Principal Data Scientist, Product Data & Analytics

Intuit; Toronto; Sur place; CAD 203 000 - 275 000; Plein temps

Avantages offerts par ce poste

Cash bonus

Equity rewards

Benefits package

Résumé du poste

Intuit is seeking a senior leader in Product Data Science to shape the international QuickBooks strategy. You will steer inference, experimentation, and AI-native investments across markets, partnering with product leaders to drive measurable growth.

Mentoring regional talent and establishing governance will be key as the org scales globally. The role focuses on scaling capabilities, defining evaluation architectures, and leveraging data to influence cross-market roadmaps and investment

Qualifications

• 10+ years in Product Data Science driving revenue across multiple markets.
• Master's or higher in a quantitative field.
• Proven pattern design for inference and experimentation that others adopt.
• Deep SQL and Python expertise for production-grade analytics.

Responsabilités

• Define and lead multi-year vision for QuickBooks International Product Data Science.
• Own revenue and growth outcomes across international markets.
• Mentor and scale data science capabilities across regions.

Connaissances

Product Data Science

SQL

Python

Experiment design

AI-native workflows

Influence senior leaders

Formation

Master's degree in a quantitative field

Outils

SQL

Python

Description du poste

Overview

QuickBooks is Intuit's flagship platform for small and mid-sized businesses, and our International business — spanning Canada, the UK, Australia, and beyond — is a critical growth engine as we scale a truly global platform. Product Data Science sits at the center of that growth, translating market-specific customer behavior into the models, experiments, and decisions that shape the QuickBooks product roadmap in every market we serve.

Responsibilities

Strategic Leadership & Vision

• Define and lead the multi-year vision for QuickBooks International Product Data Science — setting the framework for aligning inference, experimentation, and AI-native investments with product strategy and measurable business outcomes across every market.
• Partner with International Product leadership and market-level Product Development and Product Management teams to transform the function into an AI-native organization, designing the data-product and data agent-context the organization builds on.

Outcome-Driven Product Impact

• Own accountability for revenue and growth outcomes across International markets, ensuring modeling, experimentation, and AI investments are prioritized for maximum cross-market impact.
• Set the inference and experimentation patterns — designs, guardrails, lifecycle standards — that teams across markets adopt as their default
• Frame the questions that change strategy across the organization: define the metric trees and causal levers that multiple business areas and markets manage to, and drive insights that alter org-level roadmaps and investment decisions.
• Design the agent-context, evaluation, and delegation-governance architecture the organization adopts — how rigor is encoded, certified, and monitored when analysis runs without a human in the loop.

Capability Building & Craft Elevation

• Champion and scale durable Product Data Science capabilities across markets by establishing rigorous standards for inference & algorithms, AI-native evaluation, and data-product / decision governance — your evaluation architectures become the org's pattern.
• Set the semantic layers, context, and monitoring patterns that other teams across International adopt as their default.
• Mentor top data science talent across regions, fostering ownership, technical excellence, and continuous learning; the framing patterns you set become how the org decomposes problems.

Qualifications

• 10+ years of experience in Product Data Science, with a demonstrated track record of personally building, shipping, and scaling high-impact models, analytical and experimentation frameworks that drove measurable revenue and growth outcomes across multiple markets.
• Master's degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.
• Proven experience transforming data science practices — establishing inference and experimentation patterns, evaluation architectures, and AI-native workflows — that other teams adopt as their default.
• Deep technical expertise in SQL and Python, with strong command of causal identification, experiment design, predictive modeling, and AI evaluation (golden datasets, LLM-as-judge, synthetic testbeds) at production scale.
• Hands-on experience designing agent-context and delegation-governance architectures — proving which analytical work may run without a human in the loop.
• Demonstrated ability to influence senior cross-functional leaders across Product Development, Product Management, and international markets without direct authority.
• Familiarity with cross-sell and attach strategies within platform businesses spanning QuickBooks and adjacent products.
• Experience operating across international markets (e.g., Canada, UK, Australia) with an understanding of market-specific customer behavior, regulatory, and localization nuances, not required but considered a plus.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The Expected Base Pay Range For This Position Is

Toronto $203,000 - $274,500