Hybrid Forecasting Scientist — Load, Wind & DERs

California ISO; California (MO); Hybrid; USD 6,199,000 - 8,701,000; Full time

Job summary

California ISO is seeking a Forecast Model Analyst to advance short-term forecasting for load, wind, and solar. You will develop and validate models using Python, SQL, R and related tools, while handling large datasets from weather, consumption, and distributed energy resources.

The role emphasizes uncertainty quantification and new grid technologies. Ideal candidates will have 2+ years in forecasting with ANN/SVM or regression approaches, a background in engineering or math, and strong

Qualifications

• Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Meteorology, Economics, or a closely related field.
• Master’s Degree preferred.

Responsibilities

• Participates in forecasting research, development, and maintenance of tools for short-term load, wind, solar, and uncertainty forecasting.
• Validates and analyzes large datasets (weather, load, renewables, DERs) and develops automated workflows.
• Develops modeling methodologies for DERs, EVs, demand response, energy efficiency, and grid technologies.
• Coordinates forecasting workstreams and collaborates with internal stakeholders to deploy forecasting systems.
• Monitors forecasting innovations and communicates results to management and stakeholders.

Skills

Forecasting

Machine Learning

Python

SQL

R

VBA

Education

Bachelor's degree

Master’s degree preferred

Job description

California ISO is seeking a Forecast Model Analyst to advance short-term forecasting for load, wind, and solar. You will develop and validate models using Python, SQL, R and related tools, while handling large datasets from weather, consumption, and distributed energy resources.

The role emphasizes uncertainty quantification and new grid technologies. Ideal candidates will have 2+ years in forecasting with ANN/SVM or regression approaches, a background in engineering or math, and strong