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 (Canada)
🏢 NerdWallet
📍 Canada