Build production machine learning solutions at NerdWallet using Databricks, Python, and SQL in a remote Canada role excluding Quebec. Shape personalization and predictive modeling that influence financial decisions.
As a Senior Data Scientist, you will develop applied machine learning systems for consumer personalization, predictive modeling, and performance marketing. You will work hands-on with production ML systems and the Databricks ecosystem. Cross-functional partnerships with Data Engineering, Product, Marketing, and Analytics will connect technical work to business outcomes.

Key Responsibilities

Lead customer lifetime value and conversion propensity model developmentDevelop recommendation and ranking models for financial productsUse Databricks and MLflow across model lifecyclesEstablish experiment tracking, monitoring,



and reproducible pipelinesMentor practitioners and influence machine learning standardsRequirements:
Five or more years in Data Science or Applied Machine LearningHands-on Databricks and MLflow production workflow experienceAdvanced Python, SQL, and contemporary machine learning framework proficiencyUnderstanding of supervised learning, ranking, and model evaluationExperience with scalable batch or real-time inference systemsApply applied machine learning, Databricks, and predictive modeling expertise to advance NerdWallet’s consumer experiences across Canada.
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📌 Senior Applied Machine Learning Scientist (Winnipeg)
🏢 Fundera
📍 Winnipeg