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PhD Economics Intern – Structural IO, Summer 2027

Amazon

New York City, NYFull-time$135K/yrSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$135K/yr
Location
New York City, NY
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Amazon Economics seeks Structural IO Economist Interns to apply structural econometric methods to real-world business challenges, working with large-scale datasets, modeling strategic decision‑making, and gaining hands‑on experience relevant to dissertation work and future careers.

Skills & qualifications

RequiredNice to have

Skills

Structural Econometric AnalysisDiscrete Choice ModelsLogistic RegressionBLPNested LogitDynamic ModelsGame TheoryAuction ModelsLabor Market ModelsRStataPython

Qualifications

PhD in Economics or Related Field

Benefits

Medical Insurance
401(k) Match

Full job description

Description

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 .

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