Data Scientist

2 weeks ago

Hyderabad, Telangana, India Brace Infotech Private Ltd Full time

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.

· Bachelor's or Master's Degree in Mechanical Engineering, Systems Engineering, or a related field, with demonstrated experience in Data Science, Computer Science Engineering, or equivalent.

· Proven experience in data analysis, statistical modeling, and machine learning.

· Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).

· In-depth knowledge of data center mechanical infrastructure, including HVAC systems (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.

· Exceptional problem-solving abilities and the capacity to work both independently and as a vital member of a cross-functional team.

· Excellent communication skills, with the ability to translate complex data findings into clear, actionable recommendations for a non-technical audience.

· Strong knowledge with fundamental concepts such as heat transfer, fluid dynamics, and thermodynamics as they apply to cooling systems, including an understanding of refrigerants and coolants.

· Critical experience with telemetry data, various sensor types, and their outputs (e.g., temperature, pressure, flow rate) for effective interpretation of raw data feeding anomaly detection models.

· Ability to utilize analytical findings to diagnose potential mechanical issues, such as pump failures, leaks, or valve malfunctions. Experience with root cause analysis is a strong plus.

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