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Principal economist, stores economics and science (milano)

Milano
Amazon
Economista
Pubblicato il 11 marzo
Descrizione

Principal Economist, Stores Economics and Science This role will contribute to developing the Economics and Science products and services in the Fee domain, with specialization in supply chain systems and fees. Through the lens of economics, you will develop causal links for how Amazon, Sellers and Customers interact. You will be a key and senior scientist, advising Amazon leaders how to price our services. You will work on developing frameworks and scalable, repeatable models supporting optimal pricing and policy in the two-sided marketplace that is central to Amazon's business. The pricing for Amazon services is complex. You will partner with science and technology teams across Amazon including Advertising, Supply Chain, Operations, Prime, Consumer Pricing, and Finance. Key Responsibilities Improve our understanding of seller economics and estimate the causal impact of fees. Design pricing policy changes and provide guidance to scientists to develop econometric models to influence fee pricing worldwide. Lead development of causal models to isolate the impact of fee and policy changes from other business actions using experiments or observational data. Collaborate closely with Economists, Data / Applied Scientists, Strategy Analysts, Data Engineers, and Product leads to integrate economic insights into policy and systems production. About the Team The Stores Economics and Sciences team is a central science team that supports Amazon's Retail and Supply Chain leadership. We tackle some of Amazon's most challenging economics and machine learning problems, where our mandate is to impact the business on massive scale. Basic Qualifications PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math). 10+ years in industry, consulting, government, or academic research. Experience with big data and machine learning or data science. Proficiency in a scripting language such as R, Python, or STATA. Preferred Quali

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