Data Scientist - Trust & Safety
Aug 27, 2026 Singapore
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
About the team
The mission of data science is to help Trust & Safety make many good decisions using data. As a member of our team, you are instrumental in ensuring that we use data to keep our users and community safe. You will help scope out projects, ideate on new strategies, and most importantly, use data to find insights, diagnose problems and tell compelling stories. You will partner with a variety of stakeholders across operations, policy, product and engineering teams - both locally and globally.
Responsibilities
- Work with large and complex data sets to support project execution and strategic planning
- Design and monitor core metrics; perform root cause analysis to explain drivers
- Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations and overseeing the macro direction of the business
- Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough
- Use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents
- Develop metrics and visualization tools to evaluate risks of the platform and the impact of safety strategies
Qualifications
Minimum Qualification(s)
- 5+ years of experience in data science, analytics or quantitative analysis
- Experience working with SQL, ETL, R/Python, Tableau, Excel
- Experience building data infrastructure and implementing reporting solutions
- Experience with creating data visualizations to communicate metric performance
- Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Build evaluation systems for outputs to minimise error and bias and identify root causes such as limitations with model's training data / context window.
- Ability to solve problems using quantitative approaches; strong communication skills to communicate complex concepts and analytical results across technical and non-technical audiences to drive business impact
- Degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering)
Preferred Qualification(s)
- Experience of working in online content platforms, Trust & Safety or risk management
- Experience working with international partners in different time zones
- Demonstrated experience using AI tools and emerging technologies to generate insights, improve workflows and develop new capabilities
- Passion for social technology products and a curiosity to learn and grow with a fast paced company
About the team
The mission of data science is to help Trust & Safety make many good decisions using data. As a member of our team, you are instrumental in ensuring that we use data to keep our users and community safe. You will help scope out projects, ideate on new strategies, and most importantly, use data to find insights, diagnose problems and tell compelling stories. You will partner with a variety of stakeholders across operations, policy, product and engineering teams - both locally and globally.
Responsibilities
- Work with large and complex data sets to support project execution and strategic planning
- Design and monitor core metrics; perform root cause analysis to explain drivers
- Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations and overseeing the macro direction of the business
- Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough
- Use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents
- Develop metrics and visualization tools to evaluate risks of the platform and the impact of safety strategies
Minimum Qualification(s)
- 5+ years of experience in data science, analytics or quantitative analysis
- Experience working with SQL, ETL, R/Python, Tableau, Excel
- Experience building data infrastructure and implementing reporting solutions
- Experience with creating data visualizations to communicate metric performance
- Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Build evaluation systems for outputs to minimise error and bias and identify root causes such as limitations with model's training data / context window.
- Ability to solve problems using quantitative approaches; strong communication skills to communicate complex concepts and analytical results across technical and non-technical audiences to drive business impact
- Degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering)
Preferred Qualification(s)
- Experience of working in online content platforms, Trust & Safety or risk management
- Experience working with international partners in different time zones
- Demonstrated experience using AI tools and emerging technologies to generate insights, improve workflows and develop new capabilities
- Passion for social technology products and a curiosity to learn and grow with a fast paced company
About the team
The mission of data science is to help Trust & Safety make many good decisions using data. As a member of our team, you are instrumental in ensuring that we use data to keep our users and community safe. You will help scope out projects, ideate on new strategies, and most importantly, use data to find insights, diagnose problems and tell compelling stories. You will partner with a variety of stakeholders across operations, policy, product and engineering teams - both locally and globally.
Responsibilities
- Work with large and complex data sets to support project execution and strategic planning
- Design and monitor core metrics; perform root cause analysis to explain drivers
- Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations and overseeing the macro direction of the business
- Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough
- Use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents
- Develop metrics and visualization tools to evaluate risks of the platform and the impact of safety strategies
Qualifications
Minimum Qualification(s)
- 5+ years of experience in data science, analytics or quantitative analysis
- Experience working with SQL, ETL, R/Python, Tableau, Excel
- Experience building data infrastructure and implementing reporting solutions
- Experience with creating data visualizations to communicate metric performance
- Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Build evaluation systems for outputs to minimise error and bias and identify root causes such as limitations with model's training data / context window.
- Ability to solve problems using quantitative approaches; strong communication skills to communicate complex concepts and analytical results across technical and non-technical audiences to drive business impact
- Degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering)
Preferred Qualification(s)
- Experience of working in online content platforms, Trust & Safety or risk management
- Experience working with international partners in different time zones
- Demonstrated experience using AI tools and emerging technologies to generate insights, improve workflows and develop new capabilities
- Passion for social technology products and a curiosity to learn and grow with a fast paced company
Responsibilities
ResponsibilitiesAbout the team
The mission of data science is to help Trust & Safety make many good decisions using data. As a member of our team, you are instrumental in ensuring that we use data to keep our users and community safe. You will help scope out projects, ideate on new strategies, and most importantly, use data to find insights, diagnose problems and tell compelling stories. You will partner with a variety of stakeholders across operations, policy, product and engineering teams - both locally and globally.
Responsibilities
- Work with large and complex data sets to support project execution and strategic planning
- Design and monitor core metrics; perform root cause analysis to explain drivers
- Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations and overseeing the macro direction of the business
- Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough
- Use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents
- Develop metrics and visualization tools to evaluate risks of the platform and the impact of safety strategies
Qualifications
QualificationsMinimum Qualification(s)
- 5+ years of experience in data science, analytics or quantitative analysis
- Experience working with SQL, ETL, R/Python, Tableau, Excel
- Experience building data infrastructure and implementing reporting solutions
- Experience with creating data visualizations to communicate metric performance
- Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on. Build evaluation systems for outputs to minimise error and bias and identify root causes such as limitations with model's training data / context window.
- Ability to solve problems using quantitative approaches; strong communication skills to communicate complex concepts and analytical results across technical and non-technical audiences to drive business impact
- Degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering)
Preferred Qualification(s)
- Experience of working in online content platforms, Trust & Safety or risk management
- Experience working with international partners in different time zones
- Demonstrated experience using AI tools and emerging technologies to generate insights, improve workflows and develop new capabilities
- Passion for social technology products and a curiosity to learn and grow with a fast paced company
Additional Information
- Job category: Operations
- Posted: Aug 27, 2026