Data Scientist, Transparency & Observability - Trust and Safety

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.Minimum Qualification(s):- 5+ years of experience in Data Science, Data Analytics, Data Engineering, or a related quantitative field.- Strong SQL skills and experience working with large-scale data platforms (e.g. Hive, Spark).- Proficiency in Python or R.- Experience building data quality monitoring, reporting, or observability solutions.- Experience designing metrics and developing dashboards or reporting tools.- Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly.- Bachelor's degree or above in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, or Economics.Preferred Qualification(s):- Experience in Trust & Safety, content moderation, risk management, or regulatory reporting.- Experience building end-to-end monitoring or observability platforms.- Familiarity with transparency reporting requirements such as DSA or other regulatory frameworks.- Experience with anomaly detection, experimentation, causal inference, or time-series analysis.- Experience driving data quality initiatives at scale.- Experience working with global cross-functional teams.- Passion for using data to improve online safety.Req ID: A131083B