Job Description
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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Numbers & Facts
| Location | Los Angelos, CA |
| Website | https://vdsconsultinggroup.com/ |
Skills
Amazon Web Services (AWS)unmatched
Cloud Computingunmatched
Data Scienceunmatched
Manufacturingunmatched
Microsoft Windows Azureunmatched
Power BIunmatched
Programmable Logic Controller (PLC)unmatched
Python Programming/Scripting Languageunmatched
Reliability Engineeringunmatched
Reporting Dashboardsunmatched
SQL (Structured Query Language)unmatched
Telemetryunmatched
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