Senior Economist, Seller Fees

3 days agoSeattle, WA


The Selling Partner Fees team owns the end-to-end fees experience for two million active third party sellers. We own the fee strategy, fee seller experience, fee accuracy and integrity, fee science and analytics, and we provide scalable technology to monetize all services available to third-party sellers.

We are looking for a Senior Economist to lead the development of models to improve our understanding of the impact of fee changes on third-party programs, such as Fulfillment by Amazon (FBA), worldwide. The ideal candidate will be an influencer with outstanding technical skills and a practical mindset. They will lead the development of statistical and machine learning models to understand third party seller behaviors and enhance our pricing calculation models. This candidate will be comfortable leading research in unexplored areas and communicating their findings with senior leadership. They will enjoy dealing with ambiguous problems and working in a fast-paced and dynamic environment. The position also requires collaboration with other scientists (Economists, Data Scientists...), Strategy Analysts, Product Managers and Software Developers.

• Design and develop rigorous models to assess the causal impact of fees on third party sellers' behavior and business performance.
• Lead enhancements into existing fee calculation models to maximize the long term health of the Amazon third-party marketplace.
• Design and conduct experiments to validate theories and improve understanding of Amazon's third party ecosystem.
• Own the scientific vision and direction related to fees worldwide.
• Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders.
• Act as ambassador of the fees scientific community.

Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


• PhD in Economics or highly related field
• Post-PhD work experience in industry, consulting, government, or academic research
• Experience in applied economic analysis/causal inference and structural modeling
• Written and verbal communication with both technical and business audience


• Proven track record in conducting research and solving business problems leveraging techniques from economics or related disciplines.
• Coding ability in a scripting language such as Python, R, Matlab, or STATA
• Some experience with machine learning techniques
• Exhibits high business judgment
• Ability to work in a fast-paced business environment

Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Client-provided location(s): Seattle, WA, USA
Job ID: Amazon-1309792

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