Data Scientist - Multimedia
TikTok
San Jose, CA · Posted November 13, 2026
Just laid off? Start here: a plan for the first weeks
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November 2026
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Pay compared with the market
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.
Listed pay is what employers advertise, not what people are paid.
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
Team Introduction The Multimedia Data Scientist team at TikTok focuses on optimizing the app experience for users through data-driven solutions. Collaborating with various teams to enhance content creation journeys, utilizing statistical models and data mining techniques to identify opportunities for personalized user publishing experiences.
Responsibilities - Develop the experience metric system and the corresponding monitoring capability across different stages of creation - Conduct experimentation, define launch standards and provide suggestions on experiment iterations - Quantify the impact of creation tool performance on user behavior, such as publish rate, retention, and engagement - Use data mining for understanding user needs and build models that enable personalized publishing experience - Work with various partners on landing solutions that meet the needs for evolving products - Build systemic problem solving capability and research on cutting-edge methodologies
Minimum Qualifications - Experience in data science roles, preferably working on mobile application performance analysis and user experience optimization - Experience working with creation-oriented user behavior - Proficient in SQL and Python; experience with big data tools such as Hive or Spark. - Strong background in A/B testing, metric design, and causal inference.
Preferred Qualifications - Experience within the entertainment industry, streaming, social applications - Experience working in a fast-paced environment with rapid product iterations