Senior Data Scientist
Tasks
- Apply semantic analysis and semantic coding to identify patterns
- Build supervised and unsupervised learning models
- Collaborate with technical and business stakeholders in Agile teams
- Contribute to sprint planning and iterative development
- Design implement and maintain machine learning models
- Develop data visualizations and data storytelling for decision making
- Develop interpretable and explainable analytics outputs
- Evaluate models using precision recall f1 score and auc
- Extract actionable insights from structured and unstructured data
- Implement anomaly detection classification regression and NLP models
- Lead design and implementation of statistical and AI ML solutions
- Optimize data science workflows in cloud environments
- Perform testing validation and tuning to improve model performance
- Use CI CD pipelines and development tools to streamline workflows
Perks/Benefits
Skills/Tech-stack
Agile | Anomaly Detection | Azure | CI/CD | Classification | Data Visualization | Deep learning | Explainable AI | Git | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Pandas | Power BI | PyTorch | Python | Regression | SQL | Scikit-learn | Semantic Analysis | TensorFlow
Education
Roles
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