Data Scientist - Analytics, Trust & Safety

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
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 :
The Trust & Safety team at TikTok helps ensure that our global community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in policy making, product development, and human and automatic moderation to protect billions of users around the globe from harmful content and abusive behaviors.

The goal of the data team is to use data to help the Trust & Safety team make many good decisions. As a Data Scientist on our team, you are instrumental in ensuring we use data analysis to keep our users and community safe. You will work closely with product managers, program managers, engineers, and policy managers on measuring risks, and detecting and preventing negative experiences on our product. You will help scope out projects, ideate on new strategies, and most importantly, use data to find insights, diagnose problems and tell compelling stories.

Responsibilities :
- Work with large and complex data sets to support project execution and strategic planning
- Apply expertise in quantitative analysis to understand user behaviors, provide actionable insights, and measure the success of safety features through experimentation and causal inference
- Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough
- Build and enhance models or tooling to strengthen proactive detection of risks and automation of policy enforcement
- Develop metrics and visualization tools to evaluate risks of the platform and the impact of safety strategies