Gridware

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

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

  • Health, Dental & Vision
  • Paid parental leave
  • Alternating day off
  • Two-week paid break
  • Commuter allowance
  • Company-paid training