Data Scientist – MLOps & Analytics Governance

Own the full MLOps lifecycle for reliable ML deployment and insights governance. Build CI/CD pipelines for ML models, enforce data quality standards, and validate outputs for statistical soundness before stakeholders receive results. Set up monitoring for drift and performance, trigger automated retraining, and develop production-grade time-series and fault-detection pipelines using large-scale IoT sensor datasets. Partner cross-functionally to translate requirements into scalable ML solutions on GCP.