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