Senior Data Scientist (Power Systems)

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.

We are seeking a team member located within one of the following area: USA, Canada, or UK

• In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Florida, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington. 

• In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta.

Key Qualifications

• 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 Skills & Experience

• 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.

Onboarding

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.

General Interview Process

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)

Base Salary

US Residents:

• Tier 1 (Largest highest-cost metros): 155,700 USD - 207,600 USD

• Tier 2(Other major metros): 147,915 USD - 197,220 USD

• Tier 3 (Mid-sized metro areas): 140,130 USD - 186,840 USD

• Tier 4 (All other locations): 132,345 USD - 176,460 USD

UK Residents:

• Tier 1 (London): 100,600 GBP - 134,000 GPB

• Tier 2 (Manchester, Birmingham, Edinburgh, Bristol): 94,600 GBP - 126,200 GBP

• Tier 3 (Other areas): 88,700 GBP - 118,300 GPB

Canada Residents:

• Tier 1 (Vancouver): 164,000 CAD- 218,800 CAD

• Tier 2 (Toronto): 153,000 CAD - 204,000 CAD

• Tier 3 (Montreal): 131,000 CAD - 175,000 CAD

• Tier 4 (Other areas): 120,100 CAD - 160,500 CAD

In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends.