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 areas: 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): 155700 USD - 207600 USD

• Tier 2(Other major metros): 147915 USD - 197220 USD

• Tier 3 (Mid-sized metro areas): 140130 USD - 186840 USD

• Tier 4 (All other locations): 132345 USD - 176460 USD

UK Residents:

• Tier 1 (London): 100600 GBP - 134000 GPB

• Tier 2 (Manchester Birmingham Edinburgh Bristol): 94600 GBP - 126200 GBP

• Tier 3 (Other areas): 88700 GBP - 118300 GPB

Canada Residents:

• Tier 1 (Vancouver): 164000 CAD- 218800 CAD

• Tier 2 (Toronto): 153000 CAD - 204000 CAD

• Tier 3 (Montreal): 131000 CAD - 175000 CAD

• Tier 4 (Other areas): 120100 CAD - 160500 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.