About the role
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.