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
Ph.D. or Master’s degree in Electrical Engineering, Mechanical Engineering, Operations Research, Transportation Engineering, Physics, Applied Sciences, Statistics, or a related field
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

PG&E’s discretionary incentive compensation programs

Applicant Tracking System Keywords

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

Hard Skills & Tools

data sciencemachine learningartificial intelligencePythonpredictive analyticsreliability analyticsstatistical modelsdata processingmodel developmentdata-driven approaches

Soft Skills

communication skillsproblem-solvingcoachingteachingcollaboration

Certifications

Bachelor’s DegreeMaster’s DegreePh.D.