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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Electrical Engineering principles and machine-learning classification validation, with strong skills in data analysis and presentation. Capable of developing models for system performance and effectively communicating findings to clients and team members.
Highest-signal resume keywords
Electrical Engineering DegreeMachine-Learning Classification ValidationPython ProgrammingData AnalysisPresentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Circuit AnalysisModel DevelopmentWaveform Pattern AssociationEvent Classification TaxonomyTime-Series Data Review
Soft Skills
Interpersonal SkillsPublic SpeakingWriting SkillsQuick Learner
Tools & Technologies
Cascadence Platform
Industry Keywords
Electrical Power EngineeringSTEM BackgroundEvent Point-On-WaveSpectral EnergyFrequency Content
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Review three-phase voltage and current waveform time-series data captured and displayed on the Cascadence platform
- Validate machine-learning classifications or assign the appropriate classification
- Use electrical power engineering and circuit analysis knowledge to develop models for measured-system performance
- Support new event classifications and determine event point-on-wave, spectral energy, and frequency content
- Potentially interface with clients
- Visually associate waveform patterns and apply transforms to validate classifications
- Understand and explain the taxonomy of event classifications
- Potentially train and supervise junior staff
- Develop documents, spreadsheets, and presentations
Requirements
What you’ll need- Recently graduated or 1-2 years commercial experience
- Degree in Electrical Engineering, Physics, or another related STEM background highly advantageous
- Solid writing and presentation skills
- Some experience with Python advantageous
- Ability to learn quickly
- Interest in Electrical Engineering
- Good interpersonal skills
- Some public speaking ability
Benefits
Comp & perks- Flexible hours
- WFH (1-2 days in the office P/W)
- Regular social events
- Great coffee and snacks
- Free parking
- Ride to work scheme
- Bike racks
- Shower facilities
- Supplied with a MacBook Pro
- Company-paid training services
- Multiple routes of progression within the company