Modernize SAS analytics with Python expertise as a Data Scientist supporting large-scale code migration and scalable data processing solutions. This role centers on translating legacy workflows into Python. It offers a technical focus on design, implementation, testing, and validation.
The Data Scientist serves as a Python subject matter expert during a strategic modernization initiative. You will convert SAS programs, guide design decisions, refactor legacy code, and support data engineering with SQL. Collaboration, mentoring, and documentation are central to successful delivery.
Key Responsibilities:

Convert SAS programs and analytical workflows into scalable Python solutions
Design, develop, test, and document Python analytics code
Refactor legacy code while maintaining functionality and performance
Validate migrated solutions against legacy process outputs
Mentor team members developing Python capabilities
Requirements:

Five or more years working with Python and SAS
Legacy application migration, modernization, or refactoring experience
Strong SQL skills involving joins, filtering, and transformations
Experience with large datasets and processing workflows
Technical lead, subject matter expert, mentor, or coach experience
Apply Python, SAS, SQL, and migration expertise to modernize analytics while supporting accurate, scalable, maintainable solutions.

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Python SAS Migration Data Scientist