Sr. Research Scientist, AWS Security

About the role

AWS Security is seeking a Research Scientist to apply rigorous quantitative methods to problems at the intersection of cloud security and customer experience. Key responsibilities include designing and conducting large-scale research studies, leveraging advanced statistical modeling, survey research, and behavioral science to surface actionable insights.

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.

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.

Qualifications

• 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.
• 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.

Skills

• Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows.
• Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics.
• Familiarity with longitudinal study design and panel data analysis.

Benefits

Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, and parental leave. For more information, visit here.