Power Systems Load Forecasting Support Engineer

Remote option for senior candidates, occasionally travel to office location (Holyoke, MA) is beneficial

Duration: 12 months

We are seeking a Power Systems Load Forecasting Support Engineer to provide the IT support for maintaining and optimization of our electricity demand forecasting processes. This role supports grid operations, with responsibilities starting from entry-level (data preparation, process support) to senior-level (process oversight, strategic improvements). Candidates should have experience in load forecasting processes, strong Python skills, Oracle SQL proficiency and basic ML/AI familiarity.

Key Responsibilities:

• Provide IT support to load forecasting processes by collecting, and analyzing data (e.g., historical and actual weather, behind-the-meter (BTM) photovoltaic (PV) and load data).

• Use Python for data processing, automation, and visualization (Pandas, NumPy, Matplotlib).

• Assist in validating forecast outputs, calculating error metrics (e.g., MAPE, RMSE), and identifying process improvements.

• Maintain and troubleshoot load forecasting tools and associated applications.

• Collaborate with system operations and planning teams to ensure load forecasts meet operational needs.

• For senior roles: Oversee forecasting workflows and recommend process enhancements incorporating ML/AI insights.

• Integrate software solutions across multiple applications, systems, and databases

• Follow Change Management and Software Development Life Cycle (SDLC) policies and procedures: Development of Functional Requirements, Develop Application Design, Build and Unit Test Software, Accept Vendor Software for Testing, Conduct Product Testing, and Perform Production Migration.

• Direct the installation of fixes, enhancements, and upgrades to supported systems

• Meeting deadlines while maintaining high quality deliverables under changing requirements.

• End to end ownership of assigned tasks.

Education/Experience:

• Mid: Bachelor’s/Master’s, 3-5 years in load forecasting or energy analytics support.

• Senior: Master’s/PhD preferred, 6+ years, with load forecasting process leadership experience

Technical Skills:

• Experience supporting load forecasting processes (e.g., demand drivers, data workflows).

• Proficient in Python (Pandas, NumPy, Seaborn) for data handling and visualization.

• Basic understanding of ML/AI concepts (e.g., regression, time-series) for process support.

• Proficiency in Oracle SQL for efficient querying and management of large datasets in load forecasting systems.

Soft Skills:

• Excellent analytical and problem-solving skills.

• Strong communication and technical writing abilities.

• Ability to work collaboratively with cross-functional teams (engineers, data scientists, operations).

• Self-driven, with the ability to manage multiple priorities in a fast-paced environment.