Lead Data Scientist

📋 Description

• Investigate revenue opportunities and underlying data, translating findings into opportunities that
• Design, build, deploy, and operate production ML systems, including batch inference, online
• Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps teams to
• Establish monitoring and measurement frameworks to evaluate model performance, product outcomes
• Implement data, code, and model lineage practices that support secure, reproducible, and compliant
• Collaborate with Data Engineering to improve pipelines and the broader data ecosystem supporting

🎯 Requirements

• 6+ years of professional experience scoping, building, analyzing, and deploying ML-powered systems
• Advanced degree in a quantitatively rigorous discipline involving sophisticated statistical
• Strong programming experience with Python, scikit-learn, PySpark, and tools for causal inference
• Demonstrated technical training and professional experience applying modern causal inference and
• Strong experience working with existing datasets, designing instrumentation to generate new data
• Hands-on experience designing, monitoring, and analyzing experiments in consumer technology

🎁 Benefits

• Competitive annual base salary for Canada of $171,500–$202,500 CAD, with final compensation
• Equity compensation through Restricted Stock Units (RSUs) as part of the total compensation package.
• Comprehensive benefits including medical, dental, vision, life, and disability coverage
• RRSP with a DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program and Employee Assistance Program (EAP).