Data Scientist Graduate (TikTok Shop AMS Data Science) - 2026 Start (BS/MS)

Responsibilities

The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning. This role for our US Operations team will be providing data solutions to E-commerce Operations teams to help solve interesting challenges for our Creator & Merchants.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.

Responsibilities:
- Provide actionable insights to drive business growth and enhance operational efficiency;
- Utilize data science expertise to design data solutions that address commerce operations and product challenges, such as supply growth, user growth, and marketplace efficiency;
- Collaborate closely with key stakeholders to optimize overall business performance and health;
- Recommend improvements that align with business goals.

Qualifications

Minimum Qualifications:
- Currently pursuing a (BS/MS) in quantitative fields such as statistics, engineering, economics, etc;
- Proficient in SQL, Python, or R, with expertise in at least one of the following areas: advanced measurement (e.g., causal inference or systems with complex trade-offs), modeling, or optimization;
- To succeed in this role, you must be proactive, self-driven, and impact-oriented;
- Ability to work with cross-functional teams in a fast-paced environment.

Preferred Qualifications:
- Previous experience in data science or a bachelor's degree majoring in a quantitative field, such as statistics, is preferred;
- Experience in e-commerce or online marketplaces is strongly preferred.

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

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $108300 - $168888 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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

For Los Angeles County (unincorporated) Candidates:

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. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.