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