Senior Data Scientist, Electric Asset Risk & Insights

PG&E; Oakland (CA); Hybride; USD 100 000 - 169 000; Plein temps

Résumé du poste

PG&E is seeking a Senior Quantitative Analyst to apply advanced analytics to electric distribution asset insights, identify failure causes, and detect adverse trends. You will work across a modern stack including Python, SQL, and Palantir Foundry to build data-driven risk mitigation strategies and AI-enabled solutions.

You will collaborate with engineers, asset managers, and Field teams to ensure outputs are actionable and aligned with grid design, operation and maintenance.

Qualifications

• Bachelor’s degree in Data Science, ML, CS, Physics, Econometrics, Economics, Engineering, Math, Applied Sciences, Statistics, Business or equivalent.
• Job-related experience: 4 years (minimum).
• OR Master’s Degree and 3 years of job-related experience; OR Doctorate and 1 year.

Responsabilités

• Researches and applies data science principles to inform engineering and business decisions in electric distribution asset performance.
• Creates data mining architectures, models, protocols, statistical reporting, and analytical methodologies to identify trends and failure patterns in data.
• Extracts, transforms, and loads data from PG&E sources to support feature engineering and analytics workflows.
• Applies data science, ML, and AI methods to develop predictive or optimization models for asset failure analysis and risk mitigation.
• Partners with engineers, asset managers, compliance, inspections, wildfire risk and operations teams to ensure outputs are actionable.
• Serves as technical lead for development of analytical models with sound methodology and documentation.
• Develops and presents complex analytical topics to employees and stakeholders at different levels.

Connaissances

Quantitative modeling

Data science

Machine learning

Python

SQL

Communication

Energy systems

Engineering knowledge

Formation

Bachelor's degree in related field

Master's degree

Doctorate

Description du poste

PG&E is seeking a Senior Quantitative Analyst to apply advanced analytics to electric distribution asset insights, identify failure causes, and detect adverse trends. You will work across a modern stack including Python, SQL, and Palantir Foundry to build data-driven risk mitigation strategies and AI-enabled solutions.

You will collaborate with engineers, asset managers, and Field teams to ensure outputs are actionable and aligned with grid design, operation and maintenance.