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
- Solid 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.

📌 Python SAS Migration Data Scientist (Toronto)
🏢 Insight Global
📍 Toronto