Pacific Gas and Electric Company · 3 hours ago
Senior Data Scientist- Flexible Location
Pacific Gas and Electric Company is seeking a Senior Data Scientist to join their Reporting & Analytics team within the Business Strategy group of Enterprise Health & Safety. This role involves designing and developing machine learning and artificial intelligence models to mitigate risks and enhance decision-making processes using data from various sources.
EnergyEnergy EfficiencyNatural ResourcesOil and Gas
Responsibilities
Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
Creates data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets
Extracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering
Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models
Co-develops mathematical models and AI simulations that represent complex business problems
Writes and documents python code for data science (feature engineering and machine learning modeling) independently
Serves as the technical lead for the development of simple models
Develops and presents summary presentations to business
Act as peer reviewer of simple models
Qualification
Required
Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
4 years in data science (or 2 years, if possess Master's Degree as described above, or no experience, if possess Doctoral Degree or higher, as described above)
Preferred
Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
Proficiency in SQL and Python, including core libraries (NumPy, SciPy, pandas, scikit-learn, etc.)
Master's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
Experience with Git-based version control and modern software development workflows
Experience with natural language processing; exposure to large language models and prompt-engineering concepts a plus
Experience applying analytics in safety, compliance, or risk-related domains a plus
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
Benefits
PG&E’s discretionary incentive compensation programs.
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.
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
Recent News
2026-02-03
2026-01-22
2026-01-13
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