Economist Intern, PV Hub Science

Amazon

Posted 11 days ago

Internship

Seattle, Washington

In Person

Smart Summary

Responsibilities

The intern will optimize the Prime Video promotional and advertising experience through personalized recommendations. Responsibilities include building data sets and performing applied econometric analysis in collaboration with scientists and product managers.

Qualifications

You are currently pursuing a PhD in a quantitative field such as econometrics, statistics, or data analytics. You will gain hands-on experience in applied economics, learning to build datasets and perform econometric analysis with economists and scientists.

Must Have Skills for ATS

econometrics

statistics

industrial engineering

operations research

optimization

data mining

analytics

SQL

Python

Job Description

Our team focuses on optimizing the house promotional experience within Prime Video for customers and marketing teams to surface personalized recommendations to streamers and optimize the advertising experience. The job will give candidates an opportunity to sit at the forefront of improving the Amazon Prime Video experience for customers and improving the handling of advertising for internal and external marketers within Prime Video. Advertising within Prime Video is at a exciting crossroads to make meaningful impact for customers while driving business innovation.

Key job responsibilities
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: - Are enrolled in a PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field Preferred Qualifications: - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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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