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Data Scientist, Transparency & Observability - Trust and Safety
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- 5+ years in Data Science, Data Analytics, Data Engineering, or a related quantitative field.
- Education
- Bachelor's degree or above in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, or Economics.
About the job
Develop metrics, monitoring, and analytical solutions to assess Trust & Safety enforcement, improve data quality, and support transparency reporting and platform safety decisions.
What you'll do
- Build enforcement metrics, dashboards, anomaly detection, and alerting for platform safety.
- Investigate data issues and partner with Engineering to improve data reliability and governance.
- Work across teams to develop measurement and transparency approaches, analyze risks, and explore AI-powered model monitoring.
What they ask for
- Strong SQL skills and experience with large-scale data platforms (e.g. Hive, Spark).
- Proficiency in Python or R.
- Experience building data quality monitoring, reporting, or observability solutions, and designing metrics and dashboards.
- Bachelor's degree or above in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, or Economics.
Nice to have
- Experience in Trust & Safety, content moderation, risk management, or regulatory reporting.
- Familiarity with transparency reporting requirements such as DSA or other regulatory frameworks.
Tools
SQL, Hive, Spark, Python, R
AI focus
Explore AI-powered solutions for monitoring model performance and understanding their impact on platform safety.
Model-written summary · the original posting is authoritative