Job Description

As the core team of TikTok Shop, Content Data Science team focuses on improving user-side product experience, user interaction, and transaction conversion of shoppable content. We study how users discover, consume, and interact with shoppable content, and how these behaviors ultimately drive purchasing decisions.

We work closely with Product, Operation, Recommendation, and Engineering teams to use data and experimentation to optimize content formats, interaction design, and distribution strategies. At the same time, we build scalable metrics frameworks, analytical methodologies, and data tools to support long-term decision making in the e-commerce content domain.

Responsibilities:

- Be responsible for data analysis work related to TikTok Shop shoppable content and user growth business and provide insightful analytical capabilities for the business

- Accurately and comprehensively understand the business, assist in setting business growth goals, decompose key achievement paths, and implement robust process monitoring and early warning measures

- Dissect the driving factors of business growth, diagnose growth-related issues, investigate and attribute data anomalies, and build automated anomaly attribution tools

- Conduct special analysis on critical issues, gain insights into the essence of problems, and propose data-driven optimization suggestions or solutions

- Demonstrate excellent organizational and collaboration skills; partner with product R&D, data and algorithm teams to support strategy iteration through rigorous analysis, data mining, causal inference, A/B testing and other methods, drive the implementation of optimization plans, quantitatively evaluate strategy effectiveness, and boost key business metrics

- In the course of supporting business development, think and summarize proactively, and precipitate growth analysis methodologies and data efficiency tools