Senior Data Scientist (Hybrid Schedule)
Tasks
- Code deliverables with engineering team
- Design and execute asset and grid performance models
- Develop classifiers and machine learning tools
- Develop model evaluation criteria
- Develop problem solving strategy
- Develop rules based models
- Develop web applications using machine learning models
- Enhance cyber and physical security analytics
- Establish success criteria for solutions
- Lead data science solution brainstorming
- Monitor performance and generate insights
- Perform online testing and parameter estimation
- Predict operational problems using IED and SCADA data
- Support digitalization roadmaps
- Support failure mode and incipient faults modeling
- Support outage management analytics
- Use intelligent overloading and dynamic ratings analytics
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Asset Performance Modeling | Asset performance | CI/CD | Cloud Architecture | Cybersecurity | Data Engineering | Data Mining | Data Regression | Data analytics | Digitalization | Electric power | Electric power systems | Grid Analytics | IED Data | Machine Learning | Model Evaluation | Pattern Recognition | Performance Modeling | Power Systems | Python | R | Recommendation Systems | Rules based | Rules-based models | SCADA | Shell Scripting | Substation Data Analytics | Web development
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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