Hybrid Geospatial Data Scientist (remote Sensing & Ml)
PG&E
Oakland, California, US
About the Role
A leading utility company is looking for a Data Scientist to enhance data analytics in their Wildfire Mitigation organization. This hybrid role focuses on developing machine learning models and data processing pipelines using geospatial data. Candidates must possess a Bachelor's or Doctorate Degree in relevant fields and have experience with Python and geospatial analytics. Salary ranges from $133,000 to $238,000, plus potential participation in incentive programs. #J-18808-Ljbffr
Qualifications
- Bachelor's or Doctorate in relevant fields
Required Skills
Python
geospatial analytics
machine learning
Keywords
Geospatial
Data Science
Remote Sensing
ML
Python
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