Назад
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4 дня назад

Principal Data Scientist, Product Data & Analytics

203 000 - 274 500CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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