Senior Data Scientist (Applied ML)

Location: Remote anywhere in Canada except Quebec

Salary: CA$161K–CA$243K annually

Company

hirify.global provides clarity for financial decisions by helping consumers understand their options, personalize their experiences, and connect with suitable financial products.

What you will do

• Lead end-to-end development of machine learning models for customer lifetime value, conversion propensity, lead quality, and revenue optimization.
• Develop recommendation, ranking, propensity, and next-best-product models for personalized financial product experiences and communications.
• Build, deploy, monitor, and manage production ML workflows with Databricks and MLflow.
• Establish practices for experiment tracking, model versioning, feature engineering, automated training, monitoring, reproducibility, and production readiness.
• Design experiments to measure incremental business impact and improve model effectiveness.
• Provide technical leadership, mentor practitioners, and influence ML architecture and engineering standards.

Requirements

• 5+ years of professional experience in Data Science, Applied Machine Learning, or a related field, including developing and deploying ML solutions with measurable business impact.
• Hands-on Databricks experience building and managing production ML workflows with MLflow and the Databricks ML ecosystem; similar platforms are not a substitute.
• Advanced Python and SQL proficiency, with extensive experience in modern ML frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.
• Strong knowledge of supervised learning, predictive modeling, classification, regression, ranking, and model evaluation.
• Experience designing scalable batch and/or real-time inference systems, including latency, reliability, and performance trade-offs.
• Strong software engineering fundamentals in version control, testing, modular code design, and CI/CD for ML.
• Ability to independently lead complex, ambiguous initiatives from problem definition through deployment and business impact measurement.
• Business acumen connecting technical solutions to revenue growth, conversion, customer lifetime value, and marketing efficiency.
• Excellent communication and collaboration skills, including 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.

Culture & Benefits

• Remote-first work with benefits supporting physical, financial, and emotional well-being.
• Monthly healthcare, wellness, Wi-Fi, cell phone, and work-from-home equipment stipends.
• Vacation time, provincial public holidays, and a paid sabbatical.
• RRSP with a 4% match, available one month after hire, plus financial wellness support and access to a Certified Financial Planner.
• Employee resource groups, hackathons, team events, and company-wide events.