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 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