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.