Principal Data Scientist

Intuit • Mountain View, CA

99d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services