Economist II, People Experience and Technology Central Science

Amazon

Amazon

People & HR, IT

Arlington, VA, USA

Posted on Apr 3, 2026

Description

The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians.

The Benefits Science team is looking for an economist to transform complex business challenges into actionable scientific insights. In this role, you will partner directly with business leaders to design and evaluate pilots, build models using large-scale data, and scale successful prototypes into company-wide policies and programs.

We're looking for someone who can combine rigorous scientific thinking with practical business acumen and is passionate about using economics to improve employee experiences at scale. The ideal candidate will thrive in interdisciplinary environments, working alongside engineers, data scientists, and business leaders from diverse backgrounds.

Key job responsibilities
- Design and conduct rigorous evaluations of benefits programs
- Support the development and application of structural models
- Develop experiments to evaluate the impact of benefits initiatives
- Communicate complex findings to business stakeholders in clear, actionable terms
- Work with engineering teams to develop scalable tools that automate and streamline evaluation processes

A day in the life
Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.