Analog Devices is seeking a Principal Data Scientist / ML Engineer to develop and operationalize machine learning solutions within manufacturing and supply chain contexts. The ideal candidate will possess a strong foundation in statistics and machine learning, combined with practical software engineering skills
Job Summary
Analog Devices is seeking a Principal Data Scientist to bridge physical and digital worlds through advanced analytics in manufacturing and supply chain.
The role requires building robust models and productionizing solutions that are reliable, maintainable, and impactful across global operations.
Candidates must possess strong software engineering skills to design scalable data pipelines and implement MLOps best practices for continuous monitoring.
Matching Summary
Match Score: 85
Analog Devices is seeking a Principal Data Scientist / ML Engineer to develop and operationalize machine learning solutions within manufacturing and supply chain contexts. The ideal candidate will possess a strong foundation in statistics and machine learning, combined with practical software engineering skills.
Skills & Requirements
Must-have
Machine learning model deployment
Python programming skills
MLOps and CI/CD practices
Statistical analysis and modeling
Production-grade ML pipelines
Nice-to-have
Semiconductor manufacturing experience
Supply chain domain expertise
Cross-functional collaboration skills
Root cause analysis capabilities
Explainable AI requirements
Key Requirements
Bachelor's, Master's, or PhD in quantitative field
Experience deploying ML models in production
Strong Python programming background
Knowledge of Git, testing, and CI/CD
US Citizenship or Permanent Resident status required
Work Rights
Must have US citizenship or Permanent Resident status