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 efficient PySpark code • Perform unit testing and ensure data parity between outputs

Requirements: • Robust 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. #J-18808-Ljbffr

📌 Full-Time Data Scientist in Toronto (Winnipeg)
🏢 Iris Software
📍 Winnipeg