Senior, Quantitative Power System Analyst (Machine Learning)

Location: Hybrid in Oakland, California; office attendance is required two or three days per week, with remaining days potentially remote.

Salary: $105,000–$169,000 annually, with a Bay Area midpoint of $137,000. The role is also eligible for discretionary incentive compensation.

Company

hirify.global is an electric utility focused on energy delivery, grid reliability, resiliency, and modernization.

What you will do

• Lead the development and deployment of Distribution System State Estimation and predictive analytics capabilities for real-time and forecasted visibility into distribution grid conditions.
• Design and operationalize grid intelligence platforms integrating SCADA, AMI, DER, outage, weather, and asset health data.
• Develop complex quantitative models and analytical methodologies to identify emerging reliability risks and support asset management.
• Provide recommendations and communicate analytical findings to internal and external stakeholders.
• Collaborate with engineering, operations, asset management, technology teams, utilities, and industry groups.
• Advance data-driven planning, risk-informed investment decisions, reliability improvement, and grid modernization.

Requirements

• Bachelor’s degree in data science, machine learning, computer science, physics, econometrics, economics, engineering, mathematics, applied sciences, statistics, business, or an equivalent field.
• At least 4 years of job-related experience, or a master’s degree with 3 years of experience, or a doctorate with 1 year of experience.
• Ability to complete complex quantitative modeling and analysis with limited support.
• Experience applying machine learning, statistical methods, engineering analytics, and grid modeling techniques.
• Ability to work in a hybrid model from the Oakland office two or three days per week.

Nice to have

• Master’s degree or equivalent experience in power system engineering.
• Six years of job-related experience.

Culture & Benefits

• Work with cross-functional engineering, operations, asset management, and technology teams.
• Contribute to electric reliability, resiliency, and grid modernization initiatives.
• Participate in collaboration with other utilities and industry groups on innovative quantitative models and research.
• Eligible for discretionary incentive compensation programs.