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-inspired decisions and form roadmaps in ensuring that TikTok Live 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, algorithm, and engineering teams - both locally and globally. You will work with stakeholders to implement strategies and design products to proactively detect and disarm safety incidents, while protecting creator experience with great efficiency.

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:
What will I be doing?
1. Drive the strategic planning and execution of short-term and long-term business plans through in-depth business analysis;
2. Develop comprehensive metrics and quantitative measurement structure to drive the improvement of the capability of removing harmful content in Live;
3. Refine and upgrade the live safety system for globalized products, incorporating statistical modeling methods to construct an efficient decision-making system that quantifies business tradeoffs;
4. Collaborate closely with cross-functional teams within the Trust and Safety team, proactively providing and communicating insights and recommendations, driving the implementation of data insights, and promoting the data-inspired decision-making process in the organization.

Qualifications

What should I bring with me?
1. Bachelor's degree or above, preferably in mathematics, computer science, statistics, engineering, or related fields.
2. Experience in data science-related industry, with rich experience in designing success metrics and A/B testing.
3. Proficient in data analysis and statistical analysis tools such as SQL and Python.
4. Experience in quantifying complex problems using A/B testing and other statistical skills, such as statistical techniques, such as causation/correlation, decision trees, regression analysis, etc.
5. Experience collaborating with cross-functional and global teams. Strong communication and collaboration skills.
6. Ability to work in a fast-paced, dynamic environment.

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.