Data Scientist Intern - Grid Reliability & Predictive Analytics

Pacific Gas And Electric Company • Oakland, CA

1d • $34 - $46 • Hybrid

About The Position

We are looking for a data science intern to join our team to help develop and deploy reliability analytics & predictive models to identify incipient failures on the electric grid. In this role you will work as a part of the Predictive Analytics team to help improve the development of predictive and anomaly detection models. This is a role at the intersection of data science, engineering, data engineering, and data analysis.

Requirements

• Qualified candidates are pursuing a Master’s or PhD degree in Electrical Engineering, Industrial Engineering, Mechanical Engineering, Structural Engineering, Statistics, Data Science, or other related field
• Students must be continuing their education towards their degree during and/or after the internship

Nice To Haves

• Pursuing a Masters or PhD degree in Electrical Engineering with an emphasis in Power Systems or Industrial Engineering
• Experienced in Python
• Minimum 3.0 GPA (both cumulative and major GPA)
• Strong foundation in statistics and/or machine learning
• Passion for solving complex problems to support communities and enthusiasm for learning new technologies
• Excellent written and verbal communication skills

Responsibilities

• Data Management and Analysis: Collecting, cleaning, integrating, and analyzing data from diverse internal and external sources.
• Model Development: Designing, developing, and deploying analytical models (statistics and ML) and data pipelines across big data cloud platforms such as Palantir Foundry, Amazon AWS, and similar environments
• Visualization and Reporting: Building interactive dashboards to visualize model performance, data analytics and communicate key insights.

What This Job Offers

• Career Level: Intern