Lead Data Scientist (F/M)

Contexte

Dans le cadre du développement stratégique de l’IA chez ACC, nous recherchons un Lead DataScientist pour piloter les projets d’intelligence artificielle, encadrer les pratiques de machine learning et assurer la mise en production des modèles dans un environnement industriel exigeant. Ce poste est une évolution du rôle de DataScientist, avec une dimension de leadership technique et de mentoring renforcée.

As part of ACC’s strategic development of AI capabilities, we are looking for a Lead Data Scientist to oversee artificial intelligence projects, guide machine learning practices, and ensure the industrial deployment of models in a demanding production environment. This role is an evolution of the Data Scientist position, with a stronger focus on technical leadership and mentoring.

Main Missions / Missions Principales

• Design, industrialize, and deploy AI solutions for battery manufacturing projects (lifetime optimization, product quality, predictive maintenance, etc.)
• Provide technical oversight for AI projects in collaboration with Data Scientists, Data Engineers, DevOps, and business teams
• Implement MLOps best practices (CI/CD, monitoring, drift management, performance optimization)
• Mentor junior profiles and promote AI best practices within the Data team
• Conduct technology watch and contribute to strategic decisions regarding AI tools and architectures

Responsibilities

• Design, develop, and deploy AI models (Machine Learning, Computer Vision, LLMs) addressing business needs (product quality, process optimization, predictive maintenance, etc.)
• Ensure production deployment and monitoring of models by applying MLOps best practices (CI/CD, monitoring, drift management, performance optimization)
• Manage the delivery of AI workpackages: planning, deliverable tracking, coordination of internal and external resources, reporting
• Collaborate with Data Engineers to guarantee data quality, availability, and governance
• Provide technical leadership on AI projects and support junior Data Scientists in developing their skills
• Contribute to technology watch and continuous improvement of AI and MLOps practices

Profile

Technical Skills

• Languages: Python (expert), SQL
• AI/ML Libraries: PyTorch, TensorFlow, Scikit-learn, OpenCV, MLflow
• Platforms: Azure, Databricks, Spark ML
• DevOps/MLOps Tools: GitLab, Azure DevOps, Databricks Asset Bundle, Docker, Kubernetes, Airflow, Terraform
• Databases: PostgreSQL, MinIO/S3, Neo4J
• Environments: PyCharm Pro with AI assistant, VSCode

Profile Recherché / Desired Profile

• Master’s degree or PhD in Computer Science, Applied Mathematics, or a related technical field
• Proven experience (5+ years) in AI/ML within an industrial environment
• Hands‑on experience deploying AI models to production, managing pipelines, and implementing CI/CD
• Ability to provide technical leadership, share knowledge, and support team skill development
• Excellent communication skills, strong pedagogical approach, analytical and synthesis abilities
• French: fluent; English: fluent to bilingual