This listing does not state pay. Across 105 open data scientist listings that state pay, the middle half runs $130,500 to $207,500 and the median is $170,000.

Listed pay is what employers advertise, not what people are paid.

Data Scientist salaries by state · Check your own pay

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

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

The mission of TikTok Ads Platform is to connect all advertisers and users across the globe. Advertisers at all industries and experience levels will have access to suitable marketing solutions, and be able to easily create, manage and optimize advertisements. The vision is to build an easy-to-understand, easy-to-use, and powerful Ads Platform.

Our Vertical Solutions team aims to build out creative ads solutions for key business verticals. With tailored formats, objectives and metrics, the products need quantitative expertise and insight to, continuously evolve and better advertisers' asks. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.

In this role, you will: - Collaborate with amazing XFN teams to work on solutions for a variety of business verticals. - Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes. - Design and deep dive experimentation to validate hypothesis and drive product improvements with XFN teams. - Partner closely with key stakeholders to optimize overall product adoption and performance driven growth. Research customer journey and fulfill experience gap. - Work with data scientists across the organization to up level data-driven strategies.

Minimum Qualifications - 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience - Deep knowledge of experiment design and causal inference, strong analytical and reasoning mindset. Experience with ads system is a plus but not required. - Fluency in core set of Data Science - SQL/Hive, R/Python - ETL - Developing funnels & decomposing metrics variation

Preferred Qualifications: - Implementing visualizations, dashboards, and reports - Demonstrated track record of product leadership and ability to lead and influence teams. - Proven ability to succeed in an innovative and fast-paced environment.