Data Scientist
Tasks
- Collect, preprocess, and analyze large datasets
- Conduct experiments to evaluate and improve model performance
- Deploy data science models into production environments
- Design develop and implement machine learning and artificial intelligence models
- Document machine learning models algorithms and processes
- Ensure data quality throughout the data pipeline
- Monitor and maintain deployed models
- Optimize machine learning models for performance scalability and efficiency
- Translate business requirements into technical solutions
- Understand business problems and implement data science solutions
Perks/Benefits
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | CI/CD | Cloud Machine Learning | Cloud Machine Learning Services | Cross-validation | Data Preprocessing | Data Quality | Data Visualization | Descriptive Statistics | Docker | Experimentation | Feature Engineering | Git | Google Cloud | Knowledge graphs | Logistic Regression | Machine Learning | Machine learning services | Neural Networks | Operations Research | Predictive Analytics | Python | Random Forest | SQL | Statistical Analysis | Support Vector Machines | Vector machines
Education
Roles
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