Intuit's QuickBooks team needs to drive sustainable growth and customer value through data-driven monetization and pricing strategy, requiring a Staff Data Scientist to lead these efforts.
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.
Responsibilities
- Design and deploy advanced pricing models (e.g., elasticity, lifetime value, discount optimization) that guide real-world pricing and packaging decisions.
- Build robust financial and scenario models to forecast revenue, profitability, and customer impact, enabling data-driven strategic planning.
- Apply experimentation principles to pricing and monetization — advising on methodologies, interpreting results, and ensuring insights are actionable.
- 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.
- Translate complex analytical findings into clear, persuasive narratives that influence senior leadership decisions.
- Partner with PMM, Finance, Monetization, and other Data Science teams to align on pricing trade-offs and execution of monetization initiatives.
Other
- 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.
- 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.
