Data Scientist – Data Center Intelligence

Codvo.ai; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading technology company in Pune is looking for a Data Scientist specializing in Data Center Intelligence. The ideal candidate will have 4-9 years of experience in developing predictive models, particularly in energy efficiency and anomaly detection. Proficiency in Python and familiarity with ML tools like Azure ML and SageMaker are essential. The role involves collaborating with data engineers and creating actionable insights through data analysis and dashboard creation.

Qualifications

• 4-9 years of experience in data science.
• Strong foundation in statistical ML and proficiency in Python.
• Experience with time-series data and predictive modeling.

Responsibilities

• Develop ML models for various operational analytics.
• Collaborate with data engineers for pipeline design.
• Create dashboards translating model outputs into insights.

Skills

Statistical ML

Python

Machine Learning (scikit-learn, XGBoost, PyTorch, TensorFlow)

Time-series forecasting

Anomaly detection

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