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.
- Improve Data Quality: - Help ensure Trust & Safety data is accurate, reliable, and delivered on time.
- Investigate data issues, identify root causes, and improve data quality processes.
- Partner with engineering teams to strengthen data reliability and governance.
- Partner Across Teams: - Work closely with Product, Engineering, Policy, Operations, and Data teams to build trusted measurement frameworks.
- Help create consistent and scalable approaches to transparency reporting and observability.
- Explore AI-powered solutions for monitoring model performance and understanding their impact on platform safety.
- Drive Business Impact: - Turn complex data into clear insights that support strategic decisions.
- Identify emerging risks and opportunities through data analysis.
- Contribute to the long-term roadmap for Trust & Safety observability and measurement.