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TikTok Shop - Data Scientist - AI

Yesterday San Jose, CA

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.

We are hiring a Data Scientist with strong hands-on experience in AI/LLM-powered systems to join our AI Enablement & Innovation team. This role will design and deploy scalable AI solutions that power internal DS enablement resources and high-impact, business-facing applications across horizontal domains.

Beyond execution, this role is expected to help shape our internal AI strategy, influencing architectural decisions, technical standards, and long-term direction for how AI systems are built and scaled across the organisation. As the team grows, there will be opportunities to expand into broader technical leadership.

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What you will do?
- Design and deploy agentic workflows leveraging LLMs and modern AI architectures
- Build and productionise AI systems and enablement resources for the global DS organisation
- Develop scalable AI-enabled applications that augment decision-making across multiple business teams
- Contribute to defining the strategic roadmap for AI systems, architecture, and platform integration
- Establish evaluation, observability, and governance standards for AI systems
- Partner closely with Data Science, Data Engineering, Business, and Platform teams
- Drive initiatives end-to-end from concept to production with strong product thinking

Qualifications

Minimum Qualifications:
- Bachelor and above degree in Mathematics, Statistics, Computer Science, or Analytics;
- At least 5 years of experience in Data Science/Applied ML with deep hands-on AI experience;
- To succeed in the role, you need to be a proactive, self-driven and impact-driven person;
- Proven ability to independently lead complex, cross-functional technical initiatives;
- Strong communication skills and stakeholder engagement capability.

Preferred Qualifications:
- Advanced Degree (MS, PhD.) in Mathematics, Statistics, Analytics, etc.
- Strong Expertise in LLM systems, agentic orchestration frameworks, and model evaluation;
- Experience integration AI systems with structured data platforms;
- Entrepreneurial mindset and comfort operating in ambiguous, fast-moving environments.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $219000 - $374400 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.

Client-provided location(s): San Jose, CA
Job ID: TikTok-7610259208419821829
Employment Type: OTHER
Posted: 2026-04-02T21:24:06

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Life Insurance
    • Fitness Subsidies
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Pet-friendly Office
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Company Equity
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Mentor Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)

Company Videos

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