Drimva

Amazon

Principal Economist, Fulfillment by Amazon

$189K–$256K

Bellevue, WA · Principal · Full-time · Posted Aug 21, 2026

Experience
7+ years in academia, industry, consulting, or government applying economic methods to substantive problems.
Education
PhD in Economics, Finance, Statistics, Mathematics, or a closely related quantitative field.

About the job

Leads economic and market-design science for FBA supply-chain and fulfillment systems, developing models and experiments to improve seller and customer outcomes and guide autonomous resource management.

What you'll do

  • Design markets, incentives, economic models, and large-scale experiments for supply-chain efficiency and seller policies.
  • Develop economic frameworks for fulfillment operations and shape the economics of fast-delivery programs.
  • Set technical direction, influence business and science leaders, and mentor economists and scientists.

What they ask for

  • PhD in Economics, Finance, Statistics, Mathematics, or a closely related quantitative field.
  • 7+ years applying economic methods to substantive problems in academia, industry, consulting, or government.
  • Experience applying economic analysis with big data, causal inference, machine learning, and data science; ability to build complex economic models from scratch and take them to production.
  • Proficiency in Python, R, SQL, or equivalent; familiarity with GenAI methods; research record demonstrating rigor; strong written and verbal communication.

Nice to have

  • Background in industrial organization, mechanism/market design, or structural model estimation; experience at the intersection of economics and operations research.
  • Experience with production-grade languages such as Java or C++.

Pay

189,400.00 - 256,200.00 USD annually (base salary)

Tools

Python, R, SQL, GenAI, Java, C++

AI focus

Familiarity with GenAI methods for automation and rapid prototyping; work includes designing and implementing agentic systems and trustworthy autonomous resource-management systems.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)