Senior Data Scientist (CDC)

> CP Axtra

• Phra Nakhon Si Ayutthaya, Thailand (Hybrid)
• Full-time

Workplace: hybrid

Department: Software Engineering

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

Benefits

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

Apply

[Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/ABE89A62D0/apply)