Data Scientist l Up to 45k x 13, Whampoa
- At least 4 years of working experience in Data Scienience
- Conduct in-depth exploratory data analysis (EDA) to identify market-specific data patterns and business nuances
- Adapting and fine-tuning predictive or recommendation models (e.g., LightGBM, collaborative filtering) for localized performance
- Proficient in Python and SQL, with hands-on experience using Spark (PySpark or Scala) for distributed data processing
ML Engineer l Up to 28k x 13, Whampoa
- At least 3 years of working experience in Data Machine Learning
- Hands-on experience deploying machine learning models in cloud environments, including containerization (e.g., Docker) and orchestration frameworks
- Skilled in API deployment using frameworks such as Flask or FastAPI; capable of containerizing and scaling model services
- Strong proficiency in writing modular, testable, and production-grade Python code following software engineering best practices