About the team

The JP Economics and Decision Sciences team is a central science team that applies rigorous economic theory, causal inference methods, and machine learning to solve complex business challenges across the JP marketplace and beyond. We work closely with JP business leaders to drive change at Amazon, focusing on solving long-term, ambiguous problems while providing advisory support for short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic and econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with JP-, EU-, and US-based interdisciplinary teams.

Role Summary

We are seeking an Economist to join our growing team in Japan. In this role, you will apply rigorous economic and econometric methods to guide critical business decisions affecting Amazon's JP marketplace. You will build causal inference models to measure the impact of business initiatives on pricing, product selection, delivery speed, profitability, and customer experience. Working alongside economists, data scientists, and business intelligence engineers, you will tackle challenging problems using state-of-the-art analytical techniques while providing advisory support to business stakeholders.

As one of the first economists based outside North America and EU, you will play a pioneering role in expanding Amazon's economist community in Asia and make an outsized impact on our international marketplace operations.



Key job responsibilities
Design and execute causal inference analyses using econometric techniques to measure the impact of business initiatives on key marketplace metrics

Build economic models to optimize pricing strategies, product selection decisions, and delivery speed investments that balance customer experience with business profitability

Collaborate with product managers, engineers, and business leaders to translate complex business questions into tractable research problems and deliver actionable insights

Design and analyze experiments to test hypotheses and validate causal relationships in observational data

Develop scalable analytical frameworks and tools using R, Python, or Stata that can be leveraged across multiple business use cases

Present findings and recommendations to technical and non-technical audiences, including senior leadership, through clear written narratives and data visualizations

Partner with Machine Learning and BI team members to integrate economic insights into automated decision-making systems