Senior Data Scientist (Hybrid Schedule)
Tasks
- Analyze data landscape and identify data stream opportunities
- Code deliverables with engineering team
- Develop classifiers and regression models and rules based models
- Develop model evaluation criteria and success criteria
- Develop problem-solving strategies
- Develop solutions for intelligent overloading dynamic ratings failure mode analysis and incipient faults
- Develop web applications using machine learning models
- Lead data science solution brainstorming
- Leverage IED and SCADA data for operational problem prediction
- Support design and execution of asset and grid performance models
- Support digitalization roadmaps
- Support outage management analytics
- Work with IT teams on solution production strategy
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Asset performance | Asset performance management | CI/CD | Classification | Cloud Architecture | Data Mining | Data Science | Data analytics | Digital substations | Electric power | Grid Analytics | IED Data | IED Data Analytics | Machine Learning | Model Evaluation | Modeling | Pattern Recognition | Performance Management | Power Systems | Python | R | Recommendation Systems | Regression | Rules based | Rules-based modeling | SCADA | Shell Scripting | Web development
Education
Roles
Regions
Countries
States
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