Senior Research Scientist, Experience Analytics

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Computing, Customer Experience, Customer/Client Research, Data Analysis, Data Modeling, Data Science, Futures, Investment Strategy, Leadership, Mentoring, Metrics, Pattern Analysis, Predictive Modeling, Product Strategy, Scientific Research, Technical Research, Testing
LOCATION
Seattle, WA
POSTED
30+ days ago

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.

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 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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles