Data Scientist, Transmission ROW Risk Analytics (Hybrid)

PG&E; Oakland (CA); Hybrid; USD 140,000 - 238,000; Full time

Job summary

PG&E is seeking a highly analytical Data Scientist to advance a quantitative risk analysis and predictive analytics capability for Transmission Right of Way risk reduction. You will design data-driven methods to quantify risk, prioritize encroachments, and predict safety and reliability events.

You will partner with cross-functional teams to translate field and asset data into actionable insights, building models for proactive decision-making and improved grid reliability.

Qualifications

• Bachelor's degree in Data Science, Statistics, Applied Mathematics, Engineering, CS, Economics, or related field.
• At least 6 years of experience in data science, predictive analytics, or statistical modeling.

Responsibilities

• Quantitative Risk Modeling: develop risk frameworks and scoring methodologies to estimate likelihood and consequence of events.
• Predictive Analytics & Machine Learning: build models using statistical and ML techniques; identify risk drivers.
• Data Integration & Analytical Pipeline Development: aggregate and clean data from multiple systems; build repeatable pipelines.
• Decision Support & Program Prioritization: translate model outputs into prioritization tools; support planning and investments.
• Monitoring, Validation & Continuous Improvement: track model performance; calibrate and refine methods.
• Cross-Functional Collaboration: work with operations, risk, IT, GIS, and leadership to align analytics with business needs.

Skills

Data science

Predictive analytics

Statistical modeling

Machine learning

Python

R

SQL

Data visualization

Communication

Education

Bachelor's degree

Tools

Power BI

Tableau

Geospatial tools

Job description

PG&E is seeking a highly analytical Data Scientist to advance a quantitative risk analysis and predictive analytics capability for Transmission Right of Way risk reduction. You will design data-driven methods to quantify risk, prioritize encroachments, and predict safety and reliability events.

You will partner with cross-functional teams to translate field and asset data into actionable insights, building models for proactive decision-making and improved grid reliability.