Data Scientist II
Tasks
- Assist deployment workflows and containerization
- Build applied machine learning methods
- Collaborate with investigators on requirements
- Design scalable data pipelines
- Develop and maintain backend services and APIs
- Develop statistical analyses
- Develop web applications and dashboards
- Evaluate emerging analytical tools and frameworks
- Evaluate model performance
- Implement secure data access
- Maintain version control
- Optimize database queries
- Perform data cleaning and transformation
- Perform feature testing validation and documentation
- Prepare reproducible analytical workflows
- Standardize workflows and documentation
- Support frontend and backend integration
- Support grant reporting progress documentation and manuscripts
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Cloud Computing | Containerization | Data Governance | Data Pipelines | Data Transformation | Data cleaning | Data handling | Database Architecture | Django | Flask | HIPAA | Machine Learning | Model Evaluation | Pandas | Python | Query Optimization | Reproducible Research | SQL | Scikit-learn | Secure Data | Secure Data Handling | Statistical Analysis
Education
Roles
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