AI Applications Analyst jobs in United States
info-icon
This job has closed.
company-logo

NRECA · 1 month ago

AI Applications Analyst

NRECA is a unique national trade association providing advocacy and support services to electric cooperatives. The AI Applications Analyst will support the Business & Technology Strategies team in translating AI/ML applications for the electric power industry, contributing to research and member engagement efforts to enhance grid performance and operational efficiency.

CommunitiesElectronicsEnergy
check
Comp. & Benefits

Responsibilities

Under guidance, assists in investigating and monitoring emerging AI/ML technologies, tools, and trends across the utility sector, identifying opportunities for application to electric cooperatives. Contributes to landscape analyses reports on adoption in utilities, energy markets, federal agencies, and adjacent industries
Contributes to identification and documentation of AI/ML use cases in areas such as load forecasting, anomaly detection, asset health monitoring, outage prediction, vegetation management, customer engagement, and work-management optimization. Assists in gathering requirements through interviews, data reviews, and collaboration with cooperative subject-matter experts
Analyzes utility datasets (AMI, SCADA, GIS, OMS, CIS, weather, DER, etc.) to support proof-of-concept modeling. Develops prototype scripts and notebooks to test AI approaches, applies ML workflows from preprocessing to model evaluation. Contributes to development of material for training cooperative staff in feature exploration, benchmarking, and model assessment
Supports and tracks AI exploration projects, pilots, and demonstrations involving multiple cooperative partners. Maintains a portfolio of use cases with status updates, lessons learned, and business value, and contributes to reports, grant proposals, and internal business cases to advance cooperative-led research initiatives
Assists in planning and tracking AI exploration projects and pilots, as well as association-led research projects. Supports planning and scheduling, and contributes to reports, grant proposals, or internal business cases, as needed

Qualification

Machine Learning WorkflowsData AnalysisAI/ML ApplicationsSoftware Development ToolsElectrical Grid KnowledgeData Mining ConceptsMicrosoft OfficeCollaboration SkillsCommunication Skills

Required

Bachelor's degree Computer Science, Electrical Engineering, Data Science or related field
1 or more years of experience gained through professional work, coursework, capstone projects, or internships applying machine learning workflows (data preprocessing, feature engineering, model training/evaluation)
Experience with modern software development and project management tools
Knowledge of electrical grid, power distribution networks and power engineering terms
Knowledge of general mathematics, advanced mathematics, linear algebra, multivariate calculus, matrix operations, operations research, machine learning algorithms, statistical methods and artificial intelligence and programming
Knowledge of Data mining and warehousing concepts, big data and applying machine learning concepts and software packages for data analytics
Ability to apply AI/ML methods to real‑world problems, ideally in energy, utilities, or other complex industries
Ability to use Microsoft Office tools (Excel, Word, Outlook, Power Point) and to operate various office equipment such as personal computer, copier, printer, fax machine or other job-related equipment
Ability to report to the office when required

Preferred

1 more years of professional work experience related to AI/ML

Company

NRECA

twittertwittertwitter
company-logo
NRECA is the national organization dedicated to representing the interests of electric cooperatives and the consumers they serve.

Funding

Current Stage
Late Stage
Total Funding
$15M
Key Investors
US Department of Energy
2022-11-01Grant· $15M

Leadership Team

leader-logo
Jim Matheson
CEO
linkedin
leader-logo
Jeffrey Connor
Chief Operating Officer
linkedin
Company data provided by crunchbase