Applied Scientist - Circuit and Fault Intelligence
Gridware
Overview
Role involves developing advanced analytical and machine learning models for event detection in electrical distribution systems.
Ideal candidate should have a PhD or Master's and 5+ years of experience with large-scale scientific data.
120k usd / yearhybridseniorpermanentfull-timeEnglishPythonNumpyscipypandasMatplotlibsklearnKerasPyTorchSQLSpark+ 4 more
Locations
United States, California, San Francisco
Requirements
PhD or Master's in a quantitative field 5+ years experience with large-scale scientific data Strong foundation in physical modeling and machine learning
Responsibilities
Develop analytical models for event detection Apply statistical modeling techniques Collaborate with data engineers and software teams Validate and refine models Design feature extraction methods Conduct simulations and sensitivity analyses Contribute to model interpretability
Benefits