Principal Data Science Analyst
Core
Design and implement AI/ML strategy for Manufacturing Sciences to optimize global manufacturing operations and enable autonomous process control.
Role type
Principal Data Science Analyst (Strategy & Leadership)
Builds
Scalable AI/ML platforms and roadmaps for manufacturing optimization
Domain
Pharmaceutical manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Advanced ML/AI (Classical ML, Deep Learning), MLOps at scale, Python, SQL, Distributed computing (Spark, Kubernetes), Model governance, Regulatory compliance
Preferred skills
Pharma/biotech/chemical manufacturing datasets, Workflow automation (Airflow, n8n), Cloud deployment (Docker, Kubernetes, Azure ML, AWS Sagemaker)
Technologies
Python, SQL, Spark, Kubernetes, Airflow, n8n, Docker, Azure ML, AWS Sagemaker
Responsibilities
Lead global AI/ML initiatives across 20+ manufacturing facilities; Architect AI platforms integrating real-time manufacturing data with cloud MLOps environments; Drive innovation in AI/ML manufacturing optimization and autonomous process control; Establish standards for model governance, bias mitigation, and regulatory compliance; Mentor data scientists and collaborate with Manufacturing Sciences SMEs, IT, engineering and quality business functions; Translate emerging AI/ML trends into practical applications that support Manufacturing Sciences decision-making and operational goals
Seniority
Principal, strategy & mentorship