Data Scientist, Transparency & Observability - Trust and Safety
TikTok, New York
About the job
TikTok's Trust & Safety team works to create a safe and trusted platform for billions of people around the world. We combine policy, technology, and operations to detect harmful content, protect users, and promote healthy online communities.
The Transparency & Observability Data Science team builds the data, metrics, and analytical capabilities that help us understand how our enforcement systems perform. Our work supports both internal decision-making and external transparency reporting, while improving the reliability, explainability, and quality of Trust & Safety data.
As a Data Scientist on this team, you will develop scalable metrics, monitoring systems, and analytical solutions that provide greater visibility into platform safety and help drive continuous improvements.
Responsibilities
- Build Trust & Safety Metrics & Monitoring:
- Design and develop metrics that measure Trust & Safety enforcement across different products and content types.
- Build dashboards and monitoring solutions that provide actionable insights into platform safety.
- Develop automated anomaly detection and alerting to identify data or operational issues early.