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PhD Economics Intern – Finance, Macroeconomics, and Forecasting - Summer 2027

Amazon

Skills

Preferred

  • statistical analytics
  • programming languages
  • Python
  • Ruby
  • time-series econometric
  • time-series econometric analysis
  • Analyze large-scale datasets
  • time series econometrics

Amazon Economics is seeking Forecasting, Macroeconomics and Finance (FMF) Economist Interns who are passionate about applying time-series econometric methods to solve real-world business challenges. FMF economists interpret and forecast Amazon business dynamics by combining advanced time-series statistical methods with strong economic analysis and intuition. In this full-time internship (40 hours per week, with hourly compensation), you'll work with large-scale datasets to forecast business trends and inform strategic decisions, 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 2027 FMF Economist Internships.

Responsibilities

  • As an FMF Economist Intern, you'll specialize in time-series econometric analysis to understand, predict, and optimize Amazon's business dynamics. Your responsibilities include:
  • Analyze large-scale datasets using advanced time-series econometric techniques to solve complex business challenges
  • Applying frontier methods in time series econometrics, including forecasting models, dynamic systems analysis, and econometric models that combine macro and micro data
  • Developing formal models to understand past and present business dynamics, predict future trends, and identify relevant risks and opportunities
  • Building datasets and performing data analysis at scale using world-class data tools
  • Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
  • Tackling diverse challenges including analyzing drivers of growth and profitability, forecasting business metrics, understanding how customer experience interacts with external conditions, and evaluating short, medium, and long-term business dynamics
  • Build and refine comprehensive datasets for in-depth time-series economic analysis
  • Present complex analytical findings to business leaders and stakeholders

Requirements

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

Preferred

  • Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • 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

Pay

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

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.