Hybrid Data Scientist – Grid Reliability, Expert

at Pacific Gas and Electric Company

• Job title: Data Scientist – Grid Reliability, Expert
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $133,000 - $198,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Oakland, United States

About the role

• Data Scientist developing advanced data models for electric reliability at PG&E. Collaborating with cross-functional teams to enhance the electric transmission and distribution grid.

Responsibilities

• Lead research and development of state-of-the-art methodologies to detect potential system failures and improve the reliability of the electric transmission and distribution grid.
• Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible models.
• Serves as the technical lead for the development of predictive/reliability analytics models.
• Develops python codes for data processing and data science model developments (e.g., ML/AI models, advanced statistical models).
• Documents datasets, modeling processes, and result to ensure transparency, reproducibility, and defensibility.
• Contribute to the development of data science strategies aligned with system performance, reliability, and resiliency team goals.
• Communicate technical concepts and model results to internal/external stakeholders.
• 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.
• Act as peer reviewer of complex models.

Requirements

• Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
• Experience in Data Science, 6 years or no experience, if possess Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
• Doctorate degree with 5+ years or Master’s degree with 8+ years in Electrical Engineering, Mechanical Engineering, Operations Research, Transportation Engineering, Physics, Applied Sciences, Statistics, or job-related discipline or equivalent experience.
• Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience.
• Active participation in professional communities related to utility reliability, such as IEEE Power and Energy Society (PES), is a plus.
• Strong foundation in statistics, machine learning (ML), and artificial intelligence (AI).
• Hands-on and theoretical experience in developing and deploying data science and ML models using Python.
• Proven ability to formulate and solve unstructured, complex problems using data-driven approaches.
• Proficiency in working with large datasets, including structured and unstructured data from diverse sources.
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
• 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