Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically - backed natural bone - loss solution. Transforming data into strategies that improve efficiency, sales, and profitability.
About the role
- Senior Data Scientist building production ML models for NerdWallet’s financial product recommendations and marketing decisions. Shaping Databricks-based personalization, prediction, and experimentation.
Responsibilities
- 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
Requirements
- 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
Benefits
- 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
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