Lead Data Scientist, Manufacturing & AI
Tasks
- Conduct code reviews and model reviews
- Define digital manufacturing analytics roadmap with leadership
- Develop AI ML solutions for predictive maintenance and process optimization
- Develop solutions using Microsoft Fabric and Azure AI
- Drive adoption of Industry 4.0 connected assets and IIoT
- Establish data governance and model lifecycle management standards
- Identify high value AI use cases across manufacturing sites
- Integrate historian machine quality maintenance and operational data into analytics
- Lead coach mentor and develop data science and analytics team
- Lead enterprise Manufacturing AI roadmap
- Manage project prioritization workload planning and resource allocation
- Present recommendations and business cases to senior executives
- Translate business strategy into AI and analytics initiatives
Perks/Benefits
- 401k match
- Comprehensive medical, dental, and vision insurance
- Flexible spending account
- Health savings account
- Paid Holidays
- Paid parental leave
- Paid sick days
- Paid vacation
- Training and development programs
- Tuition reimbursement
- Wellness program
Skills/Tech-stack
AI Foundry | Apache Spark | Azure AI | Azure AI Foundry | Azure Databricks | Azure Machine Learning | Computer Vision | Data Governance | Deep learning | Digital Manufacturing | Digital manufacturing platforms | Git | Industrial IoT | Industry 4.0 | Lifecycle Management | MLOps | Machine Learning | Microsoft Fabric | Model Lifecycle | Model Lifecycle Management | OSISoft PI | OSIsoft PI System | Optimization | PI System | Power BI | PySpark | Python | R | SQL | Series forecasting | Tableau | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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