Become a Data Scientist / ML Engineer with Iris Software in Toronto, ON, in a dynamic hybrid work model. Focus on data wrangling, feature engineering, and modernizing data platforms.

You will lead critical feature engineering tasks while managing development environments for Python and PySpark. This role involves translating SAS code into efficient and scalable PySpark solutions, ensuring quality and performance across data pipelines. Your interaction with both data scientists and business users will be essential in clarifying requirements and validating outputs throughout the migration process.

Key Responsibilities:
• Establish and maintain Python/PySpark environments
• Design and implement data pipelines for analytics




• Reverse-engineer legacy SAS for translation to contemporary code
• Optimize performance of PySpark code
• Execute rigorous testing for data quality assurance

Requirements:
• Expertise in Python and PySpark programming
• Experience in building data pipelines for feature engineering
• Ability to interpret SAS code and business logic
• Familiarity with Anaconda for environment management
• Strong SQL capabilities for large datasets

Utilize your data science skills to influence financial services at Iris Software in Toronto.
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📌 Toronto Hybrid Data Scientist Role (Ontario)
🏢 Iris Software
📍 Ontario