Data Science Intern (TikTok Integrity and Safety) - 2027 Summer
Aug 4, 2026 San Jose
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
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 us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities
- Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents;
- Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions;
- Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans;
- Participate in data cleaning and preprocessing work to ensure data quality and provide reliable data foundation for risk analysis;
- Assist in generating data visualization reports and monitoring dashboards to help teams intuitively understand risk situations and strategy effectiveness;
- Learn and apply data analysis methodologies, participate in the accumulation of analytical frameworks and tools, enhancing both personal and team analytical capabilities.
Qualifications
Minimum Qualifications
- Currently pursuing a Undergraduate/ Master's in Data Science or a related Data Science discipline.
- Familiar with common statistical analysis methods, proficient in SQL, Python/R, and other programming languages, with preference for those with data processing and analysis experience.
- Excellent logical thinking, strong problem analysis and solving skills, good communication and collaboration abilities, passionate about challenges.
- Enthusiastic about security risk analysis work and believing in the value of data-driven decisions.
- Able to commit to working for at least 12 weeks
Preferred Qualifications
- Good communication skills, team spirit, and proactive attitude.
- Understanding of machine learning, causal inference, A/B testing methods and principles, with preference for those with internship experience in internet companies.
- Ability to quickly learn new knowledge and skills, passionate about solving complex problems.
- Detail-oriented, responsible, with high awareness of data security and privacy protection.
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 us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities
- Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents;
- Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions;
- Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans;
- Participate in data cleaning and preprocessing work to ensure data quality and provide reliable data foundation for risk analysis;
- Assist in generating data visualization reports and monitoring dashboards to help teams intuitively understand risk situations and strategy effectiveness;
- Learn and apply data analysis methodologies, participate in the accumulation of analytical frameworks and tools, enhancing both personal and team analytical capabilities.
Minimum Qualifications
- Currently pursuing a Undergraduate/ Master's in Data Science or a related Data Science discipline.
- Familiar with common statistical analysis methods, proficient in SQL, Python/R, and other programming languages, with preference for those with data processing and analysis experience.
- Excellent logical thinking, strong problem analysis and solving skills, good communication and collaboration abilities, passionate about challenges.
- Enthusiastic about security risk analysis work and believing in the value of data-driven decisions.
- Able to commit to working for at least 12 weeks
Preferred Qualifications
- Good communication skills, team spirit, and proactive attitude.
- Understanding of machine learning, causal inference, A/B testing methods and principles, with preference for those with internship experience in internet companies.
- Ability to quickly learn new knowledge and skills, passionate about solving complex problems.
- Detail-oriented, responsible, with high awareness of data security and privacy protection.
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 us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities
- Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents;
- Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions;
- Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans;
- Participate in data cleaning and preprocessing work to ensure data quality and provide reliable data foundation for risk analysis;
- Assist in generating data visualization reports and monitoring dashboards to help teams intuitively understand risk situations and strategy effectiveness;
- Learn and apply data analysis methodologies, participate in the accumulation of analytical frameworks and tools, enhancing both personal and team analytical capabilities.
Qualifications
Minimum Qualifications
- Currently pursuing a Undergraduate/ Master's in Data Science or a related Data Science discipline.
- Familiar with common statistical analysis methods, proficient in SQL, Python/R, and other programming languages, with preference for those with data processing and analysis experience.
- Excellent logical thinking, strong problem analysis and solving skills, good communication and collaboration abilities, passionate about challenges.
- Enthusiastic about security risk analysis work and believing in the value of data-driven decisions.
- Able to commit to working for at least 12 weeks
Preferred Qualifications
- Good communication skills, team spirit, and proactive attitude.
- Understanding of machine learning, causal inference, A/B testing methods and principles, with preference for those with internship experience in internet companies.
- Ability to quickly learn new knowledge and skills, passionate about solving complex problems.
- Detail-oriented, responsible, with high awareness of data security and privacy protection.
Responsibilities
ResponsibilitiesJoin 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 us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities
- Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents;
- Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions;
- Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans;
- Participate in data cleaning and preprocessing work to ensure data quality and provide reliable data foundation for risk analysis;
- Assist in generating data visualization reports and monitoring dashboards to help teams intuitively understand risk situations and strategy effectiveness;
- Learn and apply data analysis methodologies, participate in the accumulation of analytical frameworks and tools, enhancing both personal and team analytical capabilities.
Qualifications
QualificationsMinimum Qualifications
- Currently pursuing a Undergraduate/ Master's in Data Science or a related Data Science discipline.
- Familiar with common statistical analysis methods, proficient in SQL, Python/R, and other programming languages, with preference for those with data processing and analysis experience.
- Excellent logical thinking, strong problem analysis and solving skills, good communication and collaboration abilities, passionate about challenges.
- Enthusiastic about security risk analysis work and believing in the value of data-driven decisions.
- Able to commit to working for at least 12 weeks
Preferred Qualifications
- Good communication skills, team spirit, and proactive attitude.
- Understanding of machine learning, causal inference, A/B testing methods and principles, with preference for those with internship experience in internet companies.
- Ability to quickly learn new knowledge and skills, passionate about solving complex problems.
- Detail-oriented, responsible, with high awareness of data security and privacy protection.
Additional Information
- Posted: Aug 4, 2026