Industrial Data Scientist

Los Angelos, CA
Contracted
Experienced

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.

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