Industrial Data ScientistTurn 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.
