Strong background in machine learning and statistics
Experience deploying ml models in production
Proficiency in python and software engineering best practices
Analog Devices is seeking a Principal Data Scientist / ML Engineer to develop and deploy machine learning solutions within their manufacturing and supply chain sectors. The ideal candidate will possess a strong foundation in statistics and machine learning, alongside robust software engineering skills
Job Summary
Analog Devices is a global semiconductor leader bridging the physical and digital worlds to enable breakthroughs at the Intelligent Edge.
This role requires a full stack data scientist who can move seamlessly from exploratory analysis to production deployment and operationalization.
The ideal candidate will partner with manufacturing engineers and supply chain teams to identify high-value problems and convert them into deployable solutions.
Matching Summary
Match Score: 85
Analog Devices is seeking a Principal Data Scientist / ML Engineer to develop and deploy machine learning solutions within their manufacturing and supply chain sectors. The ideal candidate will possess a strong foundation in statistics and machine learning, alongside robust software engineering skills.
Skills & Requirements
Must-have
Strong background in machine learning and statistics
Experience deploying ML models in production
Proficiency in Python and software engineering best practices
Experience building data pipelines and large-scale datasets
Familiarity with MLOps concepts and CI/CD workflows
Nice-to-have
Experience in semiconductor manufacturing or industrial analytics
Ability to frame ambiguous business problems
Strong communication skills for cross-functional collaboration
Knowledge of operations research and optimization techniques
Key Requirements
Bachelor's, Master's, or PhD in quantitative field
US Citizenship or Permanent Resident status required for export control
Work Rights
Must have US citizenship or Permanent Resident status