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.

The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented Data Science Leader to join us and help to make some impact on the TikTok Shop user product globally. Together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users.

What You'll Do:
• Responsible for data analysis of TikTok e-commerce's global user products independently, including shoptab products, transaction products, etc.;
• Measure performance of each e-commerce product across countries and regions, and provide product optimization suggestions
• Design the event tracking system for each module of global e-commerce products, verify the accuracy of event tracking system after release, and maintain the event tracking system and specifications in subsequent versions
• Describe the situation of business, explain the fluctuations of business and provide valuable suggestions with reports
• Design the monitoring systems independently to reflect any changes of business in time
• Design A/B test, and give the optimal product design scheme according to the data performance after launch
• Cooperate with PM/Ops/R&D teams to promote the implementation of optimization schemes, and to bring about the actual improvement and growth of business
• Cooperate with R&D and Data PM to build data systems and user-friendly data products to support business