Senior Applied Machine Learning Scientist

Apply advanced machine learning and Python expertise as a Senior Data Scientist in Canada’s remote-first environment. Build production models that improve customer experiences.

This senior role focuses on developing predictive models, recommendation engines, and personalization systems. You will address customer lifetime value, lead scoring, conversion optimization, and financial product recommendations. Collaboration spans Data Engineering, Product, Marketing, and Analytics teams.

Key Responsibilities:

• Lead development, deployment, and optimization of machine learning models
• Build recommendation and ranking systems for financial products
• Translate model outputs into actionable business insights
• Use Databricks and MLflow for production workflows
• Establish standards for monitoring, retraining, and reproducibility

Requirements:

• At least five years of Data Science experience
• Extensive hands-on Databricks and MLflow experience
• Advanced Python, SQL, and machine learning framework proficiency
• Understanding of supervised learning, ranking, and model evaluation
• Experience deploying scalable batch or real-time inference systems

Lead applied machine learning initiatives using Databricks, predictive modeling, and experimentation to deliver measurable commercial improvements.