Summary
TikTok is the leading destination for short-form mobile video, and they are seeking a Data Science Project Intern to join their Global Logistics team. The intern will engage in data analysis initiatives to support TikTok's e-commerce logistics operations and contribute to improving operational efficiency through data-driven insights.
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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
Benefits
- 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.