Intern Economics (STRUC) at Amazon Economics

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 this full-time internship (40 hours per week with hourly compensation) youll work with large-scale datasets to model strategic decision-making and inform business optimization gaining hands-on experience thats directly applicable to dissertation writing and future career placement.Key job responsibilitiesAs a STRUC Economist Intern youll 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 SparkAmazon 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 for more information. If the country/region youre applying in isnt 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.Required Experience:Intern Key Skills Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic Employment Type : Full-Time Experience: years Vacancy: 1