Data Scientist II – Trust & Safety

Responsibilities

• Lead end-to-end research and measurement projects that evaluate the safety of new and existing features
• Design data for product risk assessments, stress tests, and evaluation of AI‑powered features
• Develop longitudinal trust and safety metrics to evaluate the effectiveness of product interventions
• Translate complex research findings into clear narratives, tools, and recommendations
• Partner with product safety specialists, policy advisors, and engineering counterparts
• Build and improve evaluation methods in collaboration with data scientists and engineers

• 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain
• experienced with SQL and Python
• hands‑on familiarity with modern AI and machine learning systems
• comfortable scoping ambiguous problems, prioritizing in a fast‑moving environment
• communicate clearly with both technical and non‑technical audiences
• care about turning research into practice and making evidence‑based recommendations
• thoughtful perspective on responsible product innovation and measuring platform safety