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.
- PhD in economics or equivalent
- Knowledge of data analysis languages (e.g. R Stata Python etc.) or other statistical software - Experience in a postdoctoral position consulting position government position or academic research - Experience with SQL
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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