Data Scientist, Trust & Safety

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
Our Trust & Safety team's commitment is to keep our online community safe. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.

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.

What will I be doing？
1. Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations, driving the implementation of data analysis value, and overseeing the macro direction of the business.
2. Support strategic planning and execution for long term business plans through in-depth research, industry studies and the study of market trends.
3. Design and establish indicator systems for safety and risks of the platform, monitor and optimize risk coverage in each link, measure the performance of content safety strategies and facilitate decision-making.
4. Build and enhance risk detection models or toolings to strengthen enforcement and automation of trust and safety policies
5. Derive and drive quantitative projects from start to finish, including developing analytical frameworks, distilling actionable insights and working with XFN partners to drive business impact.

Qualifications

What should I bring with me?
1. Working level competency in one or more programming languages including SQL, Python and R is required. Sound understanding of ML models and how they can be leveraged to act upon a range of content and safety risks.
2. Experience in quantitative analysis with relevant degree / experience.
3. Experience working on consumer-facing products, with a keen sense of malicious and inappropriate activities that occur on social media.
4. Ability to solve problems using quantitative approaches and communicate complex concepts and analytical results to drive business impact.

Trust & Safety is committed to the wellbeing of all our employees. Our promise is to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.