Principal Data Scientist (onsite)
Tasks
- Build automated retraining and evaluation frameworks
- Create interactive dashboards for forecasting insights
- Design scalable real time and batch forecasting pipelines
- Develop data connectors for weather APIs and data warehouses
- Implement error handling alerting and recovery procedures
- Lead end to end forecasting model development
- Optimize model performance and forecasting accuracy
Perks/Benefits
Skills/Tech-stack
API Integration | ARIMA | AWS | Batch Processing | Data Engineering | Data Pipelines | EC2 | Git | Gradient boosting | Infrastructure as Code | Lambda | MAE | MAPE | Model Monitoring | NumPy | Pandas | Plotly | Python | RMSE | Real Time | Real-time Processing | S3 | SARIMAX | SQL | SageMaker | Scikit-learn | Series forecasting | StatsModels | Streamlit | Time Series | Time Series Forecasting | Time processing | “as-code”
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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