TikTok Product Analysis - Data Scientist

About Us
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 Product Data Analytics Team analyses a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. The team will work through different business scenarios including improving LIVE app Experiences, Host Operation, User experiences. In addition, it is important to manage the data life cycle to ensure problems are quantitatively measured to propose logical solutions.

Responsibilities:
- Spearhead data analytics for our international LIVE segment, focusing on elements such as virtual gifting, host interactions, and strategic enhancements to boost revenue.
- Identify growth levers for our LIVE feature, discern areas for enhancement through data analysis, and provide a data-driven foundation for business evolution.
- Grasp the LIVE platform's business logic and user engagement thoroughly, construct a robust metrics framework aligned with business goals, and swiftly assess and enhance business performance, offering strategic, actionable insights.
- Actively participate in the growth of our international LIVE business by analyzing business logic, breaking down goals into actionable plans, and establishing a metrics system and diagnostic protocols.
- Collaborate closely with various business units (product, operations, R&D) to launch and oversee special data projects or interim reviews, identifying and driving data-based optimization, and securing tangible improvements.