Senior Staff Data Scientist, Quickbooks

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Location
Mountain View, California
Job ID 17030

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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 QuickBooks is a market leader in accounting and financial solutions for small and mid-market businesses. Intuit Intelligence is the next evolution of the QuickBooks Platform — a powerful, unified interface that leverages QuickBooks data to deliver real-time insights, take intelligent action, and connect customers with trusted expert guidance.

The Intuit Intelligence team is at the forefront of redefining how millions of small and mid-market businesses interact with their finances, building cutting-edge GenAI and Agentic done-for-you solutions that help customers move faster, operate smarter, and grow with confidence. We collaborate closely with Product Management, Engineering, Design, AI Science, Marketing and Business Operations teams to drive data-informed decisions through strategic thinking, experimentation, and predictive analytics.

As a senior member of this team, you will uncover actionable insights and deliver recommendations that fuel the growth of one of Intuit's most strategic priorities. The ideal candidate brings a strong background in quantitative analysis, a track record of influencing decisions with data, and a passion for building what's next.

Responsibilities

As a Senior Staff Data Scientist, you will dive deep into data to shape strategic decisions that directly impact product development and Go-to-Market strategies.

• Conceptualize business problems, formulate hypotheses, define key metrics, and deliver actionable recommendations.
• Drive strategic insights that shape the future of Intuit Intelligence, impacting millions of small businesses worldwide.
• Develop predictive models, design and interpret complex experiments, and generate customer insights that inform product innovation.
• Build durable customer segmentation frameworks to refine product targeting, positioning, and experience.
• Partner with Product, Marketing, Engineering, Design and AI leaders to deliver insights that drive strategy and growth.
• Translate complex data findings into clear, actionable recommendations for both technical and non-technical stakeholders.

Qualifications

The ideal candidate is a curious, proactive data scientist with a strong understanding of customer behavior and a passion for AI-powered product experiences. They actively embrace and build with the latest AI tools — leveraging them to sharpen their own productivity, deepen analytical capabilities, and elevate data fluency across the organization.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
• 10+ years of experience in data science or product analytics, with a strong foundation in predictive modeling, customer segmentation, and experimentation.
• Proven ability to formulate data-backed strategies that drive step-function business growth and increase customer benefit.
• Experience designing and interpreting complex experiments beyond traditional A/B testing.
• Track record of building reusable, scalable analytics solutions with a focus on efficiency.
• Outstanding communication skills with the ability to influence decision-makers and build cross-functional consensus.
• Adaptable and self-directed, with the ability to thrive independently or collaboratively in a fast-paced environment.

Technical Skills:

• Advanced SQL and proficiency in visualization tools such as Qlik, Tableau, or Plotly Dash.
• Strong modeling skills using Python (NumPy, Pandas, Scikit-learn, etc.).
• Experience with causal inference techniques including propensity score matching, difference-in-differences, and synthetic control methods.
• Familiarity with Generative AI tools and emerging technologies to build agentic data solutions, and extract insights from multi-modal data.

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:

Bay Area California $204,500- 276,500

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