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Sr. Manager, Economics, PXT Central Science

Job ID: 2071839 | Services LLC


Job summary
The People eXperience and Technology Central Science (PXTCS) team is an interdisciplinary team of scientists and engineers who use economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements that simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians.

We are looking for a people manager to launch and grow the PXTCS Labor Policy Hub. The Policy Hub will serve as a central hub through which PXTCS will partner with other PXT teams and business leaders to conduct causal, data-driven analysis of the impacts of different policies on key performance indicators (KPIs) for associate hiring, development and attrition. The Policy Hub’s causal estimates will serve as inputs to a variety of models including a unified attrition forecasting model for associates, an optimal variable pay tool that will be used to recommend compensation incentives, and a labor supply model. The Policy Hub will also build a repository and create mechanisms to disseminate labor-related causal impact studies conducted by PXTCS and by other teams to business leaders, HR partners, and other scientists. The Policy Hub’s output will have a broad and high-level impact on business decisions related to compensation, labor planning, scheduling and the associate experience.

The people manager will work closely with PXT Central Science leadership and with our business partners to shape the vision and build a roadmap for the Policy Hub, and will grow the team to include ~10 economists, research scientists and / or data scientists. The ideal candidate will have a strong background in causal inference, experience leading a team of scientists, the ability to work closely with business partners to prioritize competing requests, and a track record of clearly communicating scientific findings to business leaders.

We are flexible on location for this role which could be located at any of our offices in the US and Canada.


• PhD in Economics, Statistics, or a related quantitative field
• 10+ years of professional experience in applied economics or statistics


• Strong knowledge of causal inference methods
• Experience in labor market research
• Demonstrated experience leading science teams and hiring top talent
• Strong written and verbal communication skills, and the ability to convey scientific results to non-scientific audiences clearly and concisely
• Experience working with business partners to prioritize requests

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit