We're 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. You'll 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 Amazon's 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 what's possible by combining operations research with machine learning and generative AI to solve novel workforce optimization problems
This isn't a role where you'll be running standard analyses on repeat. You'll 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.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience with statistical modeling / machine learning
- Knowledge of R, MATLAB, Python or similar scripting language
PREFERRED QUALIFICATIONS
- 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
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 https://amazon.jobs/en/benefits.
USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually