Data Scientist
Tasks
- Analyze model performance
- Build demo-ready POCs
- Contribute to AI ML solution design
- Create visualizations
- Define datasets and features
- Define use cases and success criteria
- Design machine learning models
- Develop analytical models
- Develop forecasting models
- Develop machine learning models
- Develop predictive models
- Manage model lifecycle and evolution
- Perform feature engineering
- Perform model validation
- Run iterative experimentation and PoC cycles
- Track experiments and metrics
- Validate machine learning models
- Work with analytical datasets
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Data Visualization | Data forecasting | Feature Engineering | Jupyter | MLflow | Machine Learning | Model Validation | Model performance | Model performance analysis | Performance Analysis | Predictive Modeling | Python | SQL | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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