Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a new class of grid management called active grid response (AGR), with high-precision sensors and a platform that enables proactive maintenance and fault mitigation to improve safety, reduce outages, and ensure grid efficiency.
Role: Data Scientist, Fleet Health. You will be a key member of Gridware's Fleet team, focused on building fleet health predictive models, thresholds, and optimization frameworks to ensure 99% uptime across our rapidly scaling network of IoT devices. This role will drive the development of advanced intelligence for forecasting device health, predicting installation performance, and establishing data-driven criteria for detecting and remediating device degradation.
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a new class of grid management called active grid response (AGR), with high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
The Data Scientist, Fleet Health will be a key member of Gridware's Fleet team, focused on building fleet health predictive models, thresholds, and optimization frameworks to ensure 99% uptime across our rapidly scaling network of IoT devices. This role will drive the development of advanced intelligence for forecasting device health, predicting potential installation performance, and establishing data-driven criteria for detecting and remediating device degradation. The ideal candidate will bring a strong foundation in applied machine learning and forecasting, comfort working with real-world sensor and fleet data, and a passion for scaling intelligent systems that power resilient clean energy infrastructure. You will work closely with engineering, operations, and product teams to apply insights that both optimize today's fleet performance and inform the evolution of tomorrow's solutions.