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 motivated Economist to lead the development of models to enhance our pricing calculation for services used by third party sellers. In this role, you will develop structural and causal models to determine how third party sellers react to changes in fees and policies worldwide. You will use your findings to influence the development of new products and pricing strategies impacting the millions of sellers using the Amazon marketplace. The ideal candidate will have experience with large scale marketplace behavior modeling, outstanding technical abilities, and strong business acumen. They will be comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. The position requires working closely with other Economists, Data Scientists, Strategy Analysts, Product Managers, and Software Developers.
Key job responsibilities
· Design and develop complex models to assess the causal impact of fees on FBA Seller’s behavior.
· Design and conduct experiments to validate theories and improve understanding of Amazon’s third party marketplace ecosystem.
· Collaborate with product managers, data scientists and software developers to incorporate models into production processes and influence senior leaders.
· Refine fee structures to improve FBA benefits for customers and sellers.
· Serve as subject matter expert for seller economics related issues within the Amazon marketplace.
· PhD in Economics or closely related field
· Experience in industry, consulting, government or academic research.
· Effective verbal and written communications skills.
· Ability to work in a fast-paced business environment.
· Research track record.
· Experience with SQL and large datasets.
· Background in statistics methodology, applications to business problems, and/or big data.
· Familiarity with machine learning techniques.
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.