Senior Data Scientist
Tasks
- Build diagnostic logic for root cause identification
- Develop machine learning models for anomaly detection
- Integrate model outputs into dispatch recommendations
- Measure field performance and improve models
- Own data science lifecycle from problem definition to monitoring
- Partner with engineering to deploy models into production
- Prototype new modeling approaches and validate business impact
Perks/Benefits
- 401k match
- Disability insurance
- Family Medical Dental Vision Insurance
- Paid parental leave
- Paid sabbatical leave
- Paid time off
- Remote work opportunity
Skills/Tech-stack
Anomaly Detection | Data Quality | Forecasting | Irregular Sampling | Machine Learning | Model Monitoring | Model retraining | Model retraining pipelines | Multi Sensor | Multi Sensor Data | Noisy data | NumPy | Pandas | PyTorch | Python | Retraining Pipelines | SQL | Scikit-learn | Seasonal Decomposition | Sensor data | Series data | State Space Models | State-Space | TensorFlow | Time Series | Time Series Data
Education
Roles
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