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

Job description

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.

Key job 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