Forecast Model Analyst (Hybrid)
Core
Develops, implements, and maintains forecasting models for short-term load, wind, solar, and uncertainty to support grid reliability and operational decision-making.
Role type
Senior IC data scientist (energy forecasting)
Builds
Production forecasting analytical tools and probabilistic models for the California power grid
Domain
Energy sector + Data Science / Machine Learning
Deliverable
production ML models
Required skills
Statistical analysis, Machine learning, Artificial intelligence, Numerical weather prediction, Data mining, Probabilistic forecasting, Model tuning, Python, SQL, R
Preferred skills
Open-source project experience, Research in Neural Networks, Knowledge of electricity market designs, Familiarity with ITRON forecast model, VBA
Technologies
Python, SQL, R, VBA, Microsoft Office Suite
Responsibilities
Develop automated workflows and enhance existing forecasting tools; Research and maintain complex energy methodologies for load, wind, and solar; Monitor forecast performance and conduct post-analysis to quantify uncertainty; Collaborate with stakeholders to define requirements and deploy forecasting systems; Evaluate emerging methods in data science and meteorology for grid applications.
Seniority
Mid-Senior, hands-on IC