Data Scientist Intern (-Product-Data Science-Summer; BS​/MS) San Jose, CA

Data Scientist Intern (Tik Tok-Product-Data Science)-2026 Summer (BS/MS)

job  Jose, CA.

Team Introduction:
Tik Tok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in Tik Tok, 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 Tik Tok 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 Tik Tok 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).

• 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

• Currently pursuing a Bachelor's, or Master's degree 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

• Internship experience in data science

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $35- $35. Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).

Interns who are not working 100% remote may also be eligible for housing allowance. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information…