Responsibilities:

• Play a key role in adjusting and validating group-level data science solutions for successful local market implementation and supporting customers.
• Ensure technical compatibility, perform model evaluation, and support deployment preparation.

Requirements:

• Bachelor's degree in business, information technology or related sciences.
• At least 4 years of data scientist work experience.
• Able to conduct in-depth exploratory data analysis (EDA) to identify data patterns and business nuances in specific markets.
• Have experience in adjusting and optimizing prediction or recommendation models (such as LightGBM, Collaborative Filtering) to achieve localized performance.
• Proficient in using offline indicators and post-deployment KPI evaluation models to assess effectiveness; able to detect drift and misalignment.
• Proficient in Python and SQL, with practical experience in distributed data processing using Spark (PySpark or Scala).
• Prove that you can handle and transform diverse datasets, design features and adjust models to improve prediction accuracy.
• Familiarity with converting business objectives into technical model standards, and explaining model results in business terms.
• Able to work with machine learning engineers to ensure scalable and production-level deployments.
• Applicants with retail, customer analysis or marketing-related data science experience are preferred.
• Good oral and written communication skills in Chinese and English.