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Amazon

PhD Economics Intern – Structural IO, Summer 2027

Amazon is hiring a PhD Economics Intern – Structural IO, Summer 2027 in Seattle, United States. It pays $123k a year and Level rates it ; you can apply on Level.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions R, Stata and Python among its tools and skills.
  • Level classes it as an internship.
  • Amazon has 22,000+ other open roles on Level.

AI in this role

PhD Economics Intern applying structural econometric methods and large-scale datasets to business challenges and pricing strategies.

rstatapython
econometricsdata-analysisstructural-ioeconomic-modeling
Amazon Economics is seeking Structural IO Economist (STRUC) Interns who are passionate about applying structural econometric methods to solve real-world business challenges. STRUC economists specialize in the econometric analysis of models that involve the estimation of fundamental preferences and strategic effects. In this full-time internship (40 hours per week, with hourly compensation), you'll work with large-scale datasets to model strategic decision-making and inform business optimization, gaining hands-on experience that's directly applicable to dissertation writing and future career placement.

By applying to this role, you are automatically being considered for all our available STRUC internships in 2027.

Key job responsibilities
As a STRUC Economist Intern, you'll specialize in structural econometric analysis to estimate fundamental preferences and strategic effects in complex business environments. Your responsibilities include:
- Analyze large-scale datasets using structural econometric techniques to solve complex business challenges
- Applying discrete choice models and methods, including logistic regression family models (such as BLP, nested logit) and models with alternative distributional assumptions
- Utilizing advanced structural methods including dynamic models of customer or firm decisions over time, applied game theory (entry and exit of firms), auction models, and labor market models
- Building datasets and performing data analysis at scale
- Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
- Tackling diverse challenges including pricing analysis, competition modeling, strategic behavior estimation, contract design, and marketing strategy optimization
- Helping business partners formalize and estimate business objectives to drive optimal decision-making and customer value
- Build and refine comprehensive datasets for in-depth structural economic analysis
- Present complex analytical findings to business leaders and stakeholders

Basic qualifications

- 3rd year or greater PhD student in Economics or related field

Preferred qualifications

- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software

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. 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. 



Arlington, VA, USA - 122,740.00 USD Annually
Bellevue, WA, USA - 122,740.00 USD Annually
New York City, NY, USA - 134,980.00 USD Annually
Seattle, WA, USA - 122,740.00 USD Annually

How we rate this

PhD Economics Intern – Structural IO, Summer 2027 at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

EconometricsData AnalysisStructural IoEconomic ModelingRStataPython

Questions you could be asked

  1. Tell me about a project where econometrics was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where structural io was part of your work. What did you do?
  4. Tell me about a project where economic modeling was part of your work. What did you do?
  5. Walk me through how you've used R in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Econometrics, Data Analysis, Structural Io, Economic Modeling, and R. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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