What are the responsibilities and job description for the Senior Research Scientist, Experience Analytics position at Amazon Science?
Description
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.
Key job responsibilities
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 Earth's 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.
Basic Qualifications
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually
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.
Key job 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.
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 Earth's 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.
Basic Qualifications
- 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 )
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually