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 development Develop recommendation and ranking models for financial products Use Databricks and MLflow across model lifecycles Establish experiment tracking,



monitoring, and reproducible pipelines Mentor practitioners and influence machine learning standards Requirements:

Five or more years in Data Science or Applied Machine Learning Hands-on Databricks and MLflow production workflow experience Advanced Python, SQL, and contemporary machine learning framework proficiency Understanding of supervised learning, ranking, and model evaluation Experience with scalable batch or real-time inference systems Apply applied machine learning, Databricks, and predictive modeling expertise to advance NerdWallet’s consumer experiences across Canada.

📌 Senior Applied Machine Learning Scientist (Winnipeg)
🏢 NerdWallet
📍 Winnipeg