Data Scientist Manager, DCC - Trust and Safety, Content Integrity, Brand 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.

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
Come join the Data Cycling Center of TikTok, where we supercharge monetization through cutting-edge algorithms and recognition models! Our mission in the Monetization Integrity department is to transform unstructured data into actionable insights, making data acquisition and utilization effortless. Think of us as the data modeling powerhouse, turning vast amounts of data into valuable insights that drive business growth. Let’s unlock the potential of data together!

About the role
We are looking for a passionate, hands-on Data Scientist Manager/Brand Safety Lead to tackle a global challenge in social media. In this role, you'll use data-driven insights to enhance user safety and content integrity, ensuring brand advertising appears in safe contexts. You will lead a team of data scientists in analyzing complex datasets and building models to protect brands from harmful content associations on TikTok.

Why choose us, what sets us apart:
-Industry Relevance: Address critical challenges faced by social media platforms, prioritized by leading companies
-Cross-Functional Respect: Gain recognition from cross-functional teams for your valuable contributions at a global scale
-Visible Impact: See the direct effects of your work and maintain control over implementation strategies
-Ownership and Autonomy: Take charge of your data, make independent decisions, and receive credit for your achievements
-Capability Recognition: Benchmark your skills against outstanding individuals, fostering a culture of excellence
-Achievement-Oriented Environment: Enjoy a workplace that celebrates your contributions to brand safety and overall success
-Tools: Access to all the resources necessary to execute your vision at the highest level, including cutting-edge technology and a team of the brightest data science talent

Responsibilities:
- Lead and mentor a team of data scientists, fostering a culture of innovation and collaboration
- Analyze large and complex datasets to identify patterns, trends, and anomalies related to user-generated content and behavior
- Design and implement predictive models to detect and mitigate risks associated with harmful content, misinformation, and policy violations
- Understand advertiser and creator engagement, build predictive modeling processes, and find stories based on signals of advertiser success or failure/churn
- Communicate findings and insights to stakeholders, presenting actionable recommendations based on data analysis
- Work closely with product, engineering, and policy teams to inform decision-making and improve trust and safety initiatives
- Stay updated on industry trends and emerging threats in digital content, continuously refining models and strategies to enhance user brand safety