Research Scientist, Operational Efficiency, AET Planning and Analytics Science

About the role

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.

Responsibilities

• 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

Requirements

• 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

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

Benefits

This role offers a competitive base salary range, sign-on payments, and RSUs. Final compensation is determined based on experience, qualifications, and location. Amazon provides comprehensive benefits including medical, dental, vision, prescription, life insurance, AD&D, EAP, mental health support, flexible spending accounts, adoption and surrogacy reimbursement, and 401(k) matching. Learn more at https://amazon.jobs/en/benefits.

Pay

The base salary range for this position is listed below. Final compensation will be determined based on factors including experience, qualifications, and location:

• 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

Schedule

Details on the schedule are not specified in the job posting.