Research Scientist, Operational Efficiency, AET Planning and Analytics Science

Were looking for a Research Scientist to join a team that builds the science behind how Amazon supports its 1.5M employees - from forecasting demand across HR services to optimizing how work gets routed and assigned in real time. Youll own high-impact operations research and causal inference work that directly reduces costs and improves the employee experience at global scale.

In this role you will:

- Design and build simulation and optimization models that automate workforce scheduling hiring and task assignment across Amazons HR contact centers and back-office operations
- Develop causal inference frameworks to measure the true impact of policy changes product launches and AI-driven initiatives on employee experience and operational efficiency
- Collaborate with senior leaders to translate complex analytical findings into actionable strategies that influence staffing routing and resource allocation decisions affecting thousands of associates
- Push the boundaries of whats possible by combining operations research with machine learning and generative AI to solve novel workforce optimization problems

This isnt a role where youll be running standard analyses on repeat. Youll be building novel solutions - like contact center simulators that replicate real-world operations scheduling optimizers that replace manual processes and experiment frameworks that credibly quantify the impact of large-scale organizational changes. Your work will directly inform decisions made by VP and Director-level leaders who set the strategy for how Amazon supports its employees at scale.

About the team
We are a team of economists research scientists and data scientists within Amazons People Experience and Technology Finance organization. Our mission is to make Amazons employee support services smarter faster and more efficient through rigorous science - from forecasting models that drive hiring plans to simulation engines that optimize how HR services are delivered to Amazons global workforce of 1.5M people.

Our work runs in production informs weekly planning decisions and shapes resource allocation at scale. We value intellectual rigor ownership and collaboration publishing at internal science conferences maintaining shared codebases and holding each other to high technical standards. Youll have real ownership from day one: framing problems building solutions and presenting results to senior leaders who act on your recommendations.

- PhD or Masters degree and 4 years of quantitative field research experience
- Experience with statistical modeling / machine learning
- Knowledge of R MATLAB Python or similar scripting language

- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience in causal modeling like graphical models causal Bayesian network potential outcomes A/B testing experiments quasi-experiments and data science workflows
- Experience consulting with senior leadership and executives in a fast-paced environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at VA Arlington - 136000.00 - 184000.00 USD annually
USA WA Bellevue - 136000.00 - 184000.00 USD annually