Intuit is building a new Consumer-SMB Ecosystem business focused on driving growth through innovation in fintech, digital marketing, loyalty, and AI-driven automation. The Data Science team needs to accelerate decision-making through advanced models, insights, and experimentation to address customer and business challenges within the Workforce Solutions segment of QuickBooks.
Requirements
- 10+ years of experience in data science with proven business impact; experience in Product and Go-To-Market data science highly preferred.
- Advanced SQL and experience with large, structured/unstructured datasets.
- Proficiency in Python and statistical/machine learning libraries (NumPy, Pandas, scikit-learn, etc.).
- Experience with causal inference (e.g., propensity score matching, diff-in-diff, synthetic control).
- Familiarity with Generative AI and agentic solutions to accelerate insights.
- Expertise in experimentation frameworks (A/B testing and beyond) and building scalable, reusable data science solutions.
- Experience with BI and visualization tools (Tableau, Qlik, Plotly Dash, etc.).
Responsibilities
- Build and apply predictive models, customer segmentation frameworks, and advanced experimentation methods (beyond A/B testing) to influence product and GTM strategies.
- Establish durable data science–driven processes across the product development lifecycle, from ideation through scaling.
- Lead strategic learning plans for product and marketing initiatives, including requirements for instrumentation, reporting, and experimentation.
- Own and prioritize the data science roadmap and backlog, ensuring high-value models and insights are delivered to the business.
- Develop the strategic vision for data science, defining success criteria, key metrics, and long-term goals to guide leadership decisions.
- Translate complex modeling outcomes into clear narratives and recommendations for both technical and executive audiences.
- Partner with Product, Engineering, Design, Marketing, Finance, and Operations to drive product strategy, experimentation, and customer impact and be accountable for revenue outcomes for the business.
Other
- Exceptional storytelling and communication skills, with the ability to influence senior leaders.
- Demonstrated success in boundaryless collaboration across complex orgs, partnering with global stakeholders.
- Ability to manage multiple initiatives simultaneously while meeting deadlines.
- Passion for mentoring, coaching, and building high-performing data science teams.
- Experience in SaaS, fintech, or financial services industries.
