Senior Data Scientist, Phaidra

• 3+ years of experience specifically in electrical or power systems operations, with a focus on data centers, utilities, or mission-critical infrastructure
• Bachelor’s degree or equivalent field experience in electrical engineering, power systems engineering, energy systems, data center operations or a related technical discipline
• Strong understanding of power quality, load balancing, redundant distribution, harmonics, fault detection, and protective relaying principles
• Passion for problem solving and using scalable solutions to solve repeat problems
• Excellent communication skills. Ability to explain complex domain specific concepts to non-domain experts
• Shares our Company Values: Transparency, Collaboration, Operational Excellence, Ownership, Empathy

Desirable

• Develop electrical system ontology for data centers which will be used to organize customer’s system data in a way where it can be used by AI & LLMs for customer facing products and services
• Create and utilize tools to continuously monitor system telemetry from sensors, smart meters, and facility management systems to detect early signs of equipment degradation to help prevent service disruptions
• Develop and deploy advanced anomaly detection models using machine learning and statistical methods to identify irregularities in power usage, voltage stability, cooling performance, UPS/battery behavior and more
• Design automated alerting frameworks that trigger real-time notifications for operational teams when abnormal conditions are detected (e.g., power spikes, cooling failures, or unexpected load distributions)
• Perform root cause analysis on anomalies and power incidents, correlating data across multiple systems (electrical, mechanical, environmental) to improve reliability and uptime
• Collaborate with customer operations teams to translate anomaly insights into actionable maintenance and optimization strategies, reducing unplanned downtime and improving PUE (Power Usage Effectiveness)
• Grow the knowledge base about data center electrical systems within Phaidra by openly sharing your knowledge and experience
• In your first 30 days…
• Familiarize yourself with the Phaidra Handbook
• Review department roadmaps and product vision documents
• Participate in recurring meetings with relevant teams
• Review existing electrical system ontology & taxonomy and provide feedback
• Start reviewing key customer system documentation to grow understanding
• In your first 60 days…
• Build an understanding of our work processes and tools
• Start solidifying a new electrical system ontology and components database
• Work with solutions engineers to guide their new system build-outs
• Participate in, and review, customer meetings to identify new product gaps and opportunities
• In your first 90 days…
• Finish creation of electrical system ontology and components database
• Work with solutions engineers to ensure that all customer systems are constructed to follow the new ontology and taxonomy
• Define key Insights to be used to detect electrical system failure modes which will be used in our customer facing products
• Engage with core product teams to ensure that our solutions are meeting the needs of our customers
• Create presentations to share progress with stakeholders

• Please submit your resume/CV below. You may also submit a cover letter explaining what your ideal position is and how your skills would fit with the team!
• Please note: Due to the high volume of applications, there may be a delay in response from our hiring team. However, Phaidra is committed to ensuring every applicant receives a response, regardless of the outcome. We sincerely appreciate your interest in joining Phaidra and thank you for taking the time to apply
• All of our interviews are held via Google Meet, and an active camera connection is required
• Meeting with People Operations team member (30 minutes)
• Meeting with Hiring Manager (60 minutes)
• Meeting with the Director of AI Controls Solutions Engineering (60 minutes)
• Meeting with the Data Science team (60 minutes)
• Culture fit interview with Phaidra’s co-founders (30 minutes)