Data Scientist

Looking for Immediate Joiners

Seeking a highly skilled Data Scientist with a strong background in Mechanical Engineering to analyze telemetry data and develop statistical models for identifying and predicting anomalies within the mechanical and electrical infrastructure of data centers.

• Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical mechanical systems, including HVAC (AHU / MAU / CRAC / CRAH / RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU / PCU) / CUBs, and wastewater treatment.
• Leverage expertise in mechanical systems to understand equipment behavior, identify anomalies, and contribute to root cause analysis, including understanding key steps in mechanical maintenance.
• Develop equations and logic based on control flow, temperature, pressure, and flux for deployed systems, and apply statistical process control to identify mechanical failures within those systems.
• Monitor and interpret model outputs to proactively identify and investigate early indicators of equipment degradation, performance deviations, and potential failures.
• Collaborate closely with data center operations and engineering teams to validate detected anomalies, conduct comprehensive root cause analysis, and recommend effective corrective actions.
• Develop and manage insightful dashboards and reports to visualize key metrics and provide actionable insights to stakeholders.
• Continuously refine and enhance anomaly detection algorithms based on new data, feedback from field operations, and evolving industry best practices.

Document all findings, analysis methodologies, and resolution steps to contribute to a comprehensive knowledge base for the program.