Where will Amazon's growth come from in the next year? What about over the next five? What are the drivers and factors of such growth? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Forecasting team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering these questions using quantitative and statistical methods. We build accurate predictive models and deploy automated software solutions to provide forecasting insights to business leaders at the most senior levels throughout the company.

Economists in the Forecasting, Macroeconomics & Finance field document, interpret and forecast Amazon business dynamics. This position is well suited for economists adept at combining times-series statistical methods with strong economic analysis and intuition. It 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. 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.