Forecast Model Analyst: Hybrid Energy Forecasting & ML

Remote Genie; Northern (KY); Hybrid; USD 52,000 - 87,000; Full time

Job summary

The California ISO is seeking a Forecast Model Analyst to advance short‑term load, wind, solar, and uncertainty forecasts using statistics, machine learning, and numerical weather prediction. You will develop uncertainty quantification methods, evaluate model performance, and apply data analytics to evolving grid technologies while collaborating with internal stakeholders.

This role supports hybrid work arrangements and requires strong programming skills in Python, SQL, and R, plus excellent

Qualifications

• Bachelor’s degree in Engineering, Math, Statistics, CS, or related field; Master’s preferred.
• 2+ years of forecasting experience (Load/Wind/Solar/Uncertainty) using ML or AI.
• Proficient in Python, SQL, R; experience with data analysis and forecasting models.

Responsibilities

• Develop forecasting tools and data processes for short-term load, wind, solar, and uncertainty.
• Work with large datasets and build automated workflows using Python, SQL, R.
• Collaborate with stakeholders to deploy forecasting systems and monitor performance.

Skills

Python

SQL

R

Machine Learning

Education

BA/BS in relevant field

Master's degree preferred

Tools

VBA

Microsoft Office

Job description

The California ISO is seeking a Forecast Model Analyst to advance short‑term load, wind, solar, and uncertainty forecasts using statistics, machine learning, and numerical weather prediction. You will develop uncertainty quantification methods, evaluate model performance, and apply data analytics to evolving grid technologies while collaborating with internal stakeholders.

This role supports hybrid work arrangements and requires strong programming skills in Python, SQL, and R, plus excellent