Economist, Stores Economics and Science

This role will develop Economic and Econometric models and thought leadership on projects that span our business, with a particular focus on supply chain and inventory selection. Through the lens of economics, you will develop a deeper understanding of how customers value our selection and interact with Amazon's store to make shopping easier. You will be a key scientist, advising Amazon leaders how to evaluate selection and understand customers. You will work on developing frameworks and scalable, repeatable models supporting optimal pricing and policies for Amazon's business. You will partner with science and technology teams across Amazon including Supply Chain, Operations, Retail, FBA, Consumer Pricing, and Finance.

Responsibilities

• Develop Economic and Econometric models to analyze and optimize supply chain and inventory selection.
• Provide thought leadership and economic insights to advise Amazon leaders on customer behavior and selection evaluation.
• Create frameworks and scalable models for optimal pricing and business policies.
• Collaborate with Economists, Data/Applied Scientists, Software Engineers, and Product Managers to integrate economic insights into production systems and policies.
• Lead highly ambiguous and large-scale projects with a focus on delivering impactful results.
• Incorporate AI tools and methods into economic modeling and analysis.

About the Team

The Stores Economics and Sciences team is a central science team that supports Amazon's Retail and Supply Chain leadership. We tackle some of Amazon's most challenging economics and machine learning problems, with a mandate to impact the business at massive scale.

Requirements

• PhD in Economics or equivalent.
• Extensive knowledge of Economics and demonstrated strength in practical and policy-relevant structural econometrics.
• Strong collaboration skills and proven ability to lead large, ambiguous projects.
• Drive to deliver results and ability to work in a fast-paced environment.

Qualifications

• 2+ years of industry, consulting, government, or academic research experience.
• Knowledge of at least one statistical software package such as R, Stata, Matlab, or SAS.
• Experience in prediction and forecasting in a research or industrial environment.
• Experience with handling large datasets.

Pay

• USA, CA, Palo Alto: $157,300.00 - $212,800.00 USD annually
• USA, NY, New York: $157,300.00 - $212,800.00 USD annually
• USA, WA, Seattle: $136,000.00 - $184,000.00 USD annually

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line and Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).