Senior Research Scientist, Experience Analytics

Amazon • Seattle, WA

1d • Onsite

About The Position

AWS Experience Analytics (EXA) is seeking a Research Scientist to lead customer perspectives research for the team. EXA exists to turn customer understanding into products and intelligence that teams across AWS can use. We run customer experience deep dives, product futures research, and forward-looking studies that bring decision-makers face-to-face with how customers experience AWS. The research this team produces shapes product strategy, investment decisions, and how AWS leadership thinks about the customer.

What we need is someone who thinks like a scientist about customers. You have the statistical depth to work with complex behavioral data — building models, testing hypotheses, finding structure in messy signals — and the instinct to go beyond the data when the data is not enough. You are not satisfied with a model that predicts behavior without understanding why.

The landscape is shifting. AWS customers are moving from traditional console-based building toward AI-augmented, agent-primary, and autonomous workflows. Understanding who these customers are, how they think, and what they need requires new research approaches — not just new data. You will design the studies, develop the frameworks, and produce the evidence that helps AWS see its customers clearly as this transformation unfolds.

You will work alongside data scientists, applied scientists, engineers, and research teams who are building the data foundations for customer understanding.

Requirements

• Experience utilizing R or Python
• PhD in statistics, computational social science, information science, behavioral science, economics, or a related quantitative field
• 5+ years of experience applying statistical methods to customer, user, or behavioral research
• Experience producing research that has informed product or business decisions

Nice To Haves

• Experience with customer experience measurement, journey analytics, or behavioral segmentation
• Experience with causal inference methods (A/B testing, quasi-experimental designs, instrumental variables)
• Experience working in technology companies where research must translate into product action
• Experience with large-scale behavioral data platforms or customer data infrastructure
• Published research in applied statistics, computational social science, or related fields
• Experience presenting research findings to senior leadership (Director+)

Responsibilities

• Apply rigorous statistical methods to customer experience data — segmentation analysis, behavioral pattern analysis, causal inference, and outcome measurement — grounded in the team's customer lifecycle data and metrics frameworks.
• Produce research findings structured to inform product strategy and leadership decisions.
• Develop research frameworks and approaches for understanding emerging customer populations — AI-augmented builders, agent-primary developers, Gen Z digital natives — where existing methods may not apply.
• Write compelling, clear research narratives for technical and non-technical audiences, including senior leadership.
• Contribute to the team's scientific direction and mentor others.

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree