Hybrid Senior Data Scientist, CDC

at Siam Makro Public Company Limited

• Job title: Senior Data Scientist, CDC
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Azure, Cloud, PySpark, Python, SQL
• Location requirements: Hybrid, Phra Nakhon Si Ayutthaya, Thailand

About the role

• Senior Data Scientist for the CDC analyzing data and building forecasting models using Python and SQL. Collaboration with engineering and data teams for effective demand forecasting.

Responsibilities

• 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
• 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

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

Benefits

• Clear focus.
• Diverse Workplace (Our members are from around the world!)
• Non-hierarchical and agile environment
• Growth opportunity and career path