Data Scientist - Energy Forecasting
Tasks
- Blend physics based thermal models with statistical and machine learning methods
- Build and improve energy demand forecasting models
- Build data pipelines for forecasting models
- Deploy forecasting models to production with automated retraining
- Develop local weather condition forecasting models
- Implement drift and anomaly detection
- Monitor forecast accuracy across multiple networks
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | C# | C++ | Cloud Computing | Data Pipelines | Drift Detection | Forecasting | Machine Learning | Python | Statistics | Time Series
Education
Roles
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