Senior Applied Machine Learning Scientist

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 modern 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.