Forecast Model Analyst - Remote

Overview

The California Independent System Operator (ISO) manages the flow of electricity across the high-voltage, long-distance power lines that make up 80 percent of California's power grid. We safeguard the economy and well-being of 30 million Californians by operating the grid reliably 24/7.

As the impartial grid operator, the California ISO opens access to the wholesale power market that is designed to diversify resources and lower prices. It also grants equal access to 25,865 circuit-miles of power lines and reduces barriers to diverse resources competing to bring power to customers.

The California ISO's function is often compared to that of air traffic controllers. It would be grossly unfair for air traffic controllers to represent one airline and profit from allowing that company's planes to go through before others. In the same way, the California ISO operates independently—managing the electron traffic on a power grid we do not own—making sure electricity is safely delivered to utilities and consumers on time and reliably.

The California ISO is committed to the health, safety, and work/life integration of its employees, and is proud to offer flexible work arrangements. This position would be eligible to participate in a hybrid work capacity,

Relocation assistance is available.

In Short

• Participates in developing programs for forecasting model evolution.
• Utilizes Big Data, Machine Learning, and AI for Short Term Forecasting.
• Enhances energy efficiency and demand response models.
• Validates and prepares large datasets for analysis.
• Researches and develops new forecasting tools.
• Coordinates Short Term Forecasting projects.
• Conducts post-analysis to evaluate forecast accuracy.
• Stays updated on forecasting developments.
• Works effectively in a team environment.
• Communicates results and seeks improvements.

Requirements

• Bachelor's degree in Engineering, Mathematics, Statistics, or related field.
• Two or more years of related experience.
• Experience in forecasting using machine learning techniques.
• Knowledge of electricity market designs and power system operations.
• Familiarity with programming languages such as SQL, Python, and R.
• Excellent analytical and communication skills.
• Ability to work independently and under pressure.
• Self-motivated with problem-solving skills.
• Experience in data management and scientific application processing.
• Research experience in Machine Learning and Neural Networks.

Benefits

• Flexible work arrangements.
• Relocation assistance available.
• Confidentiality of information according to EEO guidelines.