Intern - Economics, WW Returns & ReCommerce
Job ID: 3204828 | Amazon.com Services LLC
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 Returns & ReCommerce and develop methods to validate and contextualize causal inference estimates.
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 Returns & ReCommerce Economics Intelligence (RREI) team brings together economists, data scientists, data analysts, and business intelligence engineers to deliver innovative research and products that discover and surface returns‑influencing behavior, trends and their root causes. We leverage a range of scientific approaches such as causal modeling, structural and choice modeling, time series, ML, and optimization models to yield tangible insights targeted at reducing the cost of returns and concessions without slowing down the Amazon flywheel.
Basic Qualifications
* Candidates are required to be enrolled in an Economics PhD program or closely related field.
* Applicants should be enrolled in at least the 3rd year of their PhD program and not currently on the job market.
Preferred Qualifications
* Experience with machine learning (ML) tools and methods.
* Methods for validating causal inference estimates (experimental benchmarks, placebo and falsification tests, synthetic data approaches, etc.).
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
Salary: 129,200.00 – 174,700.00 USD annually.
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