数据分析师（推荐方向）-抖音电商
Core
Build and optimize e-commerce recommendation systems by analyzing user behavior, content, and product supply to drive business growth and improve user experience.
Role type
Senior Data Scientist (Recommendation Systems)
Builds
E-commerce recommendation algorithms, data products, and experimental frameworks
Domain
E-commerce, Recommendation Systems, Machine Learning
Deliverable
production ML models
Required skills
SQL, Python, statistical learning, machine learning, feature engineering, user behavior modeling, A/B testing design, data productization
Preferred skills
E-commerce search/recommendation/ad data experience, computer science/statistics/math background, algorithm foundation
Technologies
SQL, Python
Responsibilities
Collaborate with product, algorithm, and operations teams to analyze user strategies and traffic distribution; Design and maintain e-commerce recommendation metric systems for decision support; Execute full-cycle A/B experiments to evaluate and optimize recommendation strategies; Analyze business problems and provide actionable insights for development direction; Extract user behavior patterns and feature values to optimize algorithms; Lead team training on data product concepts and tools.