Hybrid Senior Data Scientist - Predictive Analytics

at Pacific Gas and Electric Company

• Job title: Senior Data Scientist - Predictive Analytics
• Job type: Full Time
• Experience level: Senior
• Salary: $120,000 - $179,300 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Oakland, United States

About the role

• Data Scientist developing advanced data science models for PG&E's electric transmission reliability initiatives. Leading collaborative projects to enhance system performance and resiliency within the utility sector.

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 scalable, 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.

Requirements

• 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
• Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
• 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

• This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.