La Fabrique by CA

Data Scientist

• Design, train, and maintain statistical models (scoring, valuation, anomaly detection, segmentation)
• Rigorously assess the quality of models and data — including data provided by external vendors
• Leverage geospatial data (POIs, flows, zoning, distances, cadastral data and DVF — geolocated property transaction data) to enrich valuation and scoring models
• Produce actionable outputs for product and business teams
• Contribute to the data roadmap by identifying high-value opportunities
• Design and maintain training and inference pipelines
• Work closely with the Data Engineer on data architecture and input data quality
• Participate in model orchestration and production monitoring
• Integrate LLM / RAG / generative AI approaches into product use cases when appropriate
• Design and deploy RAG pipelines over real estate and regulatory document corpora
• Master AI engineering patterns: structured prompt engineering, function calling, lightweight AI agents, orchestration chains (LangGraph, CrewAI)

Full-stack Engineer

• Ensure product delivery
• Develop new features (APIs, backend services, React interfaces)
• Actively participate in the technical backlog
• Continuously improve the existing architecture
• Contribute to technical decision-making within a small team
• Integrate data models into applications
• Participate in the industrialization of AI use cases where relevant
• Work closely with data teams and the CTO on technical evolutions
• Perform code reviews and follow best practices
• Contribute to CI/CD pipelines
• Pay particular attention to security and compliance (banking environment)
• Ensure the scalability and reliability of developed services

Data Scientist

Senior Fullstack Developer