Health Economist II, Amazon Health Services, Health Measurement and Analytics

Amazon • Seattle, WA

10d

About The Position

The Amazon Health Services (AHS) organization is building the future of healthcare at Amazon, bringing together Amazon Pharmacy, One Medical, and other health initiatives to deliver a seamless, customer-centric healthcare experience. Within AHS, the Health Store and Tech (HST) team's mission is to unify the healthcare experience through shared services and technology to simplify how customers engage with health and wellness products and services across Amazon. This is a high-impact role with the opportunity to shape how millions of customers discover, access, and engage with healthcare services and products on Amazon—ultimately transforming how people manage their health and wellness through technology. As an economist, you will partner with business teams to develop models that address critical challenges across the organization. Your work may include estimating demand systems for healthcare services, measuring how care delivery mechanisms affect utilization and quality outcomes, understanding customer decision-making around the convenience-cost-quality tradeoffs in primary care, and designing quasi-experiments to measure the causal impacts of pricing changes, product launches, and care delivery innovations. The problems are technically challenging, featuring information frictions, principal-agent dynamics, and regulatory complexity. However, you'll have access to proprietary data and robust engineering support to develop tractable, scalable solutions. Your analyses will inform strategic discussions with Leadership and directly influence go/no-go decisions that shape the future of healthcare at Amazon.

Requirements

• PhD in economics or equivalent

Nice To Haves

• 2+ years of industry, consulting, government, or academic research experience
• Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
• Experience in prediction and forecasting in a research or industrial environment
• Experience with handling of large datasets
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience programming with at least one software programming language
• Experience developing and implementing forecasting models
• Proficiency in generative AI techniques and tools
• Demonstrated ability to work with large-scale datasets and complex data structures
• Post-PhD experience applying structural or causal inference methods in industry, consulting, policy, or academic research settings
• Healthcare domain expertise, including knowledge of insurance markets, healthcare provider systems, care delivery models, and claims/EHR data from prior research or industry experience

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree