Location : bruxelles
Start date : 01/08/2025
Duration: 5 months renewable
Remote : Hybrid
Mission overview
We are looking for an expert Data Scientist to contribute to the design and implementation of a modular, future-proof Machine Learning framework, and to support the development of Machine Learning models that address business needs in an agile and iterative manner.
Key responsibilities
Design and implementation of a Machine Learning framework
- Define and implement best practices for data preprocessing, model training, validation, and deployment.
- Integrate model monitoring, maintenance, and feedback loops (e.g., performance tracking and retraining).
- Ensure robust Version Control and logging across the ML infrastructure.
- Prepare infrastructure for potential migration to cloud environments.
- Provide documentation of all processes and components.
- Coach internal team members on using the developed ML framework.
- Present technical analyses and outcomes to non-technical business stakeholders.
Development and application of Machine Learning models
- Translate business questions into ML solutions through iterative collaboration.
- Identify, assess, and prepare relevant data sources.
- Conduct data exploration, feature engineering, and data quality assessments.
- Select appropriate algorithms and develop, compare, and tune predictive models.
- Automate modeling workflows and present results in a clear and impactful manner.
- Continuously evaluate and improve model performance.
Technical skills
- Machine Learning Techniques & Analytical Modeling (expertise required)
- Python for data science
- SQL (expert)
- Microsoft Azure Machine Learning / Azure ML SDK
- Microsoft DevOps or similar
- Microsoft Fabric
- Jupyter Notebooks
- Microsoft SQL Database
- Oracle Database Management
Soft skills
- Strong analytical thinking and communication skills
- Ability to clearly explain technical concepts to business users
- Proactive and autonomous mindset
- Ability to coach team members and work collaboratively
