Join Iris Software in Toronto, ON, as a Data Scientist / ML Engineer in a hybrid setup. Drive data excellence with your skills in Python, PySpark, and SAS code translation.

This role requires strong programming abilities and experience with data pipelines aimed at feature engineering and preparation. You'll be responsible for translating the complexities of legacy SAS into modern PySpark solutions while ensuring high performance. Your cooperative efforts with business stakeholders will help validate outputs and enhance the quality of data migration.

Key Responsibilities:
• Manage Python/PySpark development environments effectively
• Build and deploy data pipelines for analytics use cases
• Reverse-engineer SAS logic into actionable PySpark code




• Collaborate with teams to validate and optimize outputs
• Conduct robust testing to ensure data accuracy

Requirements:
• Proficiency in Python and PySpark
• Proven experience in pipeline development and data curation
• Ability to translate legacy code efficiently
• Experience in managing libraries with Anaconda
• Strong SQL skills and experience with structured datasets

Leverage your programming and analytical skills to impact the data landscape at Iris Software.
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📌 Data Engineer / ML Specialist at Iris Software (Ontario)
🏢 Iris Software
📍 Ontario