Data Scientist-TikTok Ads, Ads Interfaces

TikTok

San Jose, California, United States of America Posted October 26, 2026

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On-site Full-time Mid level
Job Description

About The Team:
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.

On the Ads Interfaces team, we aim to help businesses grow efficiently and inspire customers to fulfill their demand through providing reliable, highest standard, and core marketing solutions. To serve different types of businesses, we build various platforms, such as Ads Manager, Business Center, API (Application Programming Interface) and Customer Service System etc. As a data scientist on the team:

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our customers interact with our ads products
  • Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions
  • Collaborate with data engineering to build/maintain reports, dashboards, and metrics to monitor the performance of our products and identify insights
  • Mine massive amounts of data and extract useful product insights

Minimum Qualifications:

  • 3+ years experience doing quantitative analysis
  • BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields. Advanced degrees preferred but not required

Preferred Qualifications:

  • Experience building up a team or mentoring other DS is a plus
  • Experience on Ads Interfaces or working with advertisers or agencies is a plus
Required Skills
data science decision making customer service user research collaboration data engineering statistics mentoring
How to apply

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