Data Scientist Expert IA & Machine Learning H/F
StarClay
About the role
About StarClay
The approach of Starclay within the Partenor Group is characterized by a dual Business and IT expertise; placing users at the center of all projects from needs formalization to their training. We position ourselves as a key player in continuous improvement initiatives, particularly through generative AI. Within a rich environment of complex data, you will transform raw data into strategic insights and decision-making tools. You will be involved in the entire chain: from scientific exploration to the industrialization of robust and ethical models.
Your Missions
Exploration & Preparation
- Identify, collect, and prepare internal and external data.
- Deliver enriched datasets and exploratory notebooks to characterize business phenomena.
Advanced Modeling
- Design, develop, and optimize mathematical and AI models (ML, Deep Learning).
- Provide evaluation results and prototypes/demonstrators to validate business value.
Industrialization & Run
- Prepare deployment on production infrastructures by delivering packaged, standardized, and documented code.
- Define monitoring, retraining frequency, and ensure evolutionary maintenance.
Expertise & Acculturation
- Write technical/functional documentation and produce materials for project committees.
- Participate in overall skill development through mentoring and sharing feedback.
Responsible AI
- Ensure compliance with requirements for explainability, ethics, and digital sobriety (AI Act, frugal AI, GDPR).
The Profile We're Looking For
- Graduated from a Bac +5 program (school or university), you have at least 7 years of experience as a data scientist.
- Scientific Expertise: Very solid background in mathematics, statistics, and machine learning algorithms.
- Technical Stack: Proficiency in Python, SQL, and Git (PySpark is a plus). Experience with Agile methods.
- Industrial Culture: Ability to deploy models in a production environment with a business value-oriented approach.
- Regulatory Knowledge: Awareness of AFNOR SPEC 2314 standards, the DATA ACT, and digital accessibility (RGAA).
- Specialties: Generative AI, NLP, Computer Vision, or Operational Research.
Welcome to StarClay
The approach of Starclay within the Partenor Group is characterized by a dual Business and IT expertise; placing users at the center of all projects from needs formalization to their training. We position ourselves as a key player in continuous improvement initiatives, particularly through generative AI.
Skills
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