<h3>Job Description</h3>
Job DescriptionIndustrial Data Scientist
Turn raw machine telemetry into predictive maintenance and process insights that help the factory self-correct.
What you'll do
<ul>
<li>Clean, contextualize and model time-series data from sensors, PLCs, historians and MES</li>
<li>Build predictive maintenance, anomaly detection and remaining-useful-life models</li>
<li>Develop multi-sensor correlation models for quality and yield</li>
<li>Deploy models to edge or cloud and build operator-facing dashboards</li>
<li>Walk plant engineers through results on the floor and refine models with their input</li>
</ul>
Requirements
<ul>
<li>4+ years in data science, with industrial or manufacturing data experience</li>
<li>Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL</li>
<li>Experience with time-series and signal data (vibration, temperature, current)</li>
<li>Familiarity with historians such as AVEVA PI or Canary</li>
</ul>
Nice to have: Databricks, Azure/AWS ML services, MLOps, reliability engineering knowledge, Power BI or Grafana.
Powered by JazzHR
pE7bFp01zm