TikTok Global E-commerce Data Science team leverages rigorous data analysis and scientific methodologies to drive business growth, enhance operational efficiency, and improve the experience for users, merchants, and creators worldwide.
Requirements
- Proficient in data analysis tools and languages such as SQL, Python, or R;
- Solid foundation in statistics, with hands-on experience in A/B testing, regression analysis, and causal inference;
- Strong data visualization skills and ability to clearly communicate analytical insights through dashboards and reports;
- Experience in cross-border or international e-commerce data analysis or modeling;
- Familiarity with machine learning frameworks or predictive modeling; hands-on experience with tools such as Scikit-learn, TensorFlow, or PyTorch;
- Experience working with big data technologies such as Hive, Spark, or Hadoop;
Responsibilities
- Conduct data analysis for TikTok’s global e-commerce products, covering areas such as creators & merchants, content e-commerce, promotion tools, shoptap, and transaction flow;
- Design and analyze A/B tests, evaluate product optimizations, analyze campaign performance, monitor key metric fluctuations, and assess client-side version updates;
- Analyze country-specific factors influencing product optimization and business growth, and propose actionable product improvement solutions aligned with business direction;
- Collaborate closely with product managers, operations, engineering, and algorithm teams to implement data-driven strategies and deliver measurable business impact;
- Build and maintain e-commerce product metric systems, work with data engineering teams to construct foundational data pipelines and visual dashboards, and enable business stakeholders to gain actionable insights.
Other
- Currently pursuing a PhD in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines;
- Results-driven, highly self-motivated, and accountable; excellent team player with strong organizational and communication skills.
- Strong cross-functional communication skills.
