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 will work with large‐scale datasets to forecast business trends and inform strategic decisions, gaining hands‐on experience that is directly applicable to dissertation writing and future career placement.
Key Responsibilities
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 combine macro and micro data
Develop formal models to understand past and present business dynamics, predict future trends, and identify relevant risks and opportunities
Build datasets and perform data analysis at scale using world‐class data tools
Collaborate with economists, scientists, and business leaders to develop data‐driven insights and strategic recommendations
Tackle 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
Preferred Qualifications
Experience with SQL, UNIX, Sawtooth, and Spark
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.91/hr in our lowest geographic market up to $96.63/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‐related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‐on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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