Senior Research Scientist, Experience Analytics

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

67% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Senior Research Scientist, Experience Analytics Seattle, Washington, USA 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

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