Pacific Gas and Electric Company · 8 hours ago
Expert Data Scientist
Oakland, CA
Full-time
Onsite
Senior Level
$140K/yr - $238K/yr
6+ years expPG&E Corporation is seeking an experienced Data Scientist to enhance their data science platform within the Electric Risk & Compliance organization. The role involves developing machine learning models and contributing to data-driven decisions that address regulatory topics.
EnergyEnergy EfficiencyNatural ResourcesOil and Gas
Responsibilities
Contribute to design, implementation, and operation of an AI and deep learning model test bench
Conduct test bench studies and create reports of quantitative findings, recommendations
Develop a library of reusable code that makes data scientists more productive across the organization
This code will expedite data access and ETL/ELT workflows spanning multiple source systems across the Electric Risk & Compliance organization
Collaborate with peers across the enterprise AI and Data Science communities at PG&E to assure the organization is capitalizing on enterprise initiatives and emerging technologies
Develop machine learning and deep learning models to investigate specific regulatory questions
Scale and maintain these models as needed, including integration with AI agents in workflow settings
Research and apply knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
Create data mining architectures / models /protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets
Extract, transform, and load data from dissimilar sources from across PG&E for their machine learning feature engineering
Apply data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models
Co-develop mathematical models and AI simulations that represent complex business problems
Write and document python code for data science (feature engineering and machine learning modeling) independently
Serve as the technical lead for the development of models
Develop and present summary presentations to business
Act as peer reviewer of models
Collaborate with peers to capture insights gained from data science studies
Speak internally and externally on AI; Provide thought leadership
Build relationships across the company
Qualification
Required
Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
6 years in data science (or no experience, if possess Doctoral Degree or higher, as described above)
Preferred
Experience working with multiple data science and data management platforms, including Palantir Foundry, Azure, Snowflake, and others
Hands-on implementation of solutions within Palantir Foundry, including ontologies, data pipelining, data integration, data modeling, and application design highly valued
Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them
Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment
Competency in commonly used data science and/or operations research programming languages, packages, and tools
Hands-on and theoretical experience of data science/machine learning models and algorithms
Ability to synthesize complex information into clear insights and translate those insights into decisions and actions
Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning 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/artificial intelligence/machine learning techniques and technologies
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
2026-01-22
2026-01-13
2026-01-13
Company data provided by crunchbase