Principal Data Scientist, Product Data & Analytics

Role overview

Responsibilities

• Set a multi-year vision aligning inference, experimentation, and AI investments with product strategy and measurable outcomes.
• Partner with product leaders and regional Product Development and Product Management teams to build an AI-native organization.
• Own accountability for revenue and growth outcomes and prioritize work for cross-market impact.
• Set inference and experimentation designs, guardrails, and lifecycle standards adopted across markets.
• Define metric trees and causal levers and drive insights that shape roadmaps and investment decisions.
• Design agent-context, evaluation, and delegation-governance architecture for analysis without a human in the loop.
• Establish standards for inference, algorithms, AI evaluation, data products, and decision governance.
• Set semantic-layer, context, and monitoring patterns; mentor data science talent across regions.

Qualifications

• 10+ years of Product Data Science experience.
• Master’s degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.
• Track record building, shipping, and scaling models and analytical or experimentation frameworks that drove revenue and growth across multiple markets.
• Experience establishing inference and experimentation patterns, evaluation architectures, and AI-native workflows adopted by other teams.
• Deep expertise in SQL, Python, causal identification, experiment design, predictive modeling, and production-scale AI evaluation.
• Hands-on experience designing agent-context and delegation-governance architectures for work without human oversight.
• Ability to influence senior cross-functional leaders without direct authority.
• Cross-sell and attach strategy familiarity is a plus; international market experience and understanding of regulatory and localization nuances are also a plus.

Work arrangement

• Hybrid working model based out of the Toronto office three days per week.

Compensation

• Expected base pay range in Toronto: CAD 203,000–CAD 274,500.
• The position may also be eligible for a cash bonus, equity rewards, and benefits; pay depends on job-related factors including knowledge, skills, experience, and work location.