Data Scientist, Account Integrity - Trust and Safety - San Jose

About the Team
As a Data Scientist in TikTok's Trust and Safety team, you will drive data driven decisions and forming roadmaps in ensuring that TikTok remains a safe, trustworthy, and risk-free environment. By implementing your domain knowledge, you will help diagnose, triage, and treat large-scale safety issues. You will scope out projects, use ground-truth data to inform strategies and influence product design. You will partner with a variety of stakeholders across the product, operations, policy, and engineering teams - both locally and globally. You will work with the stakeholders to implement strategies and design product to proactively detect and disarm safety incidents, while protecting creator experience.


Responsibilities:
- Design and implement comprehensive metrics and quantitative measurement frameworks to evaluate the effectiveness of risk control policies. Continuously refine measurement methodologies to track risk control capabilities accurately;
- Lead strategic planning by analyzing industry trends, competitive landscapes, and internal data. Translate insights into actionable business plans to improve platform safety and policy operability;
- Partner with stakeholders to achieve targets using data-driven approaches, such as monitoring policy impacts on risk control capabilities, leveraging statistical methods to establish an efficient decision-making system, standardizing reusable analytical methodologies and tools to enhance team efficiency;
- Collaborate with XFN teams to align priorities, communicate data-backed recommendations, and drive implementation. Foster organization-wide adoption of data-inspired practices.