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.