Industrial Data Science & AI Manager
Tasks
- Build data pipelines for industrial analytics
- Collaborate with cross-functional teams
- Deliver business value and ROI tracking
- Develop and deploy machine learning models
- Document and report project outcomes
- Drive AI adoption in shopfloor operations
- Ensure data quality and validation
- Establish data governance standards
- Gather requirements and define scope
- Identify and mitigate project risks
- Lead industrial data science projects
- Manage MLOps machine learning lifecycle
- Manage data science portfolio
- Monitor model performance and KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithmic bias | CI/CD | Continuous Retraining | Data Engineering | Data Governance | Data Lineage | Data Pipelines | Data Preprocessing | Data Quality | Data Visualization | Digital Transformation | Drift monitoring | Experimentation | IoT | KPI Tracking | Lean Manufacturing | Machine Learning | Metadata Management | Model Drift | Model Interpretability | Model Monitoring | Model drift monitoring | Predictive Modeling | Process optimization | Project Management | SCADA | Sensor data | Statistical Analysis | Time Series | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineering | AI Engineering Manager | Data Science | Data Science Manager | Engineering Manager | Manager
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