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 modelsBuild recommendation and ranking systems for financial productsTranslate model outputs into actionable business insightsUse Databricks and MLflow for production workflowsEstablish standards for monitoring, retraining, and reproducibilityRequirements:
At least five years of Data Science experienceExtensive hands-on Databricks and MLflow experienceAdvanced Python, SQL, and machine learning framework proficiencyUnderstanding of supervised learning, ranking, and model evaluationExperience deploying scalable batch or real-time inference systemsLead applied machine learning initiatives using Databricks, predictive modeling, and experimentation to deliver measurable commercial improvements.
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