Phaidra · 1 month ago
Senior Data Scientist (Power Systems)
Phaidra is building the future of industrial automation by creating AI-powered control systems for the industrial sector. The Senior Data Scientist will be responsible for developing electrical system ontologies, deploying anomaly detection models, and collaborating with operations teams to enhance system reliability and performance.
Artificial Intelligence (AI)Industrial AutomationInformation TechnologyMachine Learning
Responsibilities
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
Qualification
Required
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
Preferred
Proven experience in analyzing, monitoring and maintaining of electrical distribution systems, including substations, UPS systems, batteries, switchgear, PDUs, and stand-by generator systems
Hands-on experience with SCADA, BMS, or energy monitoring systems, including sensor integration and data acquisition
Demonstrated ability to use machine learning and advanced analytics for predictive maintenance, energy optimization, and anomaly detection in electrical systems
Experience with time-series analysis, signal processing, and predictive modeling for power and thermal performance
Benefits
Medical, dental, and vision insurance (exact benefits vary by region).
Unlimited paid time off, with a required minimum of 20 days per year.
Paid parental leave (exact benefits vary by region).
Flexible stipends to support your workspace, well-being, and continued professional development.
Company MacBook.
Company
Phaidra
Phaidra provides AI and ML solutions to accelerate performance in large-scale industries.
Funding
Current Stage
Growth StageTotal Funding
$92.5MKey Investors
Collaborative FundAmazonIndex Ventures
2025-10-01Series B· $50M
2024-09-24Grant
2024-07-02Series Unknown· $12M
Recent News
Sourcery
2025-10-09
Company data provided by crunchbase