Lead Data Scientist (F/M)
Role details
Job location
Tech stack
Job description
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 :
- 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, * La conception, l'industrialisation et le déploiement de solutions IA dans le cadre de projets liés à la fabrication de batteries (optimisation de la durée de vie, qualité produit, maintenance prédictive…)
- L'encadrement technique des projets IA, en lien avec les Data Scientists, Data Engineers, DevOps et métiers
- La mise en place de bonnes pratiques MLOps (CI/CD, monitoring, gestion des dérives, performance)
- Le mentoring des profils juniors et la diffusion des bonnes pratiques IA au sein de l'équipe Data
- La veille technologique et l'orientation stratégique sur les outils et architectures IA
Responsabilités :
- Concevoir, développer et déployer des modèles IA (Machine Learning, Computer Vision, LLM) répondant aux besoins métiers (qualité produit, optimisation process, maintenance prédictive…)
- Assurer la mise en production et le suivi des modèles en appliquant les bonnes pratiques MLOps (CI/CD, monitoring, gestion des dérives, optimisation des performances)
- Gérer la livraison des workpackages IA : planification, suivi des livrables, coordination des ressources internes et externes, reporting
- Collaborer avec les Data Engineers pour garantir la qualité, la disponibilité et la gouvernance des données
- Encadrer techniquement les projets IA et accompagner les Data Scientists juniors dans leur montée en compétences
- Contribuer à la veille technologique et à l'amélioration continue des pratiques IA et MLOps
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
Requirements
Do you have experience in Terraform?, Do you have a Master's degree?, * 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