- Experience in applied macroeconomics, time series and macroeconometrics, economic theory, and quantitative methods
- Experience in building statistical models using R, Python, STATA, or a related software
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.
USA, NY, New York - 142,100.00 - 192,200.00 USD annually
USA, WA, BELLEVUE - 129,200.00 - 174,700.00 USD annually
USA, WA, Bellevue - 129,200.00 - 174,700.00 USD annually
We are looking for detail-oriented, organized, and responsible individuals who are eager to apply their talents and skills to help develop state of the art forecasting models and estimate them on large and complicated data sets. Knowledge of time series econometrics and experience with Python are necessary; familiarity with MATLAB and Bayesian estimation techniques, especially for state space models, are preferable.
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.
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