Economist Intern, Amazon Pharmacy
Amazon
Economist Intern, Amazon Pharmacy
Amazon
Posted 21 days ago
Internship
Seattle, Washington
In Person
Smart Summary
The intern will apply causal inference skillsets to solve real-world problems within Amazon Pharmacy, gaining hands-on experience in applied economics through mentorship and structured feedback. Responsibilities include building data sets and performing applied econometric analysis while collaborating with economists, scientists, and product managers.
Amazon is seeking a detail-oriented and organized Economist Intern with a strong grasp of causal inference to tackle real-world challenges within Amazon Pharmacy. This internship requires you to be enrolled in at least the third year of a Ph.D. program in Economics or a related field, with knowledge of data analysis languages such as R, Stata, or Python, and experience in statistical or econometric modeling.
Must Have Skills for ATS
Causal Inference
Data Analysis
Econometrics
Applied Economics
Data Sets Building
Applied Econometric Analysis
R
Stata
Python
Statistical Software
Statistical Modeling
Analytical Skills
Communication Abilities
Job Description
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. Basic Qualifications: - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
- Knowledge of statistical or econometric modeling
- Enrolled in at least the third year of a Ph.D. program in Economics or related field Preferred Qualifications: - Experience that includes strong analytical skills, attention to detail, and effective communication abilities
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, WA, Seattle - 129,200.00 - 174,700.00 USD annually
Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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