TikTok - Data Scientist (Privacy) - Singapore

About TikTokTikTok 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 platform is built to help imagination 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 impacts on ourselves, our company, and the communities we serve. Join us. About the Team TikTok’s data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market. Job Description 1. Build and improve the data construction of the TikTok core indicator system combined with different business goals, including modules such as user experience, compliance functions, and user security, to ensure the accuracy of the data and its alignment with business scenarios； 2. Regularly monitor core indicators, continuously track the flow and usage of data, be able to clearly identify abnormal data, and warn and disassemble the reasons for indicator changes, while finding suggestions for optimization and improvement and intervention measures； 3. Explore and summarize the analysis methodology, research analysis theories, promote the iterative optimization of data products, and improve analysis efficiency； 4. Be able to enhance communication with the business, regularly produce analysis reports, and proactively help the business discover potential growth points.

Minimum Qualifications 1. Bachelor's degree or above, 3-5 years and above working experience; priority is given to data-related disciplines such as statistics, computer science, and quantitative analysis background； 2. Strong curiosity, able to actively understand the business, quickly understand the business logic, and be able to translate it into data issues； 3. Have a good sense of ownership, strong sense of responsibility, strong sense of cooperation, and strong self-driven ability； Preferred Qualification 1. Excellent communication and coordination skills and cross-departmental teamwork skills.