Data Science Project Intern (TikTok Shop-Supply Chain & Logistics) - 2026 Start (BS/MS)
About the role
The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies. 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.
About the Team
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.
Responsibilities
- 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.
- 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.
- 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.
- Other Temporary Support: Respond to temporary data needs, provide targeted analysis content, and assist in solving sudden business data problems.
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.
Job Information
[For Pay Transparency] Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $33.25- $33.25. 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.