Científico de Datos Senior, Manufactura AI

Placements24; Nice; Presencial; EUR 43 000 - 63 000; Tempo integral

Resumo da oferta

Placements24 seeks a Sr. Data Scientist, Digital Manufacturing to transform production data into actionable analytics and AI applications.

You will leverage sensors, MES, CMMS, and ERP data to build predictive models, optimization solutions, and AI agents that improve manufacturing performance and reduce costs. You will collaborate with Manufacturing, Operations, IT and R&D teams to design scalable data-driven solutions, deploy ML models in cloud environments, and monitor model performance

Qualificações

• Bachelor’s degree in CS/CE/DS/AI/IE or equivalent; advanced degree preferred.
• 5+ years delivering enterprise-scale data science solutions.
• Experience deploying ML/AI in cloud environments (Databricks, AWS).

Responsabilidades

• Develop and deploy advanced analytic solutions for manufacturing data.
• Collaborate with cross-functional teams to design scalable data-driven solutions.
• Prepare data pipelines and ensure data quality for model input.
• Build and evaluate ML models; manage lifecycle from training to monitoring.
• Design AI-powered apps and agents; implement RAG integration.
• Monitor models for performance and optimize cost in production.

Conhecimentos

Python

Machine Learning

Gen AI

Databricks

AWS SageMaker

Big Data

Storytelling

Data Visualization

Communication

Formação académica

Bachelor's degree in CS/CE/DS/AI/IE

Advanced degree preferred

Ferramentas

Databricks

AWS SageMaker

Descrição da oferta de emprego

Placements24 seeks a Sr. Data Scientist, Digital Manufacturing to transform production data into actionable analytics and AI applications.

You will leverage sensors, MES, CMMS, and ERP data to build predictive models, optimization solutions, and AI agents that improve manufacturing performance and reduce costs. You will collaborate with Manufacturing, Operations, IT and R&D teams to design scalable data-driven solutions, deploy ML models in cloud environments, and monitor model performance