Job Description

Team Introduction:

We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science.

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

Internships at Our Company aims 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.

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 Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates:

May 11th, 2026

May 18th, 2026

May 26th, 2026

June 8th, 2026

June 22nd, 2026

Responsibilities:

- Work with large and complex data sets to solve a wide array of challenging problems using different analytical methods

- Design, analyze, and interpret insights end-to-end on a project from data requirement gathering to data processing, modeling, and impactful business recommendations

- Partner with cross-functional teams to identify new opportunities requiring the use of sophisticated analytical and modeling techniques

- Design, execute, and interpret results of experiments (e.g., A/B testing)

- Effectively communicate insights and recommendations to team leadership and influence strategic decision-making