Senior Data Scientist (Power Systems)

• Develop electrical system ontology for data centers to organize customer data for AI and LLM applications
• Create tools to monitor system telemetry and detect early signs of equipment degradation to prevent service disruptions
• Develop and deploy advanced anomaly detection models using machine learning to identify irregularities in power systems
• Design automated alerting frameworks for real-time notifications of abnormal conditions

This role creates positive change by improving energy efficiency and reliability in industrial facilities through AI-powered control systems, reducing energy consumption and preventing service disruptions in critical infrastructure.

• 3+ years of experience in electrical or power systems operations, with focus on data centers, utilities, or mission-critical infrastructure
• Bachelor's degree or equivalent in electrical engineering, power systems engineering, or related technical discipline
• Strong understanding of power quality, load balancing, fault detection, and protective relaying principles
• Excellent communication skills to explain complex domain concepts to non-experts

• Competitive compensation with meaningful equity
• Medical, dental, and vision insurance (varies by region)
• Unlimited paid time off with minimum 20 days per year
• Paid parental leave (varies by region)
• Flexible stipends for workspace, well-being, and professional development
• Company MacBook
• 100% remote work environment
• Fast-paced, team-oriented environment with outsized responsibilities

Phaidra builds AI-powered control systems for the industrial sector, enabling facilities to automatically learn and improve over time using reinforcement learning algorithms to optimize performance and energy efficiency.