Hybrid, Remote option for senior candidates; Duration: 12 months.
Provide IT support to load forecasting processes by collecting and analyzing data (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.
Requirements
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.
Experience supporting load forecasting processes (e.g., demand drivers, data workflows).
Proficient in Python (Pandas, NumPy, Seaborn) for data handling and visualization.
Proficiency in Oracle SQL for efficient querying and management of large datasets in load forecasting systems.
Basic understanding of ML/AI concepts (e.g., regression, time-series) for process support.
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.
Candidates must be authorized to work in the United States.
Candidates will be required to pass a background check and drug screening.
Benefits
The base pay range for this role is being finalized. A good-faith pay range or fixed pay rate will be provided to all applicants before any interview or offer.
MWResource offers medical, dental and vision coverage through Capital Blue Cross.
Short- and long-term disability coverage.
Employer paid life insurance.
Participation in the MWResource 401K plan for US based consultants.
Applications accepted on a rolling basis until filled.
MWResource does not discriminate based on race, gender, color, religion, national origin, age, disability, veteran status, or anything else that makes you part of any group.
Candidates must be authorized to work in the United States.
Candidates will be required to pass a background check and drug screening.
Hybrid work with remote option for senior candidates.
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