Principal, Quantitative Analyst: Asset Failure Analysis, Electric Asset Strategy (Flexible location)

Pacific Gas and Electric Company; Oakland (CA); Hybride; USD 140 000 - 251 000; Plein temps

Résumé du poste

Pacific Gas and Electric Company is seeking a Principal Quantitative Analyst to advance asset insights for the Distribution Asset Risk Management team. You will develop scalable analytical solutions using structured and unstructured data across PG&E and apply AI/ML to enhance failure review and risk mitigation.

You will work across a modern analytics stack including Python, SQL, Palantir Foundry and BI tools, collaborating with engineers, asset managers, and regulatory teams to drive actionable

Qualifications

• Expertise in quantitative energy system modeling and analysis.
• Knowledge of data science, machine learning, operations research, engineering, or economics analytical modeling tools and programming languages.
• Experience at electric utilities, regulatory agencies, or energy market participants.
• Demonstrated ability to translate complex analytical issues into actionable insights.

Responsabilités

• Manages cross-functional and cross-company projects and defends findings to leadership.
• Develops best practices and models with utilities and industry groups.
• Develops and evaluates advanced quantitative tools and analyzes solutions.
• Identifies future challenges and innovates on models and assumptions.
• Coaches and mentors others.
• Influences policy and program strategy at utilities and regulators.
• Sponsors testimony on complex analysis and policy issues.
• Assesses third-party work and aligns with internal outputs.
• Improves business processes through quantitative analytics.
• Builds relationships with stakeholders and represents PG&E at external forums.
• Creates data mining architectures and analyses to identify failure patterns.
• Applies data science, ML, and AI to develop predictive models for asset failure risk.
• Partners with engineers and asset teams to ensure actionable outputs.

Connaissances

Python

SQL

Palantir Foundry

BI tools

Formation

Bachelor’s Degree in Data Science / related field

Master’s Degree

Doctorate

Description du poste

Requisition ID# 175205

Job Category: Business Operations / Strategy

Job Level: Manager/Principal

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cotati; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Pleasanton; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Washington; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

Department Overview

Welcome to Electric Asset Strategy (EAS). We are responsible for the Distribution electric system’s asset strategy, standards, procedures and end-to-end risk management for 2.3 million structures. We deliver a risk informed strategic plan, leveraging inspection insights and asset data to drive strategic maintenance and investment decisions.

The Distribution Asset Risk Management (ARM) team—comprising Asset Failure Analysis (AFA), Asset Insights, and Inspections & Maintenance Strategy (I&M)—focuses on continuously improving on how PG&E monitors and maintains its assets to support a resilient, reliable grid to help keep our communities safe.

Position Summary

The Principal Quantitative Analyst will apply advanced quantitative analytics techniques to support electric distribution’s advancement of asset insights, with a focus on identifying equipment failure causes, detecting adverse performance trends, and enabling data-driven insights and engineering-focused risk mitigation strategies. This role will support the Asset Failure Analysis (AFA) team by developing scalable, defensible, and reproducible analytical solutions using structured and unstructured data from across PG&E.

The successful candidate will bring strong technical expertise and be comfortable working across a modern analytics stack, including Python, SQL, Palantir Foundry, and business intelligence tools. This role will also contribute to the adoption and implementation of artificial intelligence and machine learning solutions to enhance, streamline, and automate aspects of asset failure review, trend detection, and decision support.

Possessing passion for data analytics and advancement of electric utility asset management concepts is critical. Your quantitative expertise will enable the Senior Data Scientist to quickly translate analytical insights into practical actions that will align with how electric distribution systems are designed, operated, and maintained. If you are seeking a challenging role that has a real impact in making California safer, come join our team.

Job Responsibilities

• Manages and builds consensus for major cross-functional and cross-company projects and initiatives. Works with all levels of leadership (up to and including executives) across functions to defend findings and recommendations to influence decisions.
• Develops industry-wide best practices and works with other utilities and industry groups in the development of new and innovative data and quantitative models and research.
• Develops and evaluates advanced quantitative tools and examines alternative solutions to a problem, effectively troubleshoots various issues and analyses, and provides findings and recommendations for internal clients and external stakeholders.
• Proactively identifies future challenges and is responsible for innovating on existing models and analytical assumptions of the highest complexity.
• Coaches, mentors, and trains others.
• Influences policy and program strategy at other utilities and regulatory agencies.
• Sponsors testimony on complex analysis and policy issues.
• Provides critical and insightful assessments of third-party work products and comparisons to internal work products.
• Identifies and implements opportunities to improve business processes.
• Develops and maintains relationships with various internal and external stakeholders regarding quantitative modeling and analysis, and represents PG&E at various external forums.
• Creates data mining architectures, models, protocols, statistical reporting, and analytical methodologies to identify trends and failure patterns in structured and unstructured datasets.
• Applies data science, machine learning, and artificial intelligence methods to develop defensible, reproducible predictive or optimization models supporting asset failure analysis and risk mitigation.
• Partners with engineers, asset managers, compliance, inspections, wildfire risk and operations teams to ensure analytical outputs are actionable and aligned with electric distribution system design, operation, and maintenance.

Compensation

PG&E is providing the salary range that the company, in good faith, believes it may pay for this position at the time of the job posting. This compensation range is specific to the job's locality. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed toward the middle or entry point of the range, the decision will be made on a case-by-case basis, taking these factors into account. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

A reasonable salary range is:

Bay Area Minimum: $147,000
Bay Area Mid-Point: $199,000
Bay Area Maximum: $251,000
&/OR
CA Minimum: $140,000
CA Mid-Point: $189,000
CA Maximum: $238,000

Qualifications

Minimum:

• Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business, or equivalent field
• Job-related experience 8 years, OR Master’s Degree and 7 years of job-related, OR Doctorate and 5 years

Desired:

• Advanced Degree
• Job-related experience 10 years

Knowledge, Skills, Abilities, and Competencies:

• Expertise and thought leadership in quantitative energy system modeling and analysis frameworks and techniques
• Knowledge of data science, machine learning, operations research, engineering, or economics analytical modeling tools and programming languages
• Experience at electric or natural gas utilities, independent power producers, wholesale energy market participants, regulatory agencies, consulting firms, or similar organizations
• Demonstrated ability to take a conceptual issue and independently design and complete innovative analysis to draw meaningful conclusions
• Demonstrated ability to lead large and complex projects working with cross-functional teams
• Excellent oral and written communication skills and ability to concisely and strategically convey information based on unique audience needs
• Demonstrated capability in planning and prioritizing work to meet commitments aligned with organizational goals
• Demonstrated integration of LEAN principles into work practices