Data Scientist Graduate (TikTok-Search)-2026 Start (MS)
About this internship
TikTok is hiring a Data Scientist Graduate (TikTok-Search) role starting in 2026, based on site in San Jose, CA. This position is geared toward final-year MS students or recent MS graduates in a technical field such as Mathematics, Statistics, Economics, Computer Science, or Data Science (or equivalent practical experience). You’ll likely use data querying and scripting to analyze search-related questions and apply methods like forecasting, inference, classification, and A/B testing. The posted salary range is $114K–$178K per year.
Qualifications
Required
- final year MS or recent MS graduates in Mathematics, Statistics, Economics, Computer Science, Data Science or relevant technical field, or equivalent practical experience
- Proficient in data querying languages and at least one scripting language (e.g. Hive, Python, SQL, R)
- Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods, ab testing
Nice to have
- Comfort translating a loosely defined question into a measurable metric and a clear analysis plan.
- Experience communicating statistical results and trade-offs to both technical and non-technical audiences.
- Familiarity with experiment design details (e.g., guardrail metrics, sample size considerations, and interpreting results).
- Practice validating data quality and documenting assumptions, limitations, and potential sources of bias.
- Strong foundational understanding of probability and statistics to support causal and classification work.
How to stand out (TUN tip)
Before applying, prepare 1–2 concise project examples that show how you used SQL/Hive plus Python or R to answer a product or research question, and be ready to explain the metric, method (e.g., A/B test or causal inference), and decision impact. Review the role page and align your resume keywords with the listed methods (forecasting, inference, classification, A/B testing) without claiming tools you haven’t used.