
501 - 1000 employees
Founded 2009
💸 Finance
💳 Fintech
💰 Secondary Market on 2021-05
Finance • Fintech
NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. The company prides itself on cultivating an award-winning culture that fosters equity and inclusivity, allowing its employees, known as 'Nerds', to thrive. It invests heavily in its workforce through professional development and community engagement, focusing on helping the underserved and unbanked populations through its Corporate Social Responsibility programs. NerdWallet has been recognized for its positive workplace culture and commitment to making a tangible difference in the lives of consumers.
🔥 0 minutes ago
Where this job comes from
Posted on NerdWallet's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

501 - 1000 employees
Founded 2009
💸 Finance
💳 Fintech
💰 Secondary Market on 2021-05
Finance • Fintech
NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. The company prides itself on cultivating an award-winning culture that fosters equity and inclusivity, allowing its employees, known as 'Nerds', to thrive. It invests heavily in its workforce through professional development and community engagement, focusing on helping the underserved and unbanked populations through its Corporate Social Responsibility programs. NerdWallet has been recognized for its positive workplace culture and commitment to making a tangible difference in the lives of consumers.
• Lead end-to-end development of machine learning models for customer lifetime value, conversion propensity, lead quality, and revenue optimization • Translate model predictions into signals improving marketing investment decisions, customer acquisition efficiency, and long-term profitability • Develop recommendation and ranking models for personalized financial product recommendations • Implement propensity modeling, learning-to-rank, and next-best-product recommendations • Integrate predictive intelligence into consumer experiences and personalized communications with Product and Marketing • Use Databricks and MLflow to develop, train, deploy, monitor, and manage models at scale • Establish experiment tracking, model versioning, feature engineering, automated training pipelines, model monitoring, and reproducibility practices • Define standards for model performance, reliability, retraining, and production readiness • Monitor data drift and model degradation • Design and evaluate experiments measuring incremental business impact • Mentor practitioners, influence architectural decisions, and elevate engineering and modeling standards • Partner with Data Engineering, Product, Marketing, and Analytics to translate business problems into scalable ML solutions
• 5+ years of professional experience in Data Science, Applied Machine Learning, or a related field • Hands-on Databricks experience building and managing production machine learning workflows using MLflow and the Databricks ML ecosystem; similar platforms are not a substitute • Advanced proficiency in Python and SQL • Extensive experience with scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow • Strong understanding of supervised learning, predictive modeling, classification, regression, ranking, and model evaluation techniques • Experience designing scalable batch and/or real-time inference systems • 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 • Ability to independently lead complex, ambiguous technical initiatives from problem definition through deployment and business impact measurement • Strong business acumen connecting technical solutions to measurable outcomes • Excellent communication and collaboration skills; experience influencing technical direction and working 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 • Must be located anywhere in Canada except Quebec • Must be authorized to work in Canada
• Monthly Healthcare Stipend • Rejuvenation Policy – Vacation Time Off + official public holidays in your province • Paid sabbatical • Monthly Wellness Stipend • Wifi Stipend • Cell Phone Stipend • Work from home equipment stipend • Employee Resource Groups • Hackathons and team events • Company-wide events • RRSP with a 4% match, eligible one month after hire • Financial wellness guidance and unlimited access to a Certified Financial Planner (CFP) through Northstar
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 Yesterday
Senior Data Scientist developing fraud-detection models for Akamai’s cloud and edge security platform. Improving detection accuracy and troubleshooting distributed production systems.
🕒 Yesterday
Senior Data Scientist optimizing analytics, experimentation, and revenue for Coalition’s cyber insurance business. Building metrics, dashboards, models, and data-backed product strategies.
🕒 5 days ago
Technical Lead owning pipelines, workflows, and data services for CapIntel’s wealth-management software platform. Leading data engineers while improving reliability, onboarding, observability, and financial-data capabilities.
🇨🇦 Canada – Remote
💵 $145k - $170k / year
💰 $11M Series A on 2022-06
⏰ Full Time
🟠 Senior
📊 Data Scientist
🕒 5 days ago
Senior Data Scientist using experiments and predictive models to improve retention and engagement at Fetch. Shaping lifecycle interventions and product decisions for its rewards and advertising platform.
🇨🇦 Canada – Remote
💵 CA$162.3k - CA$191k / year
💰 Debt Financing on 2022-04
⏰ Full Time
🟠 Senior
📊 Data Scientist
🕒 5 days ago
Senior Data Scientist leading audience creation and causal measurement for Fetch’s rewards-based advertising platform. Owning monetization product strategy, data products, and evidence-backed commercial decisions.
🇨🇦 Canada – Remote
💵 CA$186.4k - CA$219.3k / year
💰 Debt Financing on 2022-04
⏰ Full Time
🟠 Senior
📊 Data Scientist