Data Scientist Intern (TikTok Shop EMEA DS) - 2026 Summer (BS/MS)

Responsibilities

About the Team
The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize the performance and effectiveness of TikTok Shop.

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.

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).

Summer Start Dates
- June 8th, 2026
- June 22nd, 2026
- July 6th, 2026

Responsibilities:
1. Support the construction and continuous optimization of data infrastructure and analytical frameworks within the merchandise domain;
2. Responsible for daily statistical analysis of merchandise-related business data, coordinating resources for tracking and in-depth analysis of abnormal situations;
3. Assist analysts in Data Insight and Qualitative and Quantitative Analysis to quickly locate internal problems or find opportunities.

Qualifications

Minimum Qualifications:
1. Actively enrolled university student;
2. Bachelor degree or above, computer, statistics, mathematics and other related majors are preferred;
3. Skilled in SQL(with solid ability to write and optimize complex queries), EXCEL, Python, familiar with common data statistics and analysis methods.

Preferred Qualifications:
1. Good communication skills, teamwork spirit and initiative;
2. Good logical thinking ability, business interpretation ability and fast learning ability;
3. Sensitive to numbers, with a strong sense of responsibility, attention to detail, and love Data Analysis work.