Lead Data Scientist

📋 Description

• Develop advanced machine learning models: Design, build, and deploy statistical and machine
• Lead end-to-end data science initiatives: Own the complete lifecycle of analytical projects, from
• Drive cross-functional collaboration: Partner with Portfolio Strategy, Engineering, Product
• Establish technical standards: Define best practices for model development, code quality, technical
• Build production-ready ML infrastructure: Develop and maintain scalable machine learning pipelines
• Mentor and support team members: Provide technical guidance, share expertise, and foster a culture

🎯 Requirements

• Professional experience: 8+ years of hands-on experience developing and deploying models using
• Machine learning expertise: Strong experience with generalized linear models, gradient boosting
• Credit risk modeling: Deep experience building and deploying credit risk models, particularly
• Production machine learning: Experience with production-grade ML pipelines, real-time models, and
• Programming proficiency: Expert-level knowledge of Python, SQL, and Git.
• Cloud platforms: Experience deploying and managing models in cloud environments, particularly AWS

🎁 Benefits

• Competitive base salary: Annual compensation ranging from CA$172,000 to CA$237,000, depending on
• Annual performance bonus: Opportunity to earn an additional 12% annual bonus.
• Comprehensive healthcare: Medical, dental, and vision coverage.
• Flexible time off: Flexible paid time-off policy.
• Paid parental leave: Support for employees and their families.
• Retirement savings: RRSP matching contributions.