Data Scientist, Demand Forecasting & AnalysisNew

About the Role

Key Responsibilities

• Design, develop, and maintain forecast models (e.g., regression, machine learning, analytical models) and data sets.
• Implement and maintain data quality control processes to ensure clean datasets for model training.
• Create functional tests to verify forecast system changes and ensure improvements are achieved without defects.
• Perform forecast verification analyses and exploratory data analyses of demand patterns.
• Analyze and visualize large data volumes using high-level programming/scripting languages and create impactful charts for stakeholders.
• Review peer models and datasets, suggest improvements to enhance performance, maintainability, and standards compliance.
• Collaborate with Operations, Software Development, IT teams, and Project Managers to manage forecast model changes and supporting systems.
• Coordinate with neighboring ISOs and regional/national reliability councils as appropriate.
• Evaluate new technologies, tools, and datasets, and incorporate them into forecast development processes.
• Document tools, designs, datasets, and procedures within the department.
• Respond to stakeholder feedback, troubleshoot issues, and suggest improvements.
• Mentor and coach Associate Data Scientists.
• Support daily review of Day-Ahead and Real-Time energy and solar forecasts, recommend corrective actions, and revise models annually.
• Maintain databases of actual and forecasted energy, weather, and solar data.
• Monitor forecast accuracy monthly and perform annual assessments under various weather conditions.
• Evaluate weather and solar forecast services and communicate forecast updates and reports.
• Develop long-term energy and demand forecasts, including demand-side impacts and budget forecasts.
• Prepare reports and presentations for market participants and coordinate the annual Load and Capacity Data Report.

Requirements

• Bachelor's Degree in Mathematics, Economics, Data Science, or related discipline.
• Three or more years of experience in data science, load forecasting, operations research, load research, applied statistics, mathematics, or meteorology, or equivalent combination of education and experience.
• Ability to analyze and interpret energy forecasting and statistical concepts and methodologies.
• Ability to interpret technical and regulatory documents and write reports and procedures.
• Proficiency or aptitude in MetrixND, SAS/Python, Excel, OSIsoft PI, SQL, VBA, MS Access, PowerPoint, and other proprietary tools.
• Basic knowledge of GIS software, primarily the ESRI ecosystem.
• Competency in Windows environment using MS Office, email, and internet applications.
• Excellent interpersonal, organizational, and teamwork skills.
• Ability to read, analyze, and interpret general business periodicals, professional journals, and technical procedures.
• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Ability to work independently with minimal supervision.

Nice to Have

• Experience with forecasting models, statistical inference, and engineering techniques.
• Knowledge of regional and national reliability standards.
• Experience with high-level software programming tools and data pipelines.
• Familiarity with demand-side technologies such as solar PV, energy storage, and electric vehicles.

Qualifications

• Bachelor's Degree in Mathematics, Economics, Data Science, or related discipline.
• Three or more years of relevant experience or equivalent training.

Benefits & Perks

• Competitive salary range of $68,900 - $115,200 USD.
• Comprehensive benefits package and reward programs.
• Flexible work environment balancing onsite and remote work, with several days onsite required.
• Opportunities for professional development, mentoring, and growth.