4 дня назад
Principal Data Scientist, Product Data & Analytics
203 000 - 274 500CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist, Product Data & Analytics (Product Data Science/AI): Leading international product data science for QuickBooks by building causal inference, experimentation, and AI-native decision systems across multiple markets with an accent on measurable growth impact, production-grade models, and data governance. Focus on designing evaluation and delegation architectures, establishing organizational standards, and solving complex cross-market product analytics challenges.
Location: Toronto, Canada; hybrid work with 3 days per week in the Toronto office
Base pay: CAD 203,000–274,500 per year, with potential bonus, equity rewards, and benefits.
Company
is a global financial technology platform whose products include QuickBooks, TurboTax, Credit Karma, and Mailchimp.
What you will do
- Lead the multi-year product data science strategy for QuickBooks International across Canada, the UK, Australia, and other markets.
- Partner with Product Development, Product Management, and international leadership to align data science investments with product strategy and measurable revenue and growth outcomes.
- Define inference, experimentation, metric-tree, and causal-lever standards adopted across markets.
- Design AI-native data products, agent context, evaluation, delegation-governance, semantic-layer, and monitoring architectures.
- Build and scale production-grade models, analytical frameworks, experimentation systems, and decision infrastructure.
- Mentor data science talent across regions and elevate technical standards across the organization.
Requirements
- 10+ years of experience in Product Data Science, including personally building, shipping, and scaling high-impact models and experimentation frameworks.
- Master’s degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.
- Deep expertise in SQL and Python, causal identification, experiment design, predictive modeling, and production-scale AI evaluation.
- Experience establishing inference, experimentation, evaluation, and AI-native workflow standards adopted by other teams.
- Hands-on experience designing agent-context and delegation-governance architectures for analytical work without a human in the loop.
- Ability to influence senior cross-functional leaders across Product Development, Product Management, and international markets without direct authority.
Nice to have
- Experience with cross-sell and attach strategies in platform businesses spanning QuickBooks and adjacent products.
- Experience across international markets, including understanding market-specific customer behavior, regulatory requirements, and localization nuances.
Culture & Benefits
- Hybrid working model based out of the Toronto office.
- Competitive compensation with performance-based cash bonus eligibility.
- Potential equity rewards and employee benefits under applicable plans and programs.
- Commitment to ongoing pay equity comparisons across ethnicity and gender categories.
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