Senior Data Scientist Technical Lead Job ID JP054403

We are seeking a Senior Data Scientist to provide technical leadership coaching and strategic direction within a Data Mining team. The role combines hands-on advanced analytics and machine learning expertise with stakeholder management team mentoring and the transformation of ad-hoc analytical requests into scalable data products and reusable solutions.

• Lead complex data science and machine learning projects from design to production.
• Drive architectural and technical decisions for advanced analytics initiatives.
• Define and promote best practices for reproducibility documentation code quality and data science methodologies.
• Support the development of scalable and maintainable data products.

• Mentor data scientists and analysts through code reviews technical coaching and collaborative problem-solving.
• Improve team capabilities in analytics machine learning software engineering and delivery practices.
• Contribute to team processes standards and knowledge-sharing initiatives.

• Structure prioritize and manage incoming analytical requests.
• Transform one-off analyses into reusable datasets models templates and data products.
• Apply data governance and FAIR principles to improve data quality accessibility and reusability.
• Develop and maintain machine learning solutions in production environments.

• Collaborate with business stakeholders data engineers platform teams and management.
• Support planning risk management prioritization and delivery tracking.
• Communicate technical concepts clearly to both technical and non-technical audiences.

• Masters degree in Computer Science Data Science Engineering or a related field.
• Strong hands-on experience as a Data Scientist or ML Engineer.
• Advanced Python expertise including Pandas Scikit-learn and machine learning frameworks.
• Experience developing deploying and maintaining production-grade ML models.
• Strong software engineering background with Git CI/CD Docker APIs and reusable service architectures (e.g. FastAPI).
• Solid SQL skills and experience with data modeling and data analysis.
• Experience with Agile/Scrum methodologies and mentoring technical teams.
• Excellent analytical communication and stakeholder management skills.

• Experience with Databricks.
• Knowledge of graph analytics network analytics or advanced analytics techniques.
• Experience with AWS GCP Terraform and cloud-native architectures.
• Knowledge of data product management governance and FAIR principles.
• Experience in fraud detection secondary data use or highly regulated environments.

• Dutch French and English (professional working proficiency preferred).

• Hybrid working model.
• Location: Brussels Belgium.
• Collaboration with multidisciplinary data analytics and platform teams.

Candidates may be required to complete a technical exercise demonstrating their understanding of machine learning concepts and model selection approaches including ensemble learning techniques such as Random Forest XGBoost and AdaBoost.