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.
It is possible that this role will be exposed to harmful content as part of the core role/as part of project/ in response to escalation requests/by chance. Some content viewed may violate our community guidelines, which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; murder.
Responsibilities:
- Design and implement comprehensive metrics and quantitative measurement frameworks to evaluate and enhance the effectiveness of risk control policies;
- Continuously refine measurement methodologies to ensure accurate tracking of risk control capabilities;
- Lead short-term and long-term strategic planning by conducting in-depth business analysis, industry research, and market trend assessments;
- Translate insights into actionable business plans to improve platform safety and policy operability;
- Partner with stakeholders using data-driven approaches, ensuring alignment with business objectives;
- Monitor policy impacts on risk control capabilities, leveraging statistical methods to establish an efficient decision-making system;
- Abstract and standardize reusable analytical methodologies and tools to enhance team efficiency;
- Collaborate closely with cross-functional teams to provide actionable insights, drive data-informed strategies, and implement improvements;
- Proactively communicate findings and recommendations to leadership, fostering a culture of data-inspired decision-making across the organization.