Data Scientist, Transparency & Observability - Trust and Safety
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Key skills for this role
About the Role
TikTok's Trust & Safety team is seeking a Data Scientist to build metrics, monitoring, and analytical solutions for platform safety. Requires 5+ years experience in data science, strong SQL and Python skills.
Key Skills for This Role
Responsibilities
- Design and develop metrics that measure Trust & Safety enforcement across different products and content types
- Build dashboards and monitoring solutions providing actionable insights into platform safety
- Develop automated anomaly detection and alerting to identify data or operational issues early
- 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
- Work closely with Product, Engineering, Policy, Operations, and Data teams to build trusted measurement frameworks
- Turn complex data into clear insights supporting strategic decisions
Requirements
- 5+ years of experience in Data Science, Data Analytics, Data Engineering, or related quantitative field
- Strong SQL skills and experience 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 ability to communicate technical concepts clearly
- Bachelor's degree or above in quantitative discipline (Statistics, Computer Science, Mathematics, Engineering, or Economics)
Full Job Posting
Global Operations
- TikTok's Trust & Safety team works to create a safe and trusted platform for billions of people.
- The Transparency & Observability Data Science team builds data, metrics, and analytical capabilities for enforcement systems.
Responsibilities
- 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.
- 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.
- 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.
- 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 Qualifications
- 5+ years of experience in Data Science, Data Analytics, Data Engineering, or related quantitative field.
- Strong SQL skills and experience 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 ability to communicate technical concepts clearly.
- Bachelor's degree or above in quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, or Economics.
Preferred Qualifications
- 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.
Job Information
- Content that this role interacts with includes images, video, and text related to everyday life, but can also include bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals.
- This role may be exposed to harmful content on a daily basis.
- TikTok is committed to the wellbeing of all employees and provides comprehensive programs to support physical and mental wellbeing.
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