The Stores Economics and Science (SEAS) team is a cross-functional group dedicated to solving Amazon Stores' most complex and high-impact challenges. Our team comprises talented scientists, engineers, and Scholars with deep knowledge in Economics, Operations Research, Statistics, and Artificial Intelligence.

We are looking for a strong Economist with expertise in applying causal inference methods using observational data and/or randomized experiments in driving top-line and bottom-line business opportunities in areas such as product selections, cost-to-serve, and delivery speed, etc.

This candidate will work with scientists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon's business. We are looking for a creative thinker who can combine a strong economic toolbox with a desire to learn from others, and who knows how to execute and deliver on big ideas.

Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.