Lead growth-focused machine learning and advanced analytics as a Data Scientist at EQ, working hybrid from Toronto. Build measurable solutions for banking growth. This Data Scientist, Growth role leads the full analytical lifecycle, from ambiguous problem framing through production implementation. You will develop solutions for pricing, customer engagement, recommendation systems, experimentation, and model-driven decision support. The work spans scalable data workflows and cloud analytical environments. Key Responsibilities:

Lead machine learning development for growth and decisioning initiatives Design scalable pipelines and feature engineering frameworks Develop experimentation, uplift, and causal measurement frameworks Deploy, monitor,



and retrain production machine learning solutions Communicate findings to technical and non-technical stakeholders Requirements:

Bachelor's or Master's degree in a quantitative discipline Six or more years of data science experience Robust Python, Structured Query Language, and statistical analysis proficiency Experience deploying and monitoring production machine learning models Experience with cloud analytical environments and Git-based development Apply advanced analytics, experimentation, and machine learning expertise to growth decision-making at EQ in Toronto.

📌 Growth Data Scientist Machine Learning (Toronto)
🏢 EQ Bank | Canada's Challenger Bank
📍 Toronto