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Senior Data Scientist (Applied ML) - Canada

Data Scientist Full-time Permanent Canada

Job details

$161K Salary
Canada Eligibility
Senior Experience
Full-time Employment

About this role

Role overview As a senior individual contributor on an applied machine learning team, you will build production models that improve personalization, customer acquisition, and business performance. The work spans predictive scoring, recommendations, and the infrastructure and standards needed to develop, deploy, and monitor models reliably at scale. You will partner with data engineering, product, marketing, and analytics teams and help shape technical direction.

Responsibilities - Develop and deploy models for customer lifetime value, conversion propensity, lead quality, and revenue optimization. - Build recommendation and ranking approaches that match people with relevant financial products and support tailored experiences. - Use Databricks and MLflow to manage model development, training, deployment, and monitoring. - Establish practices for feature engineering, experiment tracking, model versioning, automated pipelines, reproducibility, and production readiness. - Monitor model reliability, performance, and data drift; design experiments to measure incremental impact and guide improvements. - Mentor data scientists and influence modeling and engineering standards across the team.

Requirements - At least 5 years of professional data science or applied machine learning experience with measurable production impact. - Hands-on Databricks experience, including production workflows using MLflow. - Advanced Python and SQL skills and experience with frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow. - Strong grounding in supervised learning, classification, regression, ranking, and model evaluation. - Experience designing scalable batch or real-time inference systems, with attention to latency, reliability, and performance. - Sound software engineering practices, including version control, testing, modular design, and CI/CD; relevant quantitative degree or equivalent experience.

Benefits and work setup - Remote within Canada, excluding Quebec. - Includes healthcare, wellness, connectivity, and home-office stipends; paid vacation, provincial public holidays, and sabbatical leave. - Offers a retirement savings plan with a 4% match, financial planning support, employee groups, and team events.

Skills detected in the listing

PythonSQLData EngineeringStakeholder ManagementMachine Learning
Detected Nov 5, 2026
Last verified Nov 5, 2026

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