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 environmentsDesign and deploy data pipelines for machine learning and analyticsAnalyze and reverse-engineer existing SAS programsTranslate SAS logic into productive PySpark codePerform unit testing and ensure data parity between outputsRequirements:Strong skills in Python and PySpark for data processingExperience in building data pipelines and feature engineeringAbility to interpret and translate legacy SAS codeProficient in environment management using AnacondaAdvanced SQL skills with large-scale datasetsBring your analytical and programming expertise to advance data solutions at Iris Software in Toronto.#J-18808-Ljbffr

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