Data Scientist - Predictive Maintenance
Tasks
- Analyze sensor data streams for equipment failure prediction
- Build scalable real time models for low latency predictions
- Create diagnostic tools for data driven maintenance decisions
- Design experiments to validate hypotheses and develop failure datasets
- Develop predictive maintenance algorithms using machine learning
- Improve data pipelines with engineers to enhance model accuracy
- Refine predictive models based on real world performance
Perks/Benefits
- Dental insurance
- Education and courses stipend
- Health plan
- Paid annual leave
- Sports incentive
- Travel allowance
Skills/Tech-stack
Anomaly Detection | Data Processing | Data Visualization | Industrial sensor data | Machine Learning | NumPy | Pandas | PyTorch | Python | Real Time | Real-time Data | Real-time Data Processing | Scikit-learn | Sensor data | Series analysis | Signal Processing | Time Series | Time Series Analysis
Education
N/A
Roles
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