Shopee's growth data team focuses on the long-term performance of users and is committed to associating users' long-term performance with short-term behaviour through scientific methods. Our team plays a critical role in improving business framework, evaluation system and customisation strategies. Data-driven and result-oriented are our values; helping business to achieve long-term goals is our mission. We always run fast with challenges and remain at the forefront of the industry.
Job Description:
Including but not limited to:
- Responsible for user CLV prediction, establishing real-time prediction model, and responsible for basic algorithm and strategy research of CLV system in multiple scenarios.
- Responsible for the feature engineering of algorithms, continue to expand business tags, mine user portraits, and continuously improve prediction accuracy.
- Build and optimise the algorithm architecture, improve forecasting efficiency, and develop data products and decision-making tools based on business scenarios.
Requirements:
- Bachelor degree or above in computer or related majors, more than 1 year of Internet work experience.
- Familiar with at least one programming language such as Python/Java/C++/Scala, and familiar with common big data processing frameworks such as Spark/Hadoop.
- Solid machine learning foundation, able to apply commonly-used machine learning models to solve practical business problems proficiently, project experience with mainstream deep learning models is preferred.
- Good logical thinking, data analysis ability, good at analysing and solving problems.
- Advertising/recommendation/search work experience is preferred.
工作职责
包括但不限于:
- 负责用户CLV的预测，建立实时预测模型，负责多场景下CLV系统的基础算法和策略研究。
- 负责算法的特征工程，持续拓展业务标签、挖掘用户画像，不断提升预测精度。
- 搭建并优化算法架构，提升预测效率，结合业务场景开发数据产品及决策工具。
任职要求
- 计算机或相关专业本科及以上学历，1年以上的互联网工作经历。
- 熟练掌握python/java/C++/Scala等一门或以上的编程语言，熟练掌握spark/hadoop等常用大数据处理框架。
- 扎实的机器学习基础，能够熟练应用常用的机器学习模型解决实际的业务问题，有主流深度学习模型的项目实践经验优先。
- 良好的逻辑思维能力, 数据分析能力，善于分析和解决问题。
- 广告/推荐/搜索的工作经历优先。
