Senior Data Scientist (Power Systems)

Develop electrical system ontology for data centers to organize customer’s system data for use by AI & LLMs. Create tools to monitor system telemetry from sensors and facility management systems, detecting early signs of equipment degradation. Develop and deploy anomaly detection models using machine learning and statistical methods to identify irregularities in power usage, voltage stability, and cooling performance. Design automated alerting frameworks for real-time notifications when abnormal conditions are detected. This includes power spikes and cooling failures. Perform root cause analysis on anomalies and power incidents, correlating data across multiple systems to improve reliability and uptime. Collaborate with customer operations teams to translate anomaly insights into actionable maintenance and optimization strategies and share knowledge about data center electrical systems within Phaidra.