Data Scientist – Data Center Intelligence

Codvo Private Limited; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A data-driven technology company based in Pune is looking for a Data Scientist specializing in Data Center Intelligence. This role involves developing predictive models to optimize data center operations through actionable insights derived from sensor and operational data. The ideal candidate will have 4-9 years of experience, a strong foundation in statistical ML, and proficiency in Python tools. Familiarity with IoT data and performance analytics is a plus.

Qualifications

• 4-9 years of experience in data science with strong statistical ML foundation.
• Proficiency in Python data science libraries and frameworks.
• Experience with anomaly detection and predictive analysis.

Responsibilities

• Develop ML models for anomaly detection and predictive failure analysis.
• Work with time-series data from various environmental sensors.
• Create dashboards and reports for operational insights.

Skills

Statistical ML

Python

scikit-learn

XGBoost

PyTorch

TensorFlow

Time-series forecasting

IoT/OT data

Tools

MLflow

Azure ML

SageMaker

Job description

Data Scientist – Data Center Intelligence

About this role

Build and deploy predictive models that make data center operations smarter, safer and more energy-efficient. You will work with sensor telemetry, DCIM feeds, and operational logs to generate actionable intelligence for site operations teams.

Key Responsibilities

• Develop ML models for anomaly detection, predictive failure analysis, cooling optimization, and capacity forecasting
• Work with time-series data from BMS, SCADA, PDUs, and environmental sensors
• Build, validate and productionize models using MLflow, Azure ML, or SageMaker
• Collaborate with data engineers for feature engineering and pipeline design
• Create dashboards and reports translating model outputs into actionable operations insights
• Conduct A/B testing and model performance monitoring in production environments

Must-Have Profile

• 4-9 years; strong foundation in statistical ML and Python-based data science stack
• Proficiency in scikit-learn, XGBoost, PyTorch or TensorFlow; experience with time-series forecasting (Prophet, LSTM, ARIMA)
• Familiarity with IoT/OT data (sensor streams, telemetry, irregularly-sampled data) a strong plus
• Experience with PUE optimization, thermal modeling, or critical infrastructure analytics highly desirable