Data Scientist / Machine Learning Engineer – Toronto

A data professional with expertise in Python and PySpark develops scalable data pipelines, manages environments with Conda, and oversees feature engineering. They reverse-engineer legacy SAS code into efficient PySpark scripts and optimise distributed data processing for performance and scalability. Collaborating with stakeholders, they validate feature outputs and ensure data integrity through rigorous testing and reconciliation. They document technical processes, including design, migration, and validation procedures, to support team growth. The role involves working on platform modernisation, translating legacy code, and leveraging cloud data environments in AWS, Azure, or GCP. Effective communication skills and problem-solving abilities are essential for interfacing with business users and data scientists.