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 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 commerce experience to our users.
The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more inclusive, honest and efficient working atmosphere, and sincerely invite outstanding data scientists to build a first-class e-commerce platform.

Responsibilities:
1. Develop a comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business/user product;
2. Collaborate with the product team to identify growth drivers and develop a quantitative measurement approach;
3. Partner closely with key stakeholders to optimize overall product adoption and performance-driven growtl Provide recommendations for improvements to achieve business goals;
4. Seek insights and scale insights through developing systematic and comprehensive data solutions;
5. Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.