Intern - Economics, Seller Fees

Amazon•Seattle, WA

About The Position

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 differential impacts of changing referral and fulfillment fees on seller and customer behavior. 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 long term-growth and profitability.

Requirements

Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods
Experience that includes strong analytical skills, attention to detail, and effective communication abilities
Applicants must be enrolled in at least the third year of a PhD program in Economics or a related quantitative field and not currently on the job market
Proficiency in statistical programming languages (Stata, R, or Python)
Experience with SQL
Experience working with large, complex data sets
Experience effectively communicating complex concepts through written and verbal communication
Experience writing content that is clear, well-organized, and grammatically correct
Experience using causal inference techniques to study complex real world problems