Description

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.

About the team

The Seller Fees team owns the end-to-end fees experience for all third-party sellers WW. We develop monetization strategies, Economics and Science models, and software that accurately charge Sellers fees while optimizing long-term Amazon growth; thereby allowing Sellers to offer Customers outstanding selection at sharp prices. Our systems let Amazon teams launch and change fees in ways that build Seller trust, ensuring every transaction is accurately calculated and transparent.

The Fee domain includes Fee Strategy, Seller Experience, Seller Economics, ML, Data Science and Analytics, payments accuracy and integrity, and provides scalable technology to monetize Amazon’s services available to third-party sellers.

We are open to hiring candidates to work out of one of the following locations:

New York City, NY, USA | Palo Alto, CA, USA | Phoenix, AZ, 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

• Strong research track record, drives results

• Thinks strategically, but stays on top of tactical execution

• Effective verbal and written communications skills

• Exhibits business judgment

• Has relentlessly high standards

• Dives deep, thinks big and has convictions

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,500/year in our lowest geographic market up to $294,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.