Data Scientist

• Develop responsible AI models to address business needs within marketing and communication and improve campaign performance.
• Capture business requirements, assess feasibility, and build models and analyses to identify the most relevant target groups.
• Design and run tests to measure model impact and support customer journey-driven marketing campaigns.
• Build data pipelines to clean and structure web analytics data and use LLMs to detect customer intent.
• Develop and deploy automated summarization solutions using LLMs or traditional NLP approaches.
• Apply responsible AI principles and best practices, including explainability.
• Monitor and deploy AI models in production using a comprehensive tooling stack.
• Translate technical concepts into clear, actionable recommendations for business owners and advise on model usage in campaigns.

• Strong Python expertise and hands-on experience with the Python data science ecosystem, including scikit-learn, transformers, PyTorch, and TensorFlow.
• Proven experience fine-tuning, evaluating, and operationalizing LLMs and embedding models for production use in marketing contexts.
• Solid knowledge of statistical methods, experiment design, and machine learning algorithms, including traditional ML and deep learning.
• Experience using LLMs for text classification, RAG, interpretability, guardrails, and validation of LLM-driven predictions.
• Hands-on experience with MLflow for experiment tracking, model versioning, and CI/CD pipelines in AI/ML workflows.
• Expertise in customer journey modeling, such as next best action.
• Working knowledge of Git, Bash, and SQL.

Profile

• Master’s degree or higher in a quantitative field such as statistics, mathematics, or computer science; candidates with other academic backgrounds and substantial data science experience are also welcome.
• At least 5 years of relevant experience in data science.
• Ability to work independently, take ownership, and drive projects end to end with minimal guidance.
• Strong analytical and problem-solving mindset.
• Clear, concise communicator who can translate data insights into actionable recommendations.
• Quick learner, proactive, result driven, and comfortable working in a team.

Practical Information

• Work arrangement: 50% on-site presence in Brussels and 50% telework.
• Language requirements: fluent English, and fluent Dutch or fluent French, both spoken and written.
• Preferred experience is a plus: active learning, uplift modeling, marketing mix modeling, optimization under constraints, SAS, and Streamlit.