Economics Analyst

Principal Economist, Economic Decision Science
Job ID: 3126628 | Amazon EU SARL (UK Branch)
Amazon strives to be Earth's most customer‑centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated, and friendly work environment.
Economic Decision Science (EDS) is Amazon’s decision intelligence team for EU Stores. We are a team of economists, engineers, and PMs who apply economic modeling, experimentation, and AI/ML to Amazon’s hardest questions.
Where will Amazon's growth come from in the next year? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today.
EDS is hiring a Principal Economist to answer these questions for our European business. The role will require experience in technical methods at the frontier of economics to develop formal models that understand the past and present, predict the future, and identify relevant risks and opportunities. 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 with rigorous science to solve business issues, and further delight customers.
The role is a good fit for candidates with research experience in macroeconometrics, empirical macroeconomics, international macroeconomics, time‑series econometrics, forecasting, financial econometrics, empirical finance, and the use of micro and panel data to improve and validate traditional aggregate models.
PhD in Economics or closely related field.
Track record of publications that have advanced the state‑of‑the‑art.
Experience in industry, consulting, government, or academic research.
Fluency in at least one statistical software package such as R, Stata, Matlab, or SAS.
Strong background in econometrics, statistics methodology, machine learning, applications to business problems, and/or big data.
Experience with programming languages such as Python, Java, C++, and SQL, and working in a Unix/Linux environment is a plus.
Effective verbal and written communication
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