Applied Research Scientist - Trust and Safety

Responsibilities: Lead end-to-end mixed-methods research on complex safety problems Apply quantitative methods: statistics, experimentation, causal inference, modeling Apply qualitative methods: user research, stakeholder interviews, ecosystem analysis Develop research frameworks to measure safety outcomes and policy effectiveness Analyze large-scale behavioral and enforcement data to identify risk patterns Investigate drivers behind quantitative signals using qualitative evidence Partner with Policy to evaluate policies and provide evidence-based recommendations Assess effectiveness and unintended consequences of safety interventions Translate findings into clear narratives for stakeholders Collaborate with Product, Engineering, Operations, and Policy to influence safety strategy Build reusable methodologies and measurement frameworks across Trust & Safety

Key requirements: 5+ years in applied research, quantitative research, data science, behavioral or social sciences Strong foundation in statistics, experimentation, causal inference, and analytical modeling Experience applying qualitative research to understand human behavior or complex systems Ability to synthesize multiple evidence sources into actionable recommendations Strong communication skills to influence technical and non-technical stakeholders excellent communication collaboration and cross-functional teamwork critical thinking and analytical rigor statistics experimentation causal inference