Data Scientist, Transparency & Observability - Trust and Safety

TikTok Inc.; San Jose (CA); On-site; USD 179,000 - 354,000; Full time

Job summary

TikTok Inc. in San Jose is seeking a data-focused analytics professional to design and monitor Trust & Safety metrics across product lines.

You will build dashboards, implement anomaly detection, and collaborate with Product, Engineering, Policy, and Data teams to deliver reliable observability and data quality that informs strategic decisions. The role emphasizes turning complex data into actionable insights and shaping the safety roadmap.

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

• 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.
• 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 and understanding their impact on platform safety.
• 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

5+ years experience

SQL

Python or R

Data quality monitoring

Dashboard reporting

Analytical thinking

Education

Bachelor's degree in a quantitative discipline

Tools

Hive

Spark

Job description

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.

Qualifications

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.

Job Information

Compensation Description (annually)

The base salary range for this position in the selected city is $179200 - $353600 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.