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CP Axtra

Data Scientist (CDC)

CP Axtra Phra Nakhon Si Ayutthaya City Municipality, Thailand

Wholesale · 10,001+ employees

5 h ago
Remote data-scientist Mid (2-5 yrs) Full-time Thailand
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About the role

Develop and implement end-to-end data science solutions, including demand forecasting and machine learning models. Collaborate with cross-functional teams such as Data Engineering, Tech, Product, and Supply Chain to deliver actionable insights.

What they look for

Python PySpark Machine learning Demand forecasting LightGBM XGBoost SQL Data visualization Power BI Databricks Azure AWS MLOps MLflow Feature engineering Model evaluation

Requirements

Requires proficiency in Python, PySpark, and SQL, along with experience in machine learning workflows and forecasting models like LightGBM or XGBoost. Candidates should have experience with cloud technologies and strong communication skills to explain complex models to business stakeholders.

Benefits

Diverse workplace Growth opportunity Career path

Full description

Requirements• Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models)

  • Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA)
  • Strong understanding of the machine learning workflow (data cleansing, feature engineering, model evaluation, model explainability)
  • Familiarity with forecasting evaluation metrics (e.g. MAPE, MAE) and ability to validate model performance
  • Strong SQL skills for managing and querying large datasets
  • Knowledge of data visualization tools (e.g., Power BI)
  • Experience with cloud-based technologies such as Databricks, Azure, or AWS
  • Strong communication skills — able to explain insights and models to both business and technical teams
  • Ownership and accountability — able to deliver end-to-end solutions, not just analysis
  • Collaboration — able to work effectively with Data Engineering, Tech, Product, and Supply Chain teams

Preferred (Optional) Qualifications:

  • Exposure to MLOps tools (e.g., MLflow, job scheduling)
  • Experience building production pipelines for forecast outputs (daily/weekly runs) and supporting downstream systems
  • Experience in real-time analytics or scheduled processing systems
  • Optimization mindset — able to balance accuracy, business impact, and time constraints
  • Clear focus.
  • Diverse Workplace (Our members are from around the world!)
  • Non-hierarchical and agile environment
  • Growth opportunity and career path

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