About TikTok:
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, 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 users we serve. Join us.

About:
As the central department of the Data Science team, our goal is to build and maintain an efficient and accurate data system to ensure data quality. By establishing robust mechanisms, monitoring systems, and effective work models, we aim to enhance the efficiency of the DS team's operations and the identification of key business issues, ensuring that data-driven decisions drive continuous business optimization and growth.

Responsibilities
- Identify core business metrics and establish a unified metric system, including defining metric calculation methods, data sources, and update frequencies.
- Ensure that the entire data chain from collection, processing, to analysis is clear and accurate.
- Collaborate with data BPs, RD , QA, and business line DS to create mechanisms that ensure data accuracy and effectiveness, and regularly review and update the core metric system.
- Develop data monitoring and alert systems, and establish rapid response and problem-solving processes to ensure that data anomalies and business issues are promptly identified and resolved.
- Explore and optimize data science work models to systematically improve the efficiency of the DS team and enhance external collaboration.
- Use data-driven approaches to identify key business issues, drive relevant analyses, promote solutions, and implement improvement measures.