Senior Applied Physical Scientist

at  Gridware

Gridware has developed an innovative hardware product that plays a crucial role in safeguarding communities from potential disasters related to electricity distribution, such as prolonged power outages, wildfires, and dangerous incidents involving the public. By utilizing advanced sensors, our technology promptly detects and locates grid disturbances, enabling rapid response to prevent or mitigate their impact. Join us in our mission to enhance safety and reliability for communities worldwide, protecting against catastrophic events before they occur.
We’re currently looking for an experienced Data Scientist to help us build tools and systems to detect electrical grid faults with data collected by our fleet of devices around the clock.

MINIMAL QUALIFICATIONS:

• 3 years of experience in analyzing and interpreting sensor or instrumentation data within a scientific or engineering context.
• Demonstrated ownership and delivery of at least two scientific projects involving event detection or classification based on sensor data.
• Working knowledge of signal processing and time-series analysis.
• Proficiency with Python, Git, and SQL.
• Familiarity with C++ and Spark.
• Ability to work in a Linux environment.

• Develop an advanced operations alerting system to efficiently respond to real time events on the electrical grid.
• Leverage intelligent processing of high-frequency data across multiple sensor modalities to generate informative features for both human and machine learning models.
• Advance research and development efforts for characterization and detection of faults on the electrical grid.
• Expand monitoring capabilities to identify long-term risks to the electrical grid and explore new markets for safety and reliability improvement.