analysis and intuition. This track could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; international macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models.
Economists at Amazon are expected to work directly with our senior management and scientists from other fields on key business problems faced across Amazon, including retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. The Forecasting, Macroeconomics & Finance field utilizes methods at the frontier of economics to develop formal models to understand the past and the present, predict the future, and identify relevant risks and opportunities. For example, we analyze the internal and external drivers of growth and profitability and how these drivers interact with the customer experience in the short, medium and long-term. We build econometric models of dynamic systems, using our world class data tools, formalizing problems using rigorous science to solve business issues and further delight customers.
Amazon.com · Seattle, WA