Senior Data Scientist

at  PGE Corporation

Requisition ID # 158655
Job Category: Accounting / Finance
Job Level: Individual Contributor
Business Unit: Gas Engineering
Work Type: Hybrid
Job Location: San Ramon
Department Overview
Gas Operations is focused on ensuring the safe and reliable flow of natural gas to our customers. As a whole, Gas Operations is responsible for all aspects of PG&E’s gas distribution and transmission operations, including planning, engineering, maintenance and construction, restoration and emergency response.
Gas Transmission Operations is responsible for maintaining over 6,000 miles of gas transmission pipelines throughout California. This Department is responsible for the overall administration and implementation of the Transmission Integrity Management Program and the evaluation of overall risk to the gas transmission system. This includes overseeing the completion of integrity management assessments, identifying High Consequence Areas (HCA), maintaining PG&E’s assessment plan as required by 49 CFR Subpart O, and managing PG&E’s overall gas risk management program.

MINIMUM QUALIFICATIONS:

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).

DESIRED QUALIFICATIONS:

Master’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment.
Knowledge of relevant programming languages and database tools - for example SQL, Python, R, MS Access, Excel Macros, ArcGIS
Knowledge of statistical theories, concepts, methods, best practices, Monte Carlo simulation and sensitivity analysis.
Experience with common data science toolkits, such as R, NumPy, Analytica, RapidMiner, SAS, Anaconda, MS Azure, Amazon, MatLab, Tableau, etc. Excellence in at least one of these is highly desirable
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
Excellent written and verbal communication skills, c ompetency in communication that adapts to the unique needs of different audiences

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

• 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 model