Data Scientist – Data Center Intelligence

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.

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

Requirements

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)

Nice to have

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