Data Scientist Intern (TikTok-Product-Data Science)-2026 Summer (PhD)

Team Introduction:
TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

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 as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below:

- May 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026

We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

Responsibilities:
- Define success metrics to measure product growth and identify problems through monitoring or forecasting
- Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations
- Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis
- Partner with Product, Engineering and cross-functional teams to influence and execute product strategy

Minimum Qualifications:
- Currently pursuing a PhD in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience
- Proficient in data querying languages and at least one scripting language (e.g. Python、R)
- Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods.
- Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well

Preferred Qualifications:
- Internship experience in data science