Data Scientist

Role Overview:

electrical and mechanical systems

Key Responsibilities:

• Develop, train, and deploy ML/statistical models for real-time telemetry data analysis of electrical and mechanical systems.
  
• Identify anomalies, predict equipment degradation, and support root cause analysis for system failures.
  
• Derive and apply electrical and mechanical equations (current, voltage, power, temperature, pressure, flow) for performance monitoring and statistical process control.
  
• Design monitoring logic and algorithms to proactively detect and alert on anomalies in electrical and mechanical systems.
  
• Collaborate with data center operations and engineering teams to validate anomalies, perform RCA, and recommend corrective actions.
  
• Build and maintain dashboards and reports to visualize system performance and model insights.
  
• Continuously refine anomaly detection models based on new data, feedback, and industry best practices.
  
• Document methodologies, findings, and resolutions to enhance the organizations knowledge base.
  

Qualifications:

• Bachelor’s or Master’s Degree in

  Electrical, Mechanical, or Systems Engineering

  , with demonstrated experience in

  Data Science or Computer Science Engineering

  .
• Proven experience in

  data analysis, statistical modeling, and machine learning

  .
• Proficiency in

  Python, R, and SQL

  for data processing and model development.
• In-depth knowledge of

  data center electrical and mechanical infrastructure

  (Feeders, Transformers, UPS, ATS/STS, Chillers, HVAC, Cooling Units, CRAC/CRAH, Water Systems).
• Strong understanding of

  power systems, heat transfer, fluid dynamics, and thermodynamics

  .
• Experience with

  telemetry data

  and sensor outputs (current, voltage, temperature, pressure, flow rate).
• Excellent

  problem-solving

  and

  communication

  skills; ability to present insights clearly to non-technical stakeholders.