Pacific Gas and Electric Company · 4 days ago
Expert Data Scientist
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EnergyEnergy Efficiency
Insider Connection @Pacific Gas and Electric Company
Responsibilities
Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
Creates advanced 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 that involve multiple facets and iterations in algorithm development.
Wrangles and prepares data as input of machine learning model development and feature engineering
Writes and documents reusable python functions and modular python code for data science.
Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value.
Presents findings and makes recommendations to senior management.
Act as peer reviewer of complex models
Qualification
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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).
Competency with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them.
Knowledge of industry trends and current issues in job-related area of responsibility as demonstrated through peer-reviewed journal publications, conference presentations, open source contributions or similar activities.
Competency with commonly used data science and/or operations research programming languages, packages, and tools for building data science/machine learning models and algorithms, such as R, NumPy, Analytica, RapidMiner, SAS, Anaconda, MS Azure, Amazon, MatLab, Tableau, etc. Excellence in at least one of these is highly desirable.
Mastery of the mathematical and statistical fields that underpin data science.
Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience.
Understanding of Department of Transportation (DOT) 49 CFR Part 192 codes and regulations, California Public Utility Commission (CPUC) GO 112E.
Mastery in clearly communicating complex technical details and insights that adapts to the unique needs of different audiences.
Preferred
Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Benefits
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.
Funding
Current Stage
Public CompanyTotal Funding
$12.9B2023-11-29Post Ipo Debt· $1.9B
2020-06-06Post Ipo Debt· $11B
1979-08-03IPO· nyse:PCG
Leadership Team
Recent News
Investing.com
2024-06-04
2024-06-04
Company data provided by crunchbase