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 environments. 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 productive 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.
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📌 Full-Time Data Scientist in Toronto (Ontario)
🏢 Iris Software
📍 Ontario