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.

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
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
PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data managementdata analysismodel developmentmachine learningstatisticsdata pipelinesPythondata visualizationdashboard development

Soft Skills

problem solvingenthusiasm for learningwritten communicationverbal communication