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Overview

Intuit is a global leader in financial and business management solutions, serving more than

150M consumers and 10M SMBs through products such as QuickBooks, TurboTax, Credit Karma, and Mailchimp. We are building a new Consumer–SMB Ecosystem business, a fast-growing startup inside Intuit, focused on driving the next stage of growth through innovation in fintech, digital marketing, loyalty, and AI-driven automation.

The Data Science team plays a critical role in shaping strategy, scaling new businesses, and delivering delightful customer experiences. Our mission is to accelerate decision-making through advanced models, insights, and experimentation that address our most important customer and business challenges.

We are seeking a Principal Data Science Leader to help define strategy, deliver impactful models and insights, and drive measurable outcomes for the Workforce Solutions segment within QuickBooks.

What you'll bring

+ 10+ years of experience in data science with proven business impact; experience in Product and Go-To-Market data science highly preferred.

+ Strong technical foundation:

• 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.).

+ 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.

Preferred Additional Qualifications

+ Experience in SaaS, fintech, or financial services industries.

+ Proven track record of shaping data science strategy at scale for new or high-growth products.

+ Familiarity with ecosystem dynamics (multi-product attach, cross-sell, customer lifecycle value).

How you will lead

+ Develop the strategic vision for data science, defining success criteria, key metrics, and long-term goals to guide leadership decisions.

+ 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.

+ Build and apply predictive models, customer segmentation frameworks, and advanced experimentation methods (beyond A/B testing) to influence product and GTM strategies.

+ Translate complex modeling outcomes into clear narratives and recommendations for both technical and executive audiences.

+ 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.

+ Mentor, coach, and develop other data scientists, raising the overall craft of the team and guiding their growth through technical reviews, feedback, and career development.

+ Operate with speed and agility in a fast-moving environment, making data-backed decisions that drive measurable outcomes.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.