PR Data Science Project Intern (TikTok Platform Responsibility) - 2026 Start (BS/MS)
Posted 44 days ago
Job Description
This job posting has expired and no longer accepting applications.
TikTok's Data Scientist team is a critical component of the platform's success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Join our Data Science team to support content safety for a global platform. As an intern, you will work on real-world Trust & Safety problems and learn how data analysis informs responsible platform decisions at scale.
- Support data analysis related to content violations, user feedback, and account risk
- Assist in maintaining core metrics, dashboards, and basic monitoring, and help with preliminary issue investigation
- Participate in experiment analysis (e.g., A/B testing) and policy or strategy evaluation under guidance
-Conduct exploratory data analysis to identify risk patterns and potential optimization opportunities
-Develop automated solutions to accelerate insight generation and improve analysis efficiency
Minimum Qualifications:
- Background in Computer Science, Engineering, Business Analytics, or a related field.
- Strong Python programming skills, with experience in data analysis or modeling
- Currently pursuing a Master’s degree or in the final year of a Bachelor’s degree
- Able to commit at least 3 days per week, Minimum commitment of 3 months; 6 months preferred
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Join our Data Science team to support content safety for a global platform. As an intern, you will work on real-world Trust & Safety problems and learn how data analysis informs responsible platform decisions at scale.
- Support data analysis related to content violations, user feedback, and account risk
- Assist in maintaining core metrics, dashboards, and basic monitoring, and help with preliminary issue investigation
- Participate in experiment analysis (e.g., A/B testing) and policy or strategy evaluation under guidance
-Conduct exploratory data analysis to identify risk patterns and potential optimization opportunities
-Develop automated solutions to accelerate insight generation and improve analysis efficiency
Minimum Qualifications:
- Background in Computer Science, Engineering, Business Analytics, or a related field.
- Strong Python programming skills, with experience in data analysis or modeling
- Currently pursuing a Master’s degree or in the final year of a Bachelor’s degree
- Able to commit at least 3 days per week, Minimum commitment of 3 months; 6 months preferred
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
This job posting has expired and no longer accepting applications. Please check out our latest AI jobs.
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