Electrical Engineer

BayOne Solutions; San Ramon (CA); On-site; USD 80,000 - 110,000; Full time

Job summary

BayOne Solutions is seeking an Electrical Engineer in San Ramon, California. The ideal candidate will possess strong analytical skills and a B.S. in Electrical Engineering. Key responsibilities include interpreting Smart Meter data, collaborating with field operations, and analyzing large datasets to enhance prediction models. Familiarity with electric distribution line equipment is essential. This position is aimed at improving operational effectiveness in predicting electrical line defects, contributing significantly to asset management and field operations.

Qualifications

• Familiarity with electric distribution line equipment and protective device settings.
• Ability to interpret Smart Meter data and predictive alerts.
• Experience working with large datasets to improve model accuracy.

Responsibilities

• Predict and prioritize transformer defects and electrical line defects.
• Collaborate with field operations and engineering teams.
• Validate machine learning driven predictions.

Skills

Analytical skills

Knowledge of distribution engineering

Education

B.S. in Electrical Engineering

Job description

TOP THINGS: Electrical engineer with strong analytical skills and knowledge of distribution engineering.

• B.S. in Electrical Engineering
• Familiarity with electric distribution line equipment, protective device settings, electric distribution operations, and distribution power flow analysis
• Ability to interpret Smart Meter data and predictive alerts and translate results into actionable insights for field operations and asset management teams to predict and prioritize transformer defects and overhead/underground electrical line defects.
• Experience working with large datasets (e.g., historical defect data, inspection records, and operational data) to improve model accuracy and reduce false positives.
• Experience collaborating with field operations, Protection & Control, and engineering teams to validate machine learning driven predictions.