
Data-Driven Statistician
2 days ago
Our organization is seeking an experienced SAS Modeler Engineer to lead large-scale projects involving statistical modeling and data analysis.
- Key Responsibilities:
- Statistical Modeling: Develop, validate, and maintain complex statistical models using SAS and Python.
- Migration Strategy: Design and execute a comprehensive SAS to Python migration plan.
- Code Optimization: Convert SAS macros, procedures, and workflows into efficient Python equivalents.
- Best Practices: Establish standardized modeling processes, workflows, and performance monitoring frameworks.
- Tech Leadership: Guide team members on Python adoption, coding standards, and analytics best practices.
The ideal candidate will have a strong background in statistical modeling, data analysis, and programming. A passion for working with cutting-edge technology and a talent for problem-solving are essential for success in this role.
A successful SAS Modeler Engineer will be responsible for driving the development of advanced statistical models, leading large-scale project teams, and guiding team members on best practices.
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