Senior Data Scientist
Tasks
- Analyze R and D datasets and identify trends and risks
- Build and deploy machine learning models
- Develop and maintain dashboards and automated reports
- Evaluate model explainability and production monitoring
- Gather requirements and define project scope
- Implement analytics automation with CI CD pipelines and version control
- Participate in Agile Scrum sprints and iterative delivery
- Support data pipeline improvements with data engineers
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Cloud | Agile | Automated reporting | CI/CD | Dashboards | Data Modeling | Data Pipelines | Data Quality | Data Visualization | Forecasting | GitLab | Infrastructure as Code | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Plotly | PyTorch | Python | SQL | Scikit-learn | Scrum | Shiny | TensorFlow | Version control | XGBoost | “as-code”
Education
Roles
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