Data Science Project Intern (TikTok Shop-Supply Chain & Logistics) - 2026 Start (BS/MS)

About the Team
The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates.

You've seen the virality and impact of #TikTokMadeMeBuyIt. Come join the team that is helping scale that phenomenon, and pioneer Content & Creator commerce in the US. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the leading, on-trend commerce platform of choice for brands, creators, and shoppers. We are an entrepreneurial team, passionate about shaping the future of shopping.

As part of the Global Logistics team, the Logistics Data Science team is dedicated to driving business growth and operational excellence through data-driven insights and innovative analytics solutions. Supporting TikTok’s global e-commerce logistics operations, the team plays a critical role in enhancing efficiency and improving the overall user and seller experience. We are looking for passionate and analytical interns to join us in a fast-growing environment, where they will contribute to data analysis initiatives and help strengthen data capabilities across global logistics operations.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities:
1. Data Operations: Collect, sort and process daily data to support business communications like weekly meetings; assist in monitoring weekly and bi-weekly operations, sort and analyze results with basic statistics, ensuring timely and accurate data.
2. Data Products: Participate in designing and processing logistics operation indicators to improve the data indicator system; assist in building analysis dashboards, join discussions on optimizing data product functions to enhance tool practicality.
3. Special Analysis:Take part in writing regular and special data analysis reports, conduct in-depth analysis of data changes, and provide references for operation optimization and decision-making.
4. Other Temporary Support: Respond to temporary data needs, provide targeted analysis content, and assist in solving sudden business data problems.

Join us to work with an excellent team, access cutting-edge e-commerce logistics data business, improve professional skills and accumulate career experience.