Data Scientist

• As a Principal Data Scientist on the Enterprise Risk Analytics team within the EORM organization, you will be responsible for leading the development and implementation of quantitative risk models for identified risks including cybersecurity, physical security, data loss, and IT asset failure
• Your work will influence enterprise prioritization, investment decisions, and regulatory filings (such as Risk Assessment and Mitigation Phase (RAMP) and General Rate Case (GRC))
• You will continuously evaluate and improve quantitative assessments of risk and associated mitigations and controls while refining analytical tools and processes—such as data processing scripts, risk algorithms, Python programs, Excel files, and Palantir Foundry code—to ensure consistent and valuable risk evaluation across the company
• Responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from various sources and at various scales, with the goal of producing actionable insights for strategy, planning, process improvement, and product enhancement
• Additionally, you will support technical development phases for quantitative risk analytics, including data collection, data engineering, modeling, visualization, and user interface design
• You will collaborate with both technical and non-technical coworkers by advising on relevant data collection, resolving analytical and technical challenges, communicating findings and recommendations, and partnering with teams, clients, and senior leadership throughout the development cycle to ensure continuous improvement
• Furthermore, you will review and validate existing methods, assumptions, algorithms, and models, working toward the advancement of risk analytics at PG&E.

Principal Data Scientist

Principal Data Scientist

Group AI Research Product Manager, Data Science

Data Scientist 5

Data Science & Analytics Director