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 effective 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 environmentsDesign and implement data pipelines for analyticsReverse-engineer legacy SAS for translation to modern codeOptimize performance of PySpark codeExecute rigorous testing for data quality assuranceRequirements:Expertise in Python and PySpark programmingExperience in building data pipelines for feature engineeringAbility to interpret SAS code and business logicFamiliarity with Anaconda for environment managementStrong SQL capabilities for large datasetsUtilize your data science skills to influence financial services at Iris Software in Toronto.

📌 Toronto Hybrid Data Scientist Role
🏢 Iris Software
📍 Toronto