Data Scientist

> CP Axtra

• Suan Luang, Thailand (Hybrid)
• Full-time

Workplace: hybrid

Department: Software Engineering

Description

Overview:

We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.

Responsibilities

Data Analysis:

Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.

Model Development:

Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.

Collaboration:

Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.

Visualization and Communication:

Present insights and findings through visualizations and dashboards to inform decision-making.

Innovation:

Stay updated on the latest tools and techniques in data science and retail analytics.

Optional

Responsibilities (if experienced):

Feature Engineering:

• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.

MLOps:

• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.

Data Engineering:

• Assist in designing and maintaining data pipelines and ensuring data quality.

Requirements

Education:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Experience:

At least 2 years of experience in data science or a related field.

Technical Skills:

• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).

Soft Skills:

Strong problem-solving, communication, and teamwork abilities.

Preferred (Optional)

Qualifications:

• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.

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/BC2701CDBF/apply)