Industrial Data Scientist

Industrial Data Scientist Turn raw machine telemetry into predictive maintenance and process insights that help the factory self-correct. What you'll do Clean, contextualize and model time-series data from sensors, PLCs, historians and MES Build predictive maintenance, anomaly detection and remaining-useful-life models Develop multi-sensor correlation models for quality and yield Deploy models to edge or cloud and build operator-facing dashboards Walk plant engineers through results on the floor and refine models with their input Requirements 4+ years in data science, with industrial or manufacturing data experience Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL Experience with time-series and signal data (vibration, temperature, current) Familiarity with historians such as AVEVA PI or Canary Nice to have: Databricks, Azure/AWS ML services, MLOps, reliability engineering knowledge, Power BI or Grafana.