Amazon Economics is seeking Structural Economist (STRUC) Interns who are passionate about applying structural econometric methods to solve real-world business challenges. STRUC economists specialize in the econometric analysis of models that involve the estimation of fundamental preferences and strategic effects. In this full-time internship (40 hours per week, with hourly compensation), you'll work with large-scale datasets to model strategic decision-making and inform business optimization, gaining hands-on experience that's directly applicable to dissertation writing and future career placement.
As a STRUC Economist Intern, you'll specialize in structural econometric analysis to estimate fundamental preferences and strategic effects in complex business environments. Your responsibilities include:
- Analyze large-scale datasets using structural econometric techniques to solve complex business challenges
- Applying discrete choice models and methods, including logistic regression family models (such as BLP, nested logit) and models with alternative distributional assumptions
- Utilizing advanced structural methods including dynamic models of customer or firm decisions over time, applied game theory (entry and exit of firms), auction models, and labor market models
- Building datasets and performing data analysis at scale
- Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
- Tackling diverse challenges including pricing analysis, competition modeling, strategic behavior estimation, contract design, and marketing strategy optimization
- Helping business partners formalize and estimate business objectives to drive optimal decision-making and customer value
- Build and refine comprehensive datasets for in-depth structural economic analysis
- Present complex analytical findings to business leaders and stakeholders
- 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
- - 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
- Experience with SQL, UNIX, Sawtooth, and Spark
