Geospatial Data Scientist Hybrid, Ml & Remote Sensing
Pacific Gas And Electric
Oakland, California, US
About the Role
A leading energy company is seeking an experienced Data Scientist in Oakland, CA, to design and develop machine learning models for predicting electric system failures. This hybrid role involves building geospatial and ML pipelines, developing insights from remote sensing data, and collaborating with stakeholders. The ideal candidate has a strong background in data science or related fields, extensive Python experience, and familiarity with geospatial analytics. The position offers a salary range of $133,000 to $226,000 annually based on qualifications and experience. #J-18808-Ljbffr
Required Skills
machine learning
geospatial analysis
remote sensing
Python
data pipeline
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