Sas/Python Model Validation And Modernization Developer
Tasks
- Analyze algorithms calculations and methodologies
- Collaborate with analysts statisticians data scientists and stakeholders
- Compare and validate SAS and Python outputs
- Conduct scenario analysis sensitivity testing and what if simulations
- Convert SAS code workflows and processes to Python
- Create technical documentation validation reports and migration plans
- Develop automated testing frameworks and validation processes
- Evaluate model performance and impact of changes
- Perform data analysis and investigate anomalies and inconsistencies
- Review legacy SAS applications and develop migration strategies to Python
- Test validate and analyze statistical models
Perks/Benefits
Skills/Tech-stack
AWS | Algorithm Analysis | Automated testing | Azure | Base programming | CI/CD | Data Analysis | Docker | Git | Google Cloud | Machine Learning | Migration | Model Validation | NumPy | Pandas | Predictive Modeling | SAS Base | SAS Base programming | SAS Macros | SAS Viya | SQL | Scenario Analysis | Scikit-learn | Sensitivity Analysis | Statistical modeling | TensorFlow | What If | What-if analysis | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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