Data Scientist Graduate (TikTok Platform Safety) - 2027 Start (PhD)
Aug 6, 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: 5,001 - 10,000 employees
- Industry: Entertainment & Gaming
Responsibilities
About the Team
Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Responsibilities:
- Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification.
- Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
- Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. Deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
- Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. Work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
- Continuously explore and summarize data analysis methodologies, and create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.
Qualifications
Minimum Qualifications:
- Currently pursuing a PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field, or equivalent practical experience.
- Proficient in data querying languages and at least one scripting language, such as Python, SQL, or R.
- Experience in one or more of the following methods: forecasting, statistical and causal inference, or classification methods.
- Strong product sense and structured thinking, with the ability to effectively convert analysis results into business decisions.
Preferred Qualifications:
- Internship experience in data science.
- Research experience in data science.
- Experience working with cross-functional teams.
About the Team
Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Responsibilities:
- Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification.
- Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
- Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. Deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
- Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. Work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
- Continuously explore and summarize data analysis methodologies, and create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.
Minimum Qualifications:
- Currently pursuing a PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field, or equivalent practical experience.
- Proficient in data querying languages and at least one scripting language, such as Python, SQL, or R.
- Experience in one or more of the following methods: forecasting, statistical and causal inference, or classification methods.
- Strong product sense and structured thinking, with the ability to effectively convert analysis results into business decisions.
Preferred Qualifications:
- Internship experience in data science.
- Research experience in data science.
- Experience working with cross-functional teams.
About the Team
Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Responsibilities:
- Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification.
- Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
- Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. Deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
- Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. Work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
- Continuously explore and summarize data analysis methodologies, and create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.
Qualifications
Minimum Qualifications:
- Currently pursuing a PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field, or equivalent practical experience.
- Proficient in data querying languages and at least one scripting language, such as Python, SQL, or R.
- Experience in one or more of the following methods: forecasting, statistical and causal inference, or classification methods.
- Strong product sense and structured thinking, with the ability to effectively convert analysis results into business decisions.
Preferred Qualifications:
- Internship experience in data science.
- Research experience in data science.
- Experience working with cross-functional teams.
Responsibilities
ResponsibilitiesAbout the Team
Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Responsibilities:
- Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification.
- Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
- Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. Deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
- Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. Work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
- Continuously explore and summarize data analysis methodologies, and create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.
Qualifications
QualificationsMinimum Qualifications:
- Currently pursuing a PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field, or equivalent practical experience.
- Proficient in data querying languages and at least one scripting language, such as Python, SQL, or R.
- Experience in one or more of the following methods: forecasting, statistical and causal inference, or classification methods.
- Strong product sense and structured thinking, with the ability to effectively convert analysis results into business decisions.
Preferred Qualifications:
- Internship experience in data science.
- Research experience in data science.
- Experience working with cross-functional teams.
Additional Information
- Posted: Aug 6, 2026