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