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Data Science Project Intern; TikTok Shop-Supply Chain & Logistics BS​/MS Seattle

Job in Seattle, King County, Washington, 98127, USA
Listing for: Ellis Technologies, Inc.
Apprenticeship/Internship position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 37789 - 53821 USD Yearly USD 37789.00 53821.00 YEAR
Job Description & How to Apply Below
Position: Data Science Project Intern (TikTok Shop-Supply Chain & Logistics) - 2026 Start (BS/MS) Seattle[...]

Data Science Project Intern (Tik Tok Shop‑Supply Chain & Logistics) – 2026 Start (BS/MS)

Location: Seattle

Employment Type: Intern

Job Code: A83347

About the Team

We are part of the Global Logistics team, focusing on data‑driven insights and analytics solutions that drive business growth and operational excellence in Tik Tok’s global e‑commerce logistics operations. The team helps improve efficiency and the overall user and seller experience on Tik Tok Shop.

Responsibilities
  • Data Operations: Collect, sort, and process daily data to support business communications such as weekly meetings. Monitor weekly and bi‑weekly operations, analyze results with basic statistics, and ensure timely and accurate data delivery.
  • Data Products: Participate in designing and processing logistics operation indicators to enhance the data indicator system, assist in building analysis dashboards, and contribute to discussions on optimizing data product functions for better tool practicality.
  • Special Analysis: Write regular and special data analysis reports, conduct in‑depth analysis of data changes, and provide insights for operation optimization and decision‑making.
  • Other Temporary Support: Respond to temporary data needs, provide targeted analysis content, and help solve sudden business data problems.
  • Minimum Qualifications
    • Currently pursuing an undergraduate or master’s degree in Logistics and Supply Chain Management, Operations Research, Mathematics, Statistics, Computer Science, or a related field.
    • Proven experience in data analysis, such as course projects, research projects, or previous internship experience.
    • Knowledge of SQL; priority given to those who also understand Python or R.
    Preferred Qualifications
    • Internship or project experience in supply‑chain, logistics, or consulting‑industry‑related analysis.
    • Participation in data‑analysis‑related research projects, competitions, or other relevant achievements.
    • Understanding of e‑commerce or online marketplaces.
    • Proven communication skills and teamwork spirit, and ability 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 at

    Job Information

    The hourly rate range for this position in Seattle is $33.25-$33.25.

    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 the first half of the year, 40 hours if hired in the second half). Interns who are not working 100% remote may also be eligible for a housing allowance.

    The company reserves the right to modify or change these benefits programs at any time, with or without notice.

    Legal Disclaimers

    Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. The history of a criminal record may impact the following job duties, potentially resulting in the withdrawal of a conditional offer of employment:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  • Appropriately handling and managing confidential information, including proprietary and trade secret information and access to information technology systems;
  • Exercising sound judgment.
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