Senior Research Scientist, Experience Analytics
Amazon Development Center U.S., Inc.•4h ago
United StatesOnsite$159.2K–$215.3KFull-timeSenior Level5+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Research ScientistSenior Data Scientist
- 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
- 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
- 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
- autonomous workflows. Understanding who these customers are, how they think
- what they need requires new research approaches — not just new data. You will design the studies, develop the frameworks
- produce the evidence that helps AWS see its customers clearly as this transformation unfolds. You will work alongside data scientists, applied scientists, engineers
- 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
- 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. 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
- 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
- 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
- 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, data science
- an equivalent quantitative field - 5+ years of experience applying statistical methods to customer, user
- behavioral research - Experience producing research that has informed product or business decisions
- Experience converting research studies into tangible real-world changes - Experience with discrete and continuous optimization methodologies and algorithms Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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 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
- 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
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually
Required skills
RPythonstatistical methodsbehavioral researchsegmentation analysiscausal inferenceoutcome measurementoptimization methodologies