Senior Economist, Economic Decision Science

Job title:

Senior Economist, Economic Decision Science

Company

Amazon

Job description

DESCRIPTIONEconomic Decision Science is a central science team working across a variety of topics in the EU Stores business and beyond. We work closely EU business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with EU- and US-based interdisciplinary teams.We are looking for a Senior Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale.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 responsibilities
– Provide data-driven guidance and recommendations on strategic questions facing the EU Retail leadership
– Scope, design and implement version-zero (V0) models and experiments to kickstart new initiatives, thinking, and drive system-level changes across Amazon
– Build a long-term research agenda to understand, break down, and tackle the most stubborn and ambiguous business challenges
– Influence business leaders and work closely with other scientists at Amazon to deliver measurable progress and changeWe are open to hiring candidates to work out of one of the following locations:London, GBRBASIC QUALIFICATIONS– PhD in Economics is a must
– Several years of experience in academia, private sector, consulting or government
– Working experience in Stata, R, Matlab, and/or Python
– Experience applying empirical techniques in reduced-form causal analysis, empirical industrial organization, and/or machine learning
– Ability to distil and communicate relevant scientific insights to senior business leadersPREFERRED QUALIFICATIONS– Confirmed track record of academic publications
– Deep experience and knowledge of specific microeconometric empirical techniques (e.g. experimentation, difference-in-difference models, matching and doubly robust methods, demand estimation)
– Demonstrated ability to leverage data and/or models to drive organizational impact and change in a private or public sector context
– Ability to identify and successfully pitch the value of new ideas to business leadersAmazon 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT – 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).

Expected salary

Location

London

Job date

Wed, 10 Apr 2024 04:56:00 GMT

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