Intern - Economics, FBA Science

US, MI, Virtual Location - Michigan

Amazon.com

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Fulfillment by Amazon (FBA) enables third-party sellers to use Amazon’s world-class science and logistics infrastructure to fulfill customer orders worldwide with lightning-fast delivery speeds. In doing so, sellers can spend more time building great products, delight customers, and grow their business.

FBA Science is looking for an Economist intern with strong econometrics, machine learning, and empirical industrial organization skills to join our cross-domain group of economists, applied scientists, research scientists, and data scientists. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large datasets to tackle complex research questions. Some knowledge of econometrics and machine learning are necessary, as is a basic familiarity with Python. Experience with SQL is a plus.

These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. 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.

Roughly 85% of previous cohorts have converted to full time economist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.

Basic Qualifications


- PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)

Preferred Qualifications

- Knowledge of econometrics, causal inference, and machine learning
- Experience working with large datasets
- Familiarity with Python
- Basic familiarity with SQL
- Attention to detail

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.91/hr in our lowest geographic market up to $96.63/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Tags: Causal inference Econometrics Economics Industrial Machine Learning PhD Python Research SQL

Perks/benefits: Career development Equity / stock options

Regions: Remote/Anywhere North America
Country: United States

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