PpOur 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. /p h3Responsibilities /h3 ul liLead complex data projects involving advanced analytics, network analytics, and architectural decision-making. /li liCo-create and mentor data scientists and analysts through technical reviews and best practice sharing. /li liEstablish and maintain quality standards for reproducibility, documentation, and engineering excellence. /li liStreamline the intake and prioritization of data requests to develop reusable and structured data solutions. /li liApply FAIR principles to ensure high-quality data product development and long-term reusability. /li liManage project delivery by tracking milestones, identifying risks, and ensuring stakeholder alignment. /li /ul h3Requirements /h3 ul li8+ years of experience in data analysis and modeling using Python, pandas, and scikit-learn. /li li5+ years of experience building and deploying machine learning models within a production context. /li liStrong background in software engineering including Git, CI/CD pipelines, Docker, and FastAPI. /li liSolid proficiency in SQL for data extraction and manipulation. /li liExperience in coaching technical professionals and working within Scrum or Agile methodologies. /li liYou possess a Master’s degree in IT. /li liYou bring a proven ability to translate complex business needs into concrete technical roadmaps. /li liYou are an expert in stakeholder management, expectation setting, and reporting. /li liYou include a technical explanation comparing Random Forest, XGBoost, and AdaBoost with your application. /li liYou are fluent in Dutch, French, and English. /li /ul h3Nice to Haves /h3 ul liExperience with Databricks and cloud infrastructure tools like Terraform, AWS, or GCP. /li liKnowledge of data product thinking, governance, and FAIR principles. /li liExperience in graph analytics, network analytics, or fraud detection. /li liProfessional experience within a social security or public administration environment. /li /ul h3Offer /h3 ul liStart date: ASAP /li liWork regime: Full-time /li liLocation: Brussels /li liWorking model: Hybrid /li liContract: open to both permanent employees and freelancers /li /ul /p #J-18808-Ljbffr