Senior Research Scientist, Experience Analytics
Seattle, OR - USA
Job Summary
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.
Key job responsibilities
- Apply rigorous statistical methods to customer experience data segmentation analysis behavioral pattern analysis causal inference and outcome measurement grounded in the teams 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 teams scientific direction and mentor others.
About the team
Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting has not followed a traditional path or includes alternative experiences do not let it stop you from applying.
Mentorship and Career Growth We are continuously raising our performance bar as we strive to become Earths Best Employer. That is why you will find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home there is nothing we cannot achieve in the cloud.
- 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
- 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)
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 WA Seattle - 159200.00 - 215300.00 USD annually
Required Experience:
Senior IC
About Company
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