CP Axtra

Wholesale and retail distributor with omnichannel

Data Scientist - CDC

Data ScienceConfirmed live in the last 24 hours

Full-timePhra Nakhon Si Ayutthaya, Phra Nakhon Si Ayutthaya District, Phra Nakhon Si Ayutthaya, ThailandNo salary listedHybrid

About the Job

Requirements

Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting using regression and time series models.
Experience with forecasting models such as LightGBM and XGBoost, and classical time series methods such as ETS and ARIMA.
Strong understanding of the machine learning workflow, including data cleansing, feature engineering, model evaluation, and model explainability.
Familiarity with forecasting evaluation metrics such as MAPE and MAE, and ability to validate model performance.
Strong SQL skills for managing and querying large datasets.
Knowledge of data visualization tools such as Power BI.
Experience with cloud-based technologies such as Databricks, Azure, or AWS.
Ability to explain insights and models to business and technical teams.
Ability to deliver end-to-end solutions, not just analysis.
Ability to work effectively with Data Engineering, Tech, Product, and Supply Chain teams.

Desired Qualifications

Exposure to MLOps tools such as MLflow and job scheduling.
Experience building production pipelines for forecast outputs with daily or weekly runs and supporting downstream systems.
Experience in real-time analytics or scheduled processing systems.
Ability to balance accuracy, business impact, and time constraints.

Data Scientist (CDC)

CP Axtra · Phra Nakhon Si Ayutthaya, Thailand (Hybrid) · Full-time · Posted 2026-11-05

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

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About the Company

CP Axtra

Wholesale and retail distributor with omnichannel

CP Axtra runs wholesale and retail networks in Thailand and across Asia, with two main segments: Makro for B2B wholesale and Lotus's for B2C retail in hypermarkets and supermarkets. It sources goods from suppliers and sells them through its stores and online channels, while also earning from leasing mall space; digital tools like the Makro PRO app and partnerships with Cainiao and Microsoft help manage inventory and personalize shopping. The company combines a large B2B wholesale ecosystem with a broad B2C retail footprint and a unified omnichannel experience to connect physical and online shopping. Its goal is to become a leading RetailTech company in Asia by improving supply chains, expanding its omnichannel reach, and growing its ecosystem of stores, online services, and mall spaces.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Bangkok, Thailand
Founded: 1988

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