Data Scientist: Trust & Safety Observability

TikTok; New York (NY); On-site; USD 179,000 - 354,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

Job summary

TikTok is seeking a Data Scientist for the Transparency & Observability team in New York to build scalable metrics, monitoring, and analytical solutions that enhance platform safety and reporting.

You will partner with Product, Engineering, Policy, Operations, and Data teams to drive data quality and insight-driven decisions, with opportunities to explore AI-powered monitoring and causal inference in a fast-growing tech environment.

Qualifications

• 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

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.

Skills

SQL

Python/R

Data quality monitoring

Metrics & dashboards

Analytical thinking

Communication skills

Education

Bachelor's degree in a quantitative field

Tools

Hive

Spark

Job description

TikTok is seeking a Data Scientist for the Transparency & Observability team in New York to build scalable metrics, monitoring, and analytical solutions that enhance platform safety and reporting.

You will partner with Product, Engineering, Policy, Operations, and Data teams to drive data quality and insight-driven decisions, with opportunities to explore AI-powered monitoring and causal inference in a fast-growing tech environment.