Senior Data Scientist (Applied ML)

📋 Description

• Lead the end-to-end development, deployment, and optimization of advanced machine learning models
• Translate predictive model outputs into actionable business insights that improve marketing
• Design, develop, and implement recommendation and ranking systems that match consumers with
• Explore and apply advanced machine learning approaches, including propensity modeling
• Collaborate with Product and Marketing teams to integrate predictive intelligence into
• Leverage Databricks and MLflow to build, train, deploy, monitor, and manage production-grade

🎯 Requirements

• At least 5 years of professional experience in Data Science, Applied Machine Learning, or a related
• Extensive, hands-on experience with Databricks, including building and managing production machine
• Advanced proficiency in Python and SQL, with substantial experience using modern machine learning
• Strong understanding of supervised learning, predictive modeling, classification, regression
• Practical experience designing, developing, and deploying scalable batch and/or real-time inference
• Strong software engineering fundamentals, including version control, automated testing, modular

🎁 Benefits

• Competitive annual base salary ranging from CA$161,000 to CA$243,000, depending on qualifications
• Fully remote, remote-first working environment, with the flexibility to work from anywhere in
• Monthly healthcare stipend to support personal and family well-being.
• Vacation time off through a rejuvenation policy, in addition to official public holidays in your
• Paid sabbatical opportunities to recharge, pursue personal interests, and expand professional
• Monthly wellness stipend to support physical and emotional well-being.