Data Scientist, Transparency & Observability - Trust and Safety
Sep 17, 2026 New York
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
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.
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
[For Pay Transparency] 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.
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.
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.
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
[For Pay Transparency] 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.
Responsibilities
ResponsibilitiesTikTok'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.
Qualifications
QualificationsMinimum 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.
Additional Information
- Job category: Operations
- Salary: $179,200 – $353,600
- Posted: Sep 17, 2026