Our client, a prominent organization in the public sector, is looking for a senior expert to drive strategic data initiatives and technical leadership. This role focuses on bringing structure to data mining activities, mentoring technical teams, and transforming ad-hoc requests into scalable data products.
* Lead complex data projects involving advanced analytics, network analytics, and architectural decision‑making.
* Co‑create and mentor data scientists and analysts through technical reviews and best practice sharing.
* Establish and maintain quality standards for reproducibility, documentation, and engineering excellence.
* Streamline the intake and prioritization of data requests to develop reusable and structured data solutions.
* Apply FAIR principles to ensure high‑quality data product development and long‑term reusability.
* Manage project delivery by tracking milestones, identifying risks, and ensuring stakeholder alignment.
* 8+ years of experience in data analysis and modeling using Python, pandas, and scikit‑learn.
* 5+ years of experience building and deploying machine learning models within a production context.
* Strong background in software engineering including Git, CI/CD pipelines, Docker, and FastAPI.
* Solid proficiency in SQL for data extraction and manipulation.
* Experience in coaching technical professionals and working within Scrum or Agile methodologies.
* You possess a Master’s degree in IT.
* You bring a proven ability to translate complex business needs into concrete technical roadmaps.
* You are an expert in stakeholder management, expectation setting, and reporting.
* You include a technical explanation comparing Random Forest, XGBoost, and AdaBoost with your application.
* You are fluent in Dutch, French, and English.
Nice to Haves
* Experience with Databricks and cloud infrastructure tools like Terraform, AWS, or GCP.
* Knowledge of data product thinking, governance, and FAIR principles.
* Experience in graph analytics, network analytics, or fraud detection.
* Professional experience within a social security or public administration environment.
* Start date: ASAP
* Work regime: Full‑time
* Location: Brussels
* Working model: Hybrid
* Contract: open to both permanent employees and freelancers
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