TikTok Shop - Data Scientist - Shopping Center

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 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 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. The User Product team is building the product features, strategies, and solutions related to the Buyer within TikTok Shop.

What you will do？
- Develop comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's business/user product;
- Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business/user product offerings;
- Monitor key performance indicators and develop metrics framework to help measure XFN efforts in a quantitative way;
- Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features;
- Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth. Provide recommendations for improvements to achieve business goals;
- Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.