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
Solid 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.

#J-18808-Ljbffr

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