Job Description

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.