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 scaleable, 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.
We are looking for an experienced Principal Economist to improve our understanding of seller Economics, enhance our ability to estimate the causal impact of fees, and work with partner teams to design pricing policy changes.
In this role, you will provide guidance to scientists to develop econometric models to influence our fee pricing worldwide.
You will lead the development of causal models to help isolate the impact of fee and policy changes from other business actions, using experiments when possible, or observational data when not.
Key job responsibilities
The ideal candidate will have outstanding Economics knowledge, demonstrated strength in practical and policy relevant structural econometrics, strong collaboration skills, proven ability to lead highly ambiguous and large projects, and a drive to deliver results.
They will work closely with Economists, Data / Applied Scientists, Strategy Analysts, Data Engineers, and Product leads to integrate economic insights into policy and systems production.
Familiarity with systems and services that constitute seller supply chains is a plus but not required.
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.
We are open to hiring candidates to work out of one of the following locations :
San Francisco, CA, USA Seattle, WA, USA
BASIC QUALIFICATIONS
- PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)
- 10+ years of experience in industry, consulting, government, or academic research
- Experience with big data and machine learning or data science
- Coding ability in a scripting language such as R or python or STATA
PREFERRED QUALIFICATIONS
- Experience in developing and executing an analytic vision to solve business-relevant problems.
- Experience in building analytic or scientific data products or solutions.
- Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
- Applicants with considerably more and broader, experience, are also strongly encouraged.
- Strong track record in performing high-quality analysis of data at scale.
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