1 час назад
Expert, Quantitative Power System Analyst (AI)
129 000 - 207 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Expert, Quantitative Power System Analyst (AI): Developing predictive grid intelligence platforms and Distribution System State Estimation capabilities with an accent on machine learning, artificial intelligence, physics-based modeling, and digital twin technologies. Focus on integrating SCADA, AMI, DER, outage, weather, and asset data to forecast circuit-level grid conditions, identify emerging risks, and improve reliability and resilience.
Location: Hybrid in Oakland, California; office attendance required at least two or three days per week
Salary: $129,000–$207,000 per year, plus eligibility for discretionary incentive compensation
Company
operates an electric transmission and distribution utility focused on reliability, resilience, and grid modernization.
What you will do
- Lead the development and deployment of Distribution System State Estimation and predictive analytics capabilities.
- Design and operationalize grid intelligence platforms using SCADA, AMI, DER, outage, weather, and asset health data.
- Develop real-time and forecasted visibility into distribution circuit conditions, asset health, operational risk, and reliability outcomes.
- Establish technical standards and best practices for digital grid modeling, forecasting, and advanced analytics.
- Identify future challenges, develop recommendations, and create innovative quantitative models, tools, and processes.
- Provide technical leadership, assess third-party work, and coach, mentor, and train colleagues.
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 6 years of job-related experience; alternatively, a master’s degree with 5 years or a doctorate with 3 years of experience.
- Experience developing complex quantitative models and analytical assumptions.
- Ability to work from the Oakland office at least two or three days per week.
- Strong capability in predictive grid intelligence, reliability analytics, and data-driven decision-making.
Nice to have
- Master’s degree or equivalent experience in power system engineering.
- Eight years of job-related experience.
- Experience with machine learning, artificial intelligence, physics-based modeling, and digital twin technologies.
Culture & Benefits
- Hybrid work model with remaining workdays available remotely depending on business needs.
- Opportunity to influence enterprise-wide reliability strategy and grid modernization.
- Participation in industry-wide best-practice development and technical leadership.
- Eligibility for discretionary incentive compensation programs.
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