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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in power system fundamentals and distribution systems, with a strong focus on developing and validating analytical applications and tools using programming languages such as Python and C#. Proficient in applying AI and advanced analytics techniques to enhance utility planning and operations.
Highest-signal resume keywords
Power System FundamentalsSoftware Development Using PythonDistribution System Model ValidationAI And Machine Learning ApplicationsIndustry Modeling Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonC#DelphiJavaOpenDSSCYMESynergiMilsoftPowerFactoryData Cleaning
Tools & Technologies
TensorFlowPyTorchScikit-LearnAMISCADA
Industry Keywords
Distribution SystemsModel VerificationAnalytical StudiesEmerging TechnologiesUtility Measurement Data
Tech Stack
Tools & technologiesDelphiJavaPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Make significant contributions to advanced modeling, simulation, and analytics projects
- Conduct independent research activities with guidance
- Contribute to development of new tools, methodologies, and research approaches addressing industry challenges
- Evaluate emerging technologies and applications through analytical and field-based studies
- Contribute to technical publications, conference papers, webinars, and industry presentations
- Support proposal development and strategic research planning activities
- Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption
- Contribute to development and evaluation of AI-enabled tools and analytics applications for utility planning and operations
- Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration
- Conduct model verification and validation using utility measurement data
- Assess applicability, limitations, and performance of emerging AI technologies within utility environments
Requirements
What you’ll need- Strong knowledge of power system fundamentals, specifically distribution systems
- Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages
- Experience with distribution system model development, validation, and verification
- Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources
- Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation
- Demonstrated experience with industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, or PowerFactory
- Experience applying AI, machine learning, or advanced analytics techniques to power system applications
- Familiarity with TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable
- Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads
- Minimum 2–3 years of engineering, utility, consulting, research, or equivalent experience preferred
Benefits
Comp & perks- Annual incentive program
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- STD/LTD
- Paid family leave
- Life and accident insurance
- Paid time off (flexible vacation, sick leave, and holiday pay)