Economics Intern

- PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
- Experience with SQL
- Experience working with large, complex data sets
- Knowledge of causal inference
- Knowledge of Python or R
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience writing content that is clear, well-organized, and grammatically correct

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The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to apply their causal inference skillsets to solve real world problems. The intern will work in the area of 3P Seller Fees Science and develop models to understand the impact of changing fees on Seller supply-side behavior (e.g. managing inventory levels, introducing new selection, etc.).

Our PhD Economist Internship Program offers hands-on experience in applied economics, supported by mentorship, structured feedback, and professional development. Interns work on real business and research problems, building skills that prepare them for full-time economist roles at Amazon and beyond. You will learn how to build data sets and perform applied econometric analysis collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.

These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis.


About the team
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.

Within the Science team, our goal is to understand the impact of changing fees on Seller (supply) and Customers (demand) behavior (e.g. price changes, advertising strategy changes, introducing new selection etc.) as well as using this information to optimize our fee structure and maximizing our long term profitability.