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TikTok

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

SeattlePosted May 28, 2026

Apply on company site View full job

Responsibilities

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.

Qualifications

Minimum Qualifications:
- Currently Pursuing an Undergraduate/Master in Logistics and Supply Chain Management, Operations Research, Mathematics, Statistics, Computer Science, or related fields
- Proven experience in data analysis. Those with data analysis experience in course projects, research projects, or internship experiences are preferred;
- Knowledge of SQL, and priority will be given to those who understand Python or R;

Preferred Qualifications:
- Internship or project experience in supply chain, logistics, or consulting industry-related analysis;
- Participated in data analysis-related research projects, competitions, or have relevant achievements are preferred;
- Understanding of e-commerce or online marketplaces;
- Proven communication skills and teamwork spirit, and be able to collaborate with different teams in a fast-paced environment.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Currently Pursuing an Undergraduate/Master in Logistics and Supply Chain Management, Operations Research, Mathematics, Statistics, Computer Science, or related fields
- Proven experience in data analysis. Those with data analysis experience in course projects, research projects, or internship experiences are preferred;
- Knowledge of SQL, and priority will be given to those who understand Python or R;

Preferred Qualifications:
- Internship or project experience in supply chain, logistics, or consulting industry-related analysis;
- Participated in data analysis-related research projects, competitions, or have relevant achievements are preferred;
- Understanding of e-commerce or online marketplaces;
- Proven communication skills and teamwork spirit, and be able to collaborate with different teams in a fast-paced environment.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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