Data Scientist
Tasks
- Collect, preprocess, and analyze large datasets
- Conduct experiments and evaluate model performance
- Deploy data science models into production
- Design develop and implement machine learning and artificial intelligence models
- Ensure data quality and integrity
- Maintain documentation of models algorithms and processes
- 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 | Cloud Platforms | Cross-validation | Data Pipelines | Data Preprocessing | Data Quality | Data Visualization | Data cleaning | Descriptive Statistics | Feature Engineering | Generative AI | Google Cloud | Language Models | Language Processing | Large Language Models | Machine Learning | Machine learning model deployment | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | OOP | Object-Oriented | Object-oriented programming | Operations Research | Predictive Analytics | Python | Statistical Analysis | Test & Validation
Education
Roles
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