Iris Software is seeking a full time Data Scientist / ML Engineer for a hybrid role in Toronto, ON. Engage in data wrangling, Python programming, and pipeline development to enhance financial services. In this pivotal role, you'll spearhead foundational setup while managing Python/PySpark development settings.

Your expertise in code translation from SAS to PySpark will play a crucial part in modernizing platforms and optimizing performance. Collaborate with business users and data scientists to ensure smooth feature output validation and data quality assurance. Key Responsibilities:
Lead feature engineering and foundational setup of Python/PySpark environments
Design and deploy data pipelines for machine learning and analytics




Analyze and reverse-engineer existing SAS programs
Translate SAS logic into effective PySpark code
Perform unit testing and ensure data parity between outputs Requirements:
Strong skills in Python and PySpark for data processing
Experience in building data pipelines and feature engineering
Ability to interpret and translate legacy SAS code
Proficient in environment management using Anaconda
Advanced SQL skills with large-scale datasets Bring your analytical and programming expertise to advance data solutions at Iris Software in Toronto.

📌 Full Time Data Scientist In Toronto
🏢 Iris Software
📍 Toronto