PG&E is looking to solve the problem of potential system failures and improve the reliability of the electric transmission and distribution grid by developing advanced data science models and industry-leading anomaly detection techniques.
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.
- 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.
- Proficiency in working with large datasets, including structured and unstructured data from diverse sources.
- Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
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.
Other
- Bachelor’s Degree
- 4 years in data science OR 2 years, if possess Master’s Degree
- Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work in a hybrid environment, with a remote office and an assigned work location based on business need.
- Ability to participate in internal and external communities of practice in data science, AI, and machine learning
