Senior Data Scientist — AI-Driven Data Center Intelligence

About the role

The Senior Data Scientist builds AI/ML models and digital twin frameworks that power CloudData.Center's AI-Driven Intelligence solution — predictive maintenance, anomaly detection, energy optimization, and capacity forecasting for client data center environments.

What you will do

• chevron_rightDevelop ML models for predictive maintenance of data center MEP systems (UPS, cooling, power)
• chevron_rightBuild anomaly detection systems using telemetry from DCIM, BMS, and EPMS platforms
• chevron_rightDesign and implement digital twin frameworks for data center visualization and simulation
• chevron_rightDevelop energy optimization models to improve PUE and reduce cooling energy consumption
• chevron_rightBuild capacity forecasting models for power, thermal, and space utilization
• chevron_rightCreate operational intelligence dashboards integrating multi-source facility data
• chevron_rightWork with facility operations teams to deploy models into production monitoring environments
• chevron_rightConduct research on applying generative AI and agentic models to facility operations

What we need

• chevron_right5+ years in data science, ML engineering, or applied AI in infrastructure or IoT environments
• chevron_rightProficiency in Python and ML frameworks: scikit-learn, PyTorch, TensorFlow, or equivalent
• chevron_rightExperience with time-series anomaly detection and predictive maintenance models
• chevron_rightFamiliarity with data center telemetry sources: DCIM, BMS, EPMS, SNMP, Modbus
• chevron_rightStrong ability to communicate model outputs to operations and executive audiences

Nice to have

• check_circleExperience with digital twin platforms: NVIDIA Omniverse, Azure Digital Twins, or equivalent
• check_circleMLOps experience: model deployment, monitoring, and retraining pipelines