Principal Data Scientist - Safety

📋 Description Establish and monitor robust prevalence measurement methodologies to accurately quantify the Develop and validate comprehensive ground truth datasets for harmful UGC and violative on-platform Deepen our understanding of violations by conducting exploratory analysis on current and emerging Design, implement, and analyze sophisticated experiments for new moderation and safety enforcement Leverage advanced causal inference methodologies to accurately measure the effectiveness and Communicate strategic insights and present recommendations to leadership and all cross-functional 🎯 Requirements 10+ years of industry experience in data science, economics, analytics, or machine learning 7+ years of experience using scripting languages (Python, R), and big data query/processing Knowledge of ML and Deep Learning either via formal training or industry experience Ability to apply creative first-principles reasoning to solve ambiguous problems Experience developing large-scale safety or moderation systems as well as experience with content Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or