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Intern - Economics, Delivery Experience Economics (DEX Econ)

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23d ago

šŸš€ Off-cycle Internship


āŒ› Closed
Applications are closed

Off-cycle Internship



  • We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Knowledge of econometrics, and basic familiarity with Python or R, is necessary. 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 apply econometric methods to support business decisions, 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.


  • PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
  • Preferred Qualifications:
  • Experience in applied econometrics
  • Experience communicating statistical results
  • Familiarity with Python or R
  • Experience with SQL
  • Experience working with large data sets
  • Familiarity with concepts in ML
  • Eagerness to learn and apply new empirical methods
  • Attention to detail

Education requirements

Currently Studying
Third Year

Area of Responsibilities



  • Collaborate with business and science colleagues to understand the business problem and collect relevant data. Provide statistically rigorous analysis of data that contributes to business decision-making. Effectively communicate your results to colleagues and business leaders.
  • A day in the life:
  • Meet with colleagues to discuss how the business currently works. Discuss ways in which the customer experience could be improved, and what data you'd need to test your hypotheses. Meet with data and business intelligence engineers to build an efficient data pipeline using SQL, spark and other big data tools. Propose and execute a plan to analyze your data, working closely with your econ colleagues. Use Amazon's development tools, coding your estimators in Python or R. Draft your findings for an internal knowledge sharing session. Iterate to improve your work and communicate your final results in a business document.


Work type

Full time

Work mode