Pacific Gas and Electric Company · 1 day ago
Expert Data Scientist
Oakland
Full-time
Hybrid
Senior Level
$140K/yr - $238K/yr
6+ years expPacific Gas and Electric Company is seeking an experienced data science professional to join the Electric Compliance Assurance, Analysis & Intake Team as a Data Scientist, Expert. This role will focus on developing advanced machine learning and predictive modeling solutions to improve electric and safety incident classification, reduce CPUC late reporting violations, predict compliance issues, and accelerate root cause evaluations.
EnergyEnergy EfficiencyNatural ResourcesOil and Gas
Responsibilities
Automated Incident Classification: Develop NLP-based and supervised learning models (e.g., logistic regression, Naive Bayes) to classify electric incidents as reportable vs. non-reportable; implement multiclass classification to identify safety incident type, severity, and other attributes
Predictive Violation Risk: Build predictive models to assess risk of CPUC Notice of Violation (NOV) for new incidents; analyze historical violations and identify patterns by asset type, region, and reporting type; apply multi-label classification to assign (CPUC General Order) GO rules to incidents
Root-Cause Clustering & Archetypes: Use unsupervised learning to discover recurring incident archetypes that inform preventative programs and corrective actions; generate cluster profiles, stability scores, and mappings from clusters to corrective actions
Cause Evaluation Modeling: Apply decision trees, random forests, and gradient boosting to recommend evidence-based root causes
Compliance Drift & Model Monitoring: Establish continuous monitoring for deployed models to detect input data drift, label shift, performance decay, and regulatory changes
Technical Development & Collaboration: Extract, transform, and load data from multiple PG&E systems for feature engineering; write modular, reusable Python code for data science workflows; partner with sponsor departments and subject matter experts to ensure models align with business needs; present findings and recommendations to senior leadership and act as peer reviewer for complex models
Active participation in the external data science/AI/ML community of practice (e.g., volunteering in professional organizations, conference presentations, publications, or similar activities)
Competency with data science standards and processes (model evaluation, optimization, feature engineering) and best practices for implementation
Knowledge of industry trends and current issues in data science as demonstrated through peer-reviewed publications, conference presentations, or open-source contributions
Proficiency with commonly used data science and/or operations research programming languages, packages, and tools for building ML models and algorithms
Ability to explain technical concepts in breadth and depth, including statistical inference, ML algorithms, software engineering, and model deployment pipelines
Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders
Strong foundation in mathematical and statistical principles underpinning data science
Ability to develop, coach, teach, and mentor others to meet both career and organizational goals
Qualification
Required
Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
6 years in Data Science (or no experience, if candidate possess a Doctoral Degree or higher)
Preferred
Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
Proficiency in Python for data science (pandas, scikit-learn, NLP libraries)
Experience with supervised and unsupervised learning, classification, clustering, and predictive modeling
Strong understanding of feature engineering and model evaluation
Ability to work with large, complex datasets from multiple sources
Skilled in presenting technical findings to non-technical audiences
Company
Pacific Gas and Electric Company
Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States.
10001+ employees
H1B Sponsorship
Pacific Gas and Electric Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (42)
2024 (32)
2023 (14)
2022 (22)
2021 (16)
2020 (18)
Funding
Current Stage
Public CompanyTotal Funding
$30.29BKey Investors
DOE Loan Programs OfficeUS Department of Energy
2024-12-17Post Ipo Debt· $15B
2024-12-02Post Ipo Debt· $2.35B
2024-09-24Grant· $34.5M
Leadership Team
Patricia Poppe
Chief Executive Officer, PG&E Corporation
Sumeet Singh
Chief Executive Officer at Pacific Gas and Electric Company and EVP, Energy Delivery
Recent News
2026-01-07
San Gabriel Valley Tribune
2026-01-06
2025-12-31
Company data provided by crunchbase