Research Scientist III, AWS Security

AmazonNashville, TN
$151,200 - $215,300Onsite

About The Position

AWS Security is seeking a Research Scientist to apply rigorous quantitative methods to problems at the intersection of cloud security and customer experience. In this role, you will design and conduct large-scale research studies—leveraging advanced statistical modeling, survey research, and behavioral science—to surface actionable insights. You will spend your time designing research instruments, analyzing complex multi-source datasets, iterating on quantitative models, and presenting findings to senior leaders. You will collaborate with program managers, engineers, and strategists to connect research insights to real-world customer outcomes.

Requirements

  • PhD, or Master's degree and 5+ years of quantitative field research experience
  • Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
  • Experience in delivering end-to-end customer research studies, including study design, fieldwork (qualitative research moderation and survey execution), analysis, recommendations, reporting and presentation of results to senior leadership
  • 3+ years of relevant research experience applying structural equation modeling (SEM), factor analysis, or latent variable modeling to real-world measurement problems

Nice To Haves

  • Experience communicating qualitative research methods and findings to non-qualitative researchers
  • Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
  • PhD in Engineering, Technology, Science, Operations Research, Robotics, Mathematics, or related fields, or a Associate's degree or above and experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
  • Have peer-reviewed scientific contributions in premier journals and conferences
  • Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics
  • Prior work in customer perception modeling, brand trust research, customer experience measurement, or technology adoption research
  • Familiarity with longitudinal study design and panel data analysis

Responsibilities

  • Design and develop quantitative measurement models—including structural equation models (SEM) and latent variable frameworks—that map the relationships between security experiences and customer perception outcomes.
  • Define and validate customer perception constructs through confirmatory factor analysis, survey design, and large-scale data collection across diverse customer segments, including technical and non-technical decision-makers.
  • Extend existing scientific techniques and invent new approaches to address complex measurement challenges in the enterprise and emerging technology domain, including multi-stakeholder modeling, cross-segment analysis, and longitudinal study design.
  • Partner cross-functionally with security specialists, program managers, and customer teams to integrate data sources into a unified research program.
  • Establish baseline metrics and develop leading and lagging indicators that enable data-driven goal-setting and ongoing measurement of customer perception trends over time.
  • Ensure scientific rigor by documenting methodology, validating model fit using established statistical criteria, and maintaining reproducibility of results.

Benefits

  • 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
  • sign-on payments
  • restricted stock units (RSUs)
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