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Data Scientist - TikTok PGC Sports; San Jose

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Ellis Technologies, Inc.
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 136800 - 292600 USD Yearly USD 136800.00 292600.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist - TikTok PGC Sports (San Jose)

Data Scientist - Tik Tok PGC Sports (San Jose)

Location:

San Jose

Employment Type:

Regular

Job Code: A66698

Job Information

The base salary range for this position in the selected city is $136,800 - $292,600 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

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.

Responsibilities
  • Conduct end-to-end data analysis across content and product for the relevant business, uncover supply/demand dynamics, user behaviors and the creator ecosystem, identify growth opportunities, and drive business impact.
  • Design and build the core metrics framework and data systems to improve data-driven decision efficiency.
  • Partner with Product/Operations/Algorithm/Engineering to improve recommendation and distribution efficiency, optimize user experience, and drive strategy execution.
  • Design and analyze A/B tests, and causal inference; evaluate product features, strategies, and trends operations; perform core metric anomaly analysis and root-cause diagnosis.
  • Validate hypotheses and identify product growth opportunities through analyses, experiments, or other scientific methods, and influence directions for improvement.
Qualifications

Minimum Qualifications
  • Bachelor’s degree or above in Data Science, Statistics, Econometrics, Mathematics, Computer Science, or related fields; 3+ years of experience in data analysis/data science.
  • Solid foundation in statistics and causal inference; proficient in A/B testing; strong quantitative analysis and impact evaluation skills.
  • Proficient in SQL; expert in Python or R; capable of data processing, modeling, and visualization.
  • Practical experience in recommend systems/content distribution/growth strategies; experience in sports or content products is a plus.
  • Strong structured thinking and business abstraction; able to quickly understand the sports business and connect business nuances with data.
Preferred Qualifications
  • Excellent communication, collaboration, and project management skills; able to drive cross-functional execution effectively.
  • Experience in overseas market analysis or cross-region collaboration is a plus.
  • Strong curiosity and self-drive; resilient; ownership mindset with positive team influence.
Fair Chance Statement

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.

Accommodation

Tik Tok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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