Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Seattle, Washington, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- 3rd year or greater PhD student in Economics or related field
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Role Summary
Full-time summer 2027 internship on the Amazon Economics Forecasting, Macroeconomics and Finance team, focused on time-series econometric analysis of business dynamics. Interns work with large-scale datasets to forecast business trends and inform strategic decisions.
What You'll Do
- Analyze large-scale datasets using advanced time-series econometric techniques to solve complex business challenges
- Apply frontier methods in time series econometrics, including forecasting models, dynamic systems analysis, and econometric models that...
- Develop formal models to understand past and present business dynamics, predict future trends, and identify relevant risks and opportunities
- Build and refine comprehensive datasets for in-depth time-series economic analysis
- Collaborate with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
- Present complex analytical findings to business leaders and stakeholders
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Enrolled as a 3rd-year or greater PhD student in Economics or a related field.
Required
- 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.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
Basic Qualifications
- 3rd year or greater PhD student in Economics or related fieldPreferred Qualifications
- 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.
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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About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.