Data Scientist
Tasks
- Analyze model performance
- Build forecasting predictive analytical models
- Contribute to dataset and feature definitions
- Create demo ready PoCs and visualizations
- Define use cases KPIs success criteria
- Develop machine learning models
- Maintain production ready models
- Perform feature engineering
- Run experimentation and PoC cycles
- Support AI ML solution design best practices
- Track experiments and metrics
- Validate machine learning models
Perks/Benefits
Skills/Tech-stack
Agile | Analytical Databases | Apache Airflow | Data Engineering | Feature Engineering | Large Datasets | MLflow | Machine Learning | Model Validation | Model performance | Model performance analysis | Performance Analysis | Python | SQL | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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