The Lead Analyst will serve as a subject-matter expert on energy-efficiency and distributed energy resource technologies, providing actionable research and guidance to utility clients. They will lead the development of technical reports, manage research projects, and engage with clients through advisory calls and industry events.
The Director will lead complex research, evaluation, and advisory engagements for major utility clients while managing multidisciplinary teams and strategic relationships. They are responsible for driving business development, overseeing project financials, and providing expert guidance to ensure high-quality, actionable deliverables.
Lead and oversee transmission planning studies and consulting engagements, including stability, power flow, reliability, short-circuit, and congestion analyses, while serving as the primary client contact. Provide technical oversight and quality assurance, prepare and present reports, mentor junior staff, and contribute to business development and service development.
The Associate Consultant will support applied research and evaluation projects by collecting, organizing, and analyzing qualitative and quantitative data. They will also contribute to client-ready deliverables, including reports, presentations, and data visualizations, while working collaboratively with project teams.
The consultant will perform complex transmission planning studies, including power flow, stability, and reliability analyses to support utility clients. They will also lead project teams, manage technical execution, and engage directly with clients to define study goals and methodologies.
Execute transmission adequacy and reliability assessments for near- and long-term planning horizons using PSS®E and TARA software. Collaborate with utilities, ISOs, and RTOs to identify transmission solutions and support regulatory compliance and grid reliability.
The Data Scientist III will collaborate with cross-functional teams to develop statistical and machine learning models for utility industry applications. Responsibilities include managing data science pipelines, conducting code reviews, and translating complex analytical insights into actionable strategies for clients.
You will embed with utility clients to design and build end-to-end production data platforms, including ingestion, transformation, and orchestration. You will also own the technical architecture of engagements and deliver usable data products that solve complex operational problems.
You will embed with utility clients to design, build, and deploy generative AI and machine learning systems that solve complex operational problems. You will own the end-to-end technical architecture, from discovery and model selection to production deployment and monitoring.
The Technical Consultant will support complex AMI and utility technology implementations by managing testing strategies, data validation, and system integrations. They will also provide hands-on coaching to client teams to establish sustainable data-management and quality-assurance processes.
Lead complex AMI and utility technology initiatives from initiation through implementation for electric, gas, and water clients. Coordinate between utility executives, technical specialists, vendors, and contractors to manage project scope, budgets, and schedules.
Lead applied research, evaluation, and consulting engagements from design through delivery while managing multidisciplinary teams. Advise utility clients by interpreting research findings into actionable insights and managing project scopes, budgets, and client relationships.
Lead full-cycle sales development and executive-level conversations to drive the adoption of data science solutions within the utility industry. Collaborate with subject-matter experts to translate innovative concepts into value-driven messages for prospective clients.
You will design, build, and maintain scalable data pipelines and infrastructure using AWS, Python, and Databricks. Additionally, you will collaborate with cross-functional teams to deliver data products and provide technical mentorship to junior engineers.
Collaborate with cross-functional teams to design, develop, and deploy scalable AI and machine learning products for the utility industry. Build reusable Python packages, design AI system components, and implement monitoring frameworks to ensure model performance and fairness.
