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.
