Job ID: 2833070 | Amazon EU SARL (UK Branch)
We are looking for an Economist to work on exciting and challenging business problems related to Amazon Retail's worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of an interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon's vast product assortment globally.
If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.
Key job responsibilitiesWork on a challenging problem that has the potential to significantly impact Amazon's business positionDevelop econometric models and experiments to measure the customer and financial impact of Amazon's product assortmentCollaborate with other scientists at Amazon to deliver measurable progress and changeInfluence business leaders based on empirical findingsBASIC QUALIFICATIONSPhD in Economics or Finance is a mustPost PhD experience in private sector, academia, consulting or governmentExperience with programmatic scripting languages for data analysis (e.g. Python, Stata, R)Experience applying empirical techniques in reduced-form causal analysis and/or machine learningAbility to distil and communicate relevant scientific insights to senior business leadersPREFERRED QUALIFICATIONSStrong research track recordDeep experience and knowledge of experimentation, and of specific causal inference techniques (e.g. instrumental variables, differences-in-differences, synthetic control)Demonstrated ability to leverage data and/or models to drive organizational impact and change in a private or public sector contextAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Posted: November 6, 2024 (Updated 5 days ago)
#J-18808-Ljbffr