Establish Best-in-Class ML Practices

• Leverage Databricks and MLflow to develop, train, deploy, monitor, and manage machine learning models at scale.
• Establish robust DS practices, including experiment tracking, model versioning, feature engineering, automated training pipelines, model monitoring, and reproducibility.
• Define standards for model performance, reliability, retraining, and production readiness, including monitoring for data drift and model degradation.
• Design and evaluate experiments to measure the incremental business impact of deployed models and continuously improve their effectiveness.
• Serve as a technical leader within Data Science, mentoring other practitioners, influencing architectural decisions, and elevating engineering and modeling standards across the organization.

Your experience:

• 5+ years of professional experience in Data Science, Applied Machine Learning, or a related field, with a demonstrated track record of developing and deploying ML solutions that drive measurable business impact.
• Deep, hands-on experience with Databricks, including building and managing production machine learning workflows using MLflow and the Databricks ML ecosystem. Please note: this role requires hands-on Databricks experience specifically, and experience with similar platforms is not a substitute.
• Advanced proficiency in Python and SQL, with extensive experience using modern machine learning frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.
• Strong understanding of supervised learning, predictive modeling, classification, regression, ranking, and model evaluation techniques.
• Practical experience designing scalable batch and/or real-time inference systems, with an understanding of latency, reliability, and performance trade-offs.
• Strong software engineering fundamentals, including version control, testing, modular code design, and CI/CD practices for machine learning.
• Demonstrated ability to independently lead complex, ambiguous technical initiatives from problem definition through deployment and business impact measurement.
• Strong business acumen and the ability to connect technical solutions to measurable outcomes such as revenue growth, conversion improvement, customer lifetime value, and marketing efficiency.
• Excellent communication and collaboration skills, with experience influencing technical direction and working effectively with senior stakeholders and cross-functional teams.
• Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline, or equivalent practical experience.

Where:

• This is a remote position and a person can be located anywhere in Canada (with the exception of Quebec).
• NerdWallet is proud to be a remote-first company! We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family.

What we offer:

Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?)

• Monthly Healthcare Stipend
• Rejuvenation Policy – Vacation Time Off + You will receive the official public holidays in your province
• Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests
• Monthly Wellness Stipend, Wifi Stipend, and Cell Phone Stipend
• Work from home equipment stipend 

Have Some Fun! (Nerds are fun, too)

• Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities
• Hackathons and team events across all teams and departments
• Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction 

Plan for your future (And when you retire on your island, remember the little people)

• RRSP with a 4% match. Eligible one month after hire. 
• Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar

NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. 

#LI-DNI

Compensation: CA$161K - CA$243K