Data Scientist Intern (Global LIVE Operation Intelligence) - 2026 Start (BS/MS)

TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business.
Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.

Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.

Successful candidates must be able to commit to either of the following Internships

• From January to June (onboard by 12 Jan 2026)
• From May to August (onboard by 11 May 2026)

Responsibilities

• Drive understanding of product usage and user behavior in the field of Live ecosystem.
• Support strategic planning and execution for long term business plans through in-depth analysis.
• Design and establish indicator systems for platform growth and risks, monitor and optimize coverage in each link, measure the performance of platform strategies and facilitate decision-making.

Qualifications

Minimum Qualifications

• Postgraduate who is currently pursuing a Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or a related technical discipline.
• Working level competency in one or more programming languages including SQL and Python are required. Understanding of ML models and how they can be leveraged to act upon a range of content and safety risks.
• Collaborative, data-driven, ownership, communication, analytical mindset

Preferred Qualification

• Previous work experience in quantitative analysis with relevant degree / experience is a plus

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 [email protected]