Position Details

Type Full-Time

Experience mid

Exp. Years 5+ years

Education Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field.

Category Data & Analytics

About this role

Expert quantitative analyst to evaluate PG&E's load management programs using advanced statistical methods and econometrics; manages external consultants, communicates findings to stakeholders, and supports regulatory proceedings.

Key Responsibilities

Lead studies to evaluate performance of PG&E's load management programs and dynamic rates
Communicate evaluation findings to internal and external stakeholders provide recommendations to support energy policy
Sponsor testimonies for regulatory proceedings
Conduct statistical analyses of utility customer data to inform program design and operations
Run cost effectiveness calculation for PG&E's demand response programs

Technical Overview

Focuses on statistical analyses and econometric modeling of large energy program datasets; uses CPUC-approved tools to evaluate demand response and enrollment forecasts; interacts with policy and regulatory teams.

Ideal Candidate

The ideal candidate is an experienced data scientist with 5+ years in energy program evaluation, expertise in load management and demand response, and a strong ability to influence leadership through data-driven insights; proficient with CPUC calculators and regulatory proceedings.

Must-Have Skills

Bachelor's Degree in Data ScienceMachine LearningComputer SciencePhysicsEconometrics or EconomicsEngineeringMathematicsApplied SciencesStatisticsBusiness or equivalent field.6 years of job-related experience OR Master's Degree and 5 years job-related experience

Nice-to-Have Skills

Knowledge of utility operations and California load management programsAdvanced degree in EconomicsStatisticsMathematicsPublic Policy or related fieldExperience influencing leadership through data analysisExperience running CPUC-approved Demand Response Avoided Cost Calculator

Tools & Platforms

CPUC Demand Response Avoided Cost CalculatorStatistical software (RPython)

Required Skills

Data ScienceMachine LearningEconometricsStatisticsEnrollment forecastCost effectiveness calculationRegulatory proceedingsCPUC-approved Demand Response Avoided Cost CalculatorEnergy program evaluationStakeholder communication

Hard Skills

Data ScienceMachine LearningEconometricsStatisticsLarge data setsDemand ResponseLoad Management programsEnrollment forecastCost effectiveness calculationsRegulatory proceedingsCPUC-approved Demand Response Avoided Cost CalculatorEnergy program evaluationData analysisStakeholder communication

Soft Skills

CommunicationLeadership influenceProject managementCollaborationProblem-solving

Industry & Role

Industry Energy

Job Function Expert quantitative analyst for energy program evaluation and regulatory support

Role Subtype Data Scientist

Tech Domains Python, SQL / PostgreSQL, Statistics, Econometrics, Machine Learning

Keywords for Your Resume

Expert Quantitative Analystdata sciencemachine learningeconometricsstatisticsload management programsdemand responsetime-varying ratesclean energy transportationregulatory proceedingsCPUC-approved Demand Response Avoided Cost Calculatorenrollment forecaststakeholdersstatistical analysesenergy program evaluationcost effectivenessenergy policyregulatory documentsdata analysisstakeholder communicationload management

Deal Breakers

Bachelor's degree in data science or related field, 5+ years experience or 6 years with related Master, Strong communication skills

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