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 solutionsDesign, develop, test,



and document Python analytics codeRefactor legacy code while maintaining functionality and performanceValidate migrated solutions against legacy process outputsMentor team members developing Python capabilitiesRequirements: Five or more years working with Python and SASLegacy application migration, modernization, or refactoring experienceStrong SQL skills involving joins, filtering, and transformationsExperience with large datasets and processing workflowsTechnical lead, subject matter expert, mentor, or coach experienceApply Python, SAS, SQL, and migration expertise to modernize analytics while supporting accurate, scalable, maintainable solutions.#J-18808-Ljbffr

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