User Growth Data Scientist (Recommended Direction)-TikTok

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.

About the team
The user growth team is a multiple functional and regional team and we take responsibility for driving user growth by including but not limited to product, marketing, and partnership approaches, not only focusing on new user acquisition but also focusing on users' retention.

1. Analyzing key issues in the algorithm chain: Have an in-depth understanding of the user growth business, work closely with algorithm colleagues in user acquisition, user activation, etc., put forward optimization suggestions, and provide insights for algorithm-driven short video business growth;
2. Constructing the recommendation indicator system: Driven by goals, formulate growth recommendation indicator system, set effective ultimate indicators and intermediate indicators, and drive the effective implementation of algorithm work and achieve benefits;
3. Strategy analysis and optimization: Use methods such as statistical analysis and machine learning to mine user behavior signals and provide effective data clues. Through A/B experimental design and analysis, put forward effective optimization suggestions for the iteration of recommendation strategies and formulate scientific indicator evaluation methods.