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Data Scientist, Trust & Safety

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok USDS Joint Venture
Full Time position
Listed on 2026-09-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 144000 - 240000 USD Yearly USD 144000.00 240000.00 YEAR
Job Description & How to Apply Below

Responsibilities

At Tik Tok, we're committed to a process of continuous innovation and improvement in our user experience and safety controls. We're proud to be able to serve a global community of more than a billion people who use Tik Tok to creatively express themselves and be entertained, and we're dedicated to giving them a platform that builds opportunity and fosters connection.

We also take our responsibility to safeguard our community seriously, both in how we address potentially harmful content and how we protect against unauthorized access to user data.

Our US Data Security Safety team provides key support for Tik Tok’s innovative initiatives, state‑of‑the‑art products, and integrated platforms servicing our US market. As a Data Scientist on Tik Tok's US Data Security Safety Product team, you will be instrumental in ensuring that Tik Tok remains a safe, trustworthy, and risk‑free environment to create and enjoy content across all of our apps while protecting our brand.

The ideal candidate will have a background in a statistics and product analytics, will have experience working with large data sets, and will have some experience delivering data products on a fast‑paced team.

Responsibilities
  • Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US safety efforts
  • This individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and hearts
  • Be constantly curious and continue to pursue in‑depth explorations of our datasets and business
  • Conduct quantitative analysis, deliver insights, and influence US Safety decision making through understanding of user behavior and safety ecosystem
  • Design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on
  • Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis
  • Design and monitor core metrics; perform root cause analysis to explain drivers
  • Identify trends and opportunities to drive safety initiatives and create a healthy ecosystem for content creators, users, and consumers
  • Collect and provide quantitative and qualitative information to measure risk of feature/product launches and answer strategic business questions
Qualifications

Minimum Qualifications
  • Ph.D., M.S., or Bachelors degree in Computer Science, Data Science, Mathematics/Statistics or other STEM major is required
  • Minimum 2 years of industry experience in data science, data analytics, product analytics, quantitative analysis and machine learning experience to build ML‑driven products for solving business problems
  • Experience with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up
  • Experience in utilizing SQL/Python to extract, manipulate, and analyze datasets.
  • Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.
Preferred Qualifications
  • Your ability to work in a high tempo environment, adapt, respond to day‑to‑day challenges of the role.
  • Your resilience and commitment to self‑care to manage the emotional demands of the role.
  • Previous experience in data science, data analytics, or product analytics at a consumer technology company.
Trust & Safety

Content that this role interacts with includes images, video, and text related to every‑day life, but it can also include (but is not limited to) bullying;…

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