Director de Data Science para Manufactura Avanzada

Placements24; Nice; Sur place; EUR 43 000 - 63 000; Plein temps

Résumé du poste

Placements24 is seeking a Sr. Data Scientist, Digital Manufacturing, to lead the development and deployment of enterprise-scale data science solutions for manufacturing.

The role focuses on predictive analytics, ML, and AI, leveraging cloud platforms and modern AI tools to drive efficiency and cost savings on production lines. You will collaborate with Manufacturing, Operations, R&D, Quality, IT, and other teams to accelerate data-driven decision making.

Qualifications

• 5+ years delivering enterprise-scale data science solutions.
• Experience deploying ML/AI apps in cloud environments (AWS or Databricks).
• Expert-level Python proficiency.
• Experience with Gen AI and AI agents.
• Manufacturing or industrial environment experience preferred.

Responsabilités

• Develop and deploy advanced analytic decision support solutions for manufacturing data.
• Collaborate with cross-functional teams to design and implement large-scale data-driven solutions and ensure ROI.
• Collect, clean, and pre-process large datasets to ensure model readiness and high data quality.
• Design, build, and deploy AI-powered applications, chatbots, and agents; implement Retrieval-Augmented Generation (RAG).
• Monitor deployed models for performance, accuracy, and latency; manage ML/LLM Ops.

Connaissances

Team player

Adaptability

Attention to detail

Formation

Bachelor’s degree (CS/CE/DS/AI/Industrial Eng)

Advanced degree

Outils

Databricks

AWS SageMaker

Python

ML frameworks

GenAI / AI agents

Cloud ML

OPC-UA / MQTT

Description du poste

Placements24 is seeking a Sr. Data Scientist, Digital Manufacturing, to lead the development and deployment of enterprise-scale data science solutions for manufacturing.

The role focuses on predictive analytics, ML, and AI, leveraging cloud platforms and modern AI tools to drive efficiency and cost savings on production lines. You will collaborate with Manufacturing, Operations, R&D, Quality, IT, and other teams to accelerate data-driven decision making.