Senior Data Scientist
Senior Data Scientist in PG&E's Applied Technology Services team builds statistical, probabilistic, and machine learning models to assess asset condition, degradation, and probability of failure across electric transmission and distribution infrastructure. Day to day: ETL and Python-based feature engineering, predictive/risk modeling, uncertainty and scenario analysis, and presenting insights to s
- Compensation
- $126K–$200K / yr
- Location
- Danville, CA, US, 94583
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
- 4 years of data science experience (or 2 years with a Master's Degree)
Nice to have
- Master's Degree 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, renewable energy, analytics consulting, etc.)
- Knowledge of data science standards and processes (model evaluation, optimization, feature engineering) and best practices
- Competency in software engineering, statistics, and machine learning techniques for data science deployment
- Competency in commonly used data science and/or operations research programming languages, packages, and tools
- Hands-on and theoretical experience with data science/machine learning models and algorithms
- Ability to synthesize complex information into clear insights and explain technical concepts (statistical inference, ML algorithms, software engineering, model deployment pipelines)
- Competency in the mathematical and statistical fields that underpin data science
- Mastery in systems thinking and structuring complex problems
- Ability to develop, coach, and teach career-level data scientists in data science/AI/ML
Full description
Requisition ID # 175422
Job Category: Engineering / Science
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: Danville; San Ramon
Department Overview
Electric Transmission & Distribution ensures the delivery of clean, safe, reliable and affordable energy to nearly 16 million people in Northern and Central California. The Electric Transmission & Distribution Team is responsible for ensuring the electric grid's reliability and resiliency through the ongoing maintenance and operations of PG&E's 100,000 miles of distribution lines and over 18,000 miles of Transmission lines. Coworkers in Electric Transmission & Distribution actively engage in the Lean Methodology through the use of visual management in operating reviews to cross-functionally identify and solve problems, and create standard work. By working together as One Electric. One Team. We are delivering for our hometowns. Electric Transmission & Distribution is comprised of approximately 6,500 coworkers.
Position Summary
The Applied Technology Services (ATS) staff provides advanced analytical, modeling, testing, and risk assessment services across multiple disciplines to support company organizations in identifying, quantifying, and addressing complex operational and asset-related risks. The team develops and applies statistical, probabilistic, and machine learning-based approaches to evaluate system performance, asset condition, degradation trends, and probability of failure, enabling data-driven decision making for reliability, resilience, and lifecycle management.
Staff integrate and analyze diverse data sources to develop predictive models, risk metrics, and analytical tools that support asset strategy, maintenance planning, investment prioritization, and operational decision making. Services include asset health assessments, reliability and risk evaluations, failure investigations, scenario analyses, and development of quantitative methodologies for complex infrastructure systems, including transmission and distribution assets, distributed energy resources, and generation facilities.
The team provides technical consultation and analytical insights to internal clients, helping organizations proactively manage risk and improve asset performance through the application of advanced modeling techniques, data analytics, and industry best practices. Staff collaborate with business and technical stakeholders to develop analytical solutions, support project proposals, and communicate complex model results and risk insights to decision makers. Incumbents maintain knowledge of and adhere to all company and regulatory safety, quality, and governance requirements.
This position is hybrid, working from your remote office and your assigned work location based on business need.