- Where
- Los Angelos, CA, United States
- Level
- Mid · 4+ years
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.