Data Scientist – Machine Learning & AI Job ID JP054484

Data Scientist Machine Learning & AI

We are seeking a Data Scientist to design develop and maintain a modular and future-proof machine learning framework while delivering advanced analytics and predictive modeling solutions to support business objectives.

• Design and implement a scalable and reusable machine learning framework.
• Establish best practices for data preprocessing model training validation deployment and lifecycle management.
• Implement monitoring feedback loops and model retraining mechanisms.
• Manage model versioning reproducibility logging and system monitoring.
• Prepare infrastructure for future cloud migration initiatives.
• Document processes methodologies and technical solutions.
• Coach and support team members in the adoption and use of the framework.
• Present technical analyses and results to business stakeholders.

• Translate business requirements into technical solutions using an iterative development approach.
• Identify assess and validate relevant data sources.
• Perform data analysis data preparation and exploratory data analysis (EDA).
• Develop feature engineering strategies to improve model performance.
• Select evaluate compare and optimize machine learning algorithms.
• Build tune automate and maintain predictive models.
• Continuously evaluate and improve model accuracy and effectiveness.
• Communicate insights and recommendations through clear visualizations and presentations.

• Strong experience with Python for Data Science and Machine Learning.
• Solid knowledge of SQL and database technologies.
• Experience with Machine Learning and AI techniques for data analysis.
• Experience developing and evaluating analytical and predictive models.
• Hands-on experience with Jupyter Notebook and KNIME.
• Knowledge of Microsoft Fabric.
• Experience with Microsoft DevOps or similar CI/CD and version control platforms.
• Experience working with Microsoft SQL databases.
• Knowledge of Oracle database environments.
• Familiarity with Azure Machine Learning and Azure ML SDK.

• Native proficiency in either Dutch or French.
• Ability to read and understand the other national language.

• Hybrid work environment.
• On-site presence required 2 days per week in Brussels with remote work available on remaining days.

• Interview combined with a practical technical assignment.