TikTok
Data Scientist, Transparency & Observability - Trust and Safety
New York, New York · 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, automated anomaly detection, and alerting.
- Investigate data quality issues and partner with engineering to improve data reliability and governance.
- Collaborate across teams on measurement and transparency reporting, and explore AI-powered monitoring of model performance and impact.
What they ask for
- Strong SQL skills and experience with large-scale data platforms such as Hive or 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.
- Experience with anomaly detection, experimentation, causal inference, or time-series analysis.
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