This listing does not state pay. Across 75 open data scientist listings that state pay, the middle half runs $130,000 to $191,500 and the median is $154,000.

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TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science.

Responsibilities： 1. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. 2. Build and prototype analysis pipelines iteratively to provide insights at scale. 3. Develop comprehensive knowledge of TikTok data structures and metrics, advocating for changes where needed for product development. Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. 4. Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.

Minimum Qualifications: - Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, - Economics, Computer Science, Mathematics, Physics) or equivalent practical experience. - Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. - Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL)

Preferred Qualifications: - Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. - Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.