Senior Data Scientist

MISSION

The Senior Data Scientist can code, build, and deploy production-ready AI solutions. The ideal candidate is hands-on with Python, LLM frameworks (LangChain, LlamaIndex), and has experience in creating reusable agentic components. You’ll work on integrating both OpenAI and open-source LLMs into scalable, cloud-based solutions that deliver real business value.

KEY EXPECTED ACHIEVEMENTS

Business understanding & Solution implementation

• The business need is understood and formalized in a descriptive datasheet or specifications
• The methods are identified through external researches and selected by their theoretical bases, advantages and drawbacks.
• The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits.
• The source code is delivered and explained if necessary.

Technical Capabilities

• Design, build, and deploy LLM-powered applications and agents for automation and workflow optimization.
• Develop reusable agentic components
• Work hands-on with Python, LangChain, and LlamaIndex.
• Leverage OpenAI APIs and open-source LLMs (e.g., GPT, LLaMA, Gemini, etc.).
• Prepare and process structured/unstructured datasets for fine-tuning or training models.
• Deploy scalable solutions on cloud platforms (Azure preferred) and manage the lifecycle with MLOps best practices.
• Stay up to date with the latest GenAI/LLM advancements and apply them to real-world problems.
• Ability to design reusable, production-grade AI components.
• Practical experience with both proprietary (OpenAI) and open-source LLMs.
• Experience deploying solutions on Azure (preferred) or other major cloud platforms.
• Strong problem-solving skills with a focus on building, not theory.

Health of the metier

• The metier is well supported by the data scientist network with proposals for improvements to develop people, technos, processes.