Applied Research Scientist - Trust and Safety

• Conduct Mixed-Methods Research on Complex Safety Problems:
• Lead end-to-end research initiatives, from problem framing and hypothesis development to analysis, validation, and recommendations.
• Apply quantitative methods including statistical analysis, experimentation, causal inference, and modeling to identify trends, measure impact, and evaluate interventions.
• Apply qualitative methods including user research, case analysis, stakeholder interviews, and ecosystem research to understand behaviors, motivations, and emerging risks.
• Develop research frameworks to measure safety outcomes, policy effectiveness, enforcement quality, and user impact.
• Translate Research into Policy and Safety Insights:
• Analyze large-scale behavioral, operational, and enforcement data to uncover risk patterns and opportunities for intervention.
• Investigate the underlying drivers behind quantitative signals through qualitative evidence and domain understanding.
• Partner with Policy teams to evaluate existing policies, identify gaps, and provide evidence-based recommendations for policy evolution.
• Assess the effectiveness and unintended consequences of safety interventions, balancing enforcement goals, user experience, and ecosystem health.
• Translate complex findings into clear narratives and recommendations for stakeholders.
• Drive Research Excellence and Cross-Functional Impact:
• Partner with Product, Engineering, Operations, and Policy teams to influence safety strategy and decision-making.
• Build reusable research methodologies, measurement frameworks, and analytical approaches across T&S.
• Challenge assumptions and bring rigorous evidence into ambiguous, high-impact safety decisions.
• Contribute to raising research standards and capabilities across the T&S Data Science organization.
• 5+ years of experience in applied research, quantitative research, data science, behavioral science, social science, or related fields.
• Strong quantitative foundation in statistics, experimentation, causal inference, and analytical modeling.
• Experience applying qualitative research methods to understand human behavior, operational processes, or complex systems.
• Ability to combine multiple evidence sources to develop holistic understanding and actionable recommendations.
• Strong communication skills with the ability to influence technical and non-technical stakeholders.
• Experience in Trust & Safety, online platforms, fraud, abuse prevention, security, risk, or compliance domains.
• Experience partnering with policy teams or evaluating policy/intervention effectiveness.
• Experience researching adversarial behavior, online communities, or evolving ecosystem risks.

None flagged.