Job Description

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.

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

BASIC QUALIFICATIONS

- - Applicants must be enrolled in at least the third year of a PhD program in Economics or a related quantitative field and not currently on the job market
- - Proficiency in statistical programming languages (Stata, R, or Python)
- - Strong foundation in econometric methods and statistical analysis
- - Strong analytical and problem-solving skills

Job Tags

Hourly pay, Full time, Temporary work, Internship,

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