Principal Data Scientist - Safety

📋 Description

• Establish and monitor prevalence measurement for harmful content.
• Develop and validate ground truth datasets for harmful UGC and violations.
• Explore threat landscapes; provide data-backed recommendations for safety priorities.
• Design and analyze experiments for moderation features; align with Product/Engineering/Policy.
• Apply causal inference to measure safety initiative impact.
• Communicate insights to leadership and cross-functional partners.

🎯 Requirements

• 10+ years in data science, economics, analytics, or ML engineering.
• 7+ years in Python or R and big data tools like SQL, Hive, Spark, Airflow.
• Knowledge of ML and Deep Learning via training or industry experience.
• Ability to apply first-principles reasoning to ambiguous problems.
• Experience building large-scale safety or moderation systems for UGC.
• Advanced degree/PhD in Statistics, CS, Physics, Applied Math, or Economics.

🎁 Benefits

• Equity compensation for full-time employees.
• Reasonable accommodations during recruiting.
• On-site schedule: Tue-Thu (optional Mon/Fri).
• Equal employment opportunities and non-discrimination policy.