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Senior Data Scientist (CDC) at Makro PRO
Phra Nakhon Si Ayutthaya City Municipality, , Thailand -
Full Time

Start Date

Immediate

Expiry Date

02 Jul, 26

Salary

0.0

Posted On

03 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, PySpark, Machine learning, Demand forecasting, LightGBM, XGBoost, SQL, Data visualization, Power BI, Databricks, Azure, AWS, MLOps, MLflow, Data engineering, Communication

Industry

Software Development

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
Responsibilities
The Senior Data Scientist will develop end-to-end forecasting solutions and machine learning models to support business decision-making. They will collaborate with cross-functional teams including Data Engineering, Product, and Supply Chain to deliver actionable insights.