Principal Data Scientist
Intuit
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job 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.
Responsibilities
- 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.
Qualifications
- 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).
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: