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Staff Data Scientist, Monetization

Intuit

$186,500 - $252,000
Dec 7, 2025
Mountain View, CA, US
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Intuit is looking to solve the problem of creating sustainable growth and customer value through data-driven monetization and pricing strategy for QuickBooks

Requirements

  • Proven expertise in pricing model development (e.g., elasticity modeling, LTV optimization, demand forecasting)
  • Hands-on experience applying experimentation frameworks to pricing and monetization (e.g., A/B testing, causal inference, quasi-experiments)
  • Strong proficiency in Python and/or R, and SQL for data manipulation, modeling, and automation
  • Advanced degree (MS/PhD) in a quantitative field such as Economics, Statistics, Applied Mathematics, Computer Science, or a related discipline
  • 8+ years of experience in data science or analytics, with significant focus on pricing, monetization, or revenue optimization

Responsibilities

  • Monetization Leadership: Serve as the subject matter expert on pricing and monetization strategy, defining frameworks for how pricing decisions are made, what data informs them, and how impact is measured
  • Model Development: Design and deploy advanced pricing models (e.g., elasticity, lifetime value, discount optimization) that guide real-world pricing and packaging decisions
  • Financial Forecasting: Build robust financial and scenario models to forecast revenue, profitability, and customer impact, enabling data-driven strategic planning
  • Experimentation Strategy: Apply experimentation principles to pricing and monetization — advising on methodologies, interpreting results, and ensuring insights are actionable
  • Cross-functional Influence: Partner with PMM, Finance, Monetization, and other Data Science teams to align on pricing trade-offs and execution of monetization initiatives
  • Executive Storytelling: Translate complex analytical findings into clear, persuasive narratives that influence senior leadership decisions

Other

  • Advanced degree (MS/PhD) in a quantitative field
  • 8+ years of experience in data science or analytics
  • Demonstrated ability to influence executive decision-making with data-driven insights
  • Comfort navigating ambiguity, setting analytical direction, and driving clarity across multiple stakeholders
  • Exceptional communication skills — able to translate complex analysis into compelling strategic narratives