Pacific Gas and Electric Company · 1 day ago
Principal Data Scientist
Oakland
Full-time
Hybrid
Senior Level, Lead/Staff
$159K/yr - $236K/yr
8+ years expPacific Gas and Electric Company is seeking a Principal Data Scientist to join their Enterprise Risk Analytics team within the EORM organization. This role involves leading the development and implementation of quantitative risk models for various identified risks and continuously improving risk assessments and analytical tools to support decision-making and regulatory filings.
EnergyEnergy EfficiencyNatural ResourcesOil and Gas
Responsibilities
Quantitative Risk Analytics and Mitigation Evaluation: Apply mathematical, probabilistic, and statistical techniques to objectively quantify the likelihood and impact—financial, operational, safety, and reliability—of identified risks, including but not limited to cybersecurity, physical security, data security, and IT asset failure. Transition risk assessments from subjective ratings to monetized, objective, verifiable, and actionable values to support risk-informed decision-making, investment planning, and risk reduction tracking
Data Management and Model Development: Collect, clean, and transform data from a variety of internal sources to enable high-impact analytics. Research and implement quantitative methods and machine learning models to develop, validate, and visualize robust risk and mitigation models within the organizational environment. Lead the estimation of mitigation effectiveness, calculation of benefit-cost ratios, and evaluation of model assumptions, inputs, and methodologies
Stakeholder Collaboration: Partner with subject matter experts, risk managers, and risk owners to develop credible risk models and integrate quantitative risk assessment into core business and operational processes
Risk Analytics Leadership: Mentor and guide junior staff and risk analysts, standardizing processes and tools across the data science function. Collaborate with analytics platform owners to prioritize and advance scalable risk and mitigation modeling capabilities. Assess and enhance existing risk modeling methodologies to drive continuous improvement
Communication: Prepare and deliver clear, concise documentation and presentations on data sources, methodologies, analyses, results, and validations. Produce model documentation, whitepapers, formal reports, and expert testimony as required
Qualification
Required
Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
8 years in data science (or 2 years, if possess Doctoral Degree or higher, as described above)
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 experience (electric or gas utility, cybersecurity, analytical consulting, etc.), 8 years
Experience in quantifying cybersecurity risk using the FAIR framework (certification preferred)
Experience in quantitative risk analysis or Probabilistic Risk Assessment
Strong understanding of the mathematical, probabilistic and statistical foundations that underpin data science and risk modeling
Proven proficiency in Monte Carlo simulation methods, Bayesian inference, and application of data science and operations research methodologies and tools
Demonstrated expertise in advanced programming, especially in Python; and proficiency in utilizing Git in a team environment
Excellent analytical, problem-solving, research and organizational abilities; attention to detail
Proficiency in synthesizing complex information into clear insights and translating those insights into decisions and actions
Proficiency in model lifecycle management
Strong data management knowledge, including governance, security, and quality best practices
Expertise in data visualization and communicating risk-related modeling results
Proven ability to work independently, proactively improve methods, and adapt to change
Effective communication and collaboration skills with diverse teams and stakeholders
Competency in project management and strong ability to manage multiple tasks under tight deadlines
Current knowledge of industry trends and issues, demonstrated through professional contributions
Ability to translate complex technical insights for various audiences and mentor others
Benefits
PG&E’s discretionary incentive compensation programs
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