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Intern - Economics, Delivery Experience Economics (DEX Econ)

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Amazon

13d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • London

AI generated summary

  • You must be a 3rd-year PhD Economics student, familiar with R/Python, SQL, large datasets, structural/IO economics, and applied econometrics; strong communication and attention to detail are essential.
  • You will analyze data, collaborate with teams to improve customer experience, build data pipelines, code estimators, and communicate findings effectively.

Requirements

  • PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
  • Familiarity with R or Python
  • Experience working with large data sets
  • Experience in structural/IO economics
  • Knowledge of applied econometrics
  • Attention to detail
  • Experience with SQL
  • Excellent communication skills to technical and non-technical audiences

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.
  • 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.

FAQs

What are the minimum qualifications required for this internship?

Candidates must be PhD students in Economics, enrolled in the 3rd year or more, and not currently on the job market.

Is knowledge of programming languages required for this position?

Yes, familiarity with R or Python is necessary, and experience with SQL and UNIX would be a plus.

What are the working hours for this internship?

This is a full-time position, requiring 40 hours of work per week.

What percentage of previous interns have converted to full-time positions?

Roughly 85% of previous cohorts have converted to full-time Economics employment at Amazon.

What kind of analysis will I be performing during the internship?

You will provide statistically rigorous analysis of data that contributes to business decision-making, as well as apply econometric techniques.

Will I have opportunities to collaborate with other teams?

Yes, you will collaborate with business and science colleagues, as well as other teams such as data and business intelligence engineers.

What skills will I gain from this internship?

You will learn how to build data sets, perform applied econometric analysis, and communicate your findings effectively, which will be beneficial for writing chapters in your dissertation and enhancing your work experience.

What are the main responsibilities of this internship?

Responsibilities include understanding business problems, collecting relevant data, performing analysis, and effectively communicating results to colleagues and business leaders.

What type of projects will I be working on?

Projects will focus on improving the delivery experience for customers while also considering cost efficiency, involving collaboration with various experts in supply chain, operations, and user experience.

Is this position open to candidates from different backgrounds?

Yes, Amazon is committed to a diverse and inclusive workplace and welcomes candidates from all backgrounds.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

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.