Amazon
Amazon
Applications Closed
Posted 4 months ago
Internship
Seattle, Washington
In Person
Smart Summary
Responsibilities
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.
Qualifications
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.
Job Description
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.
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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