Senior Data Scientist

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Location
Mountain View, California
Job ID 21590

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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’s Global Business Solutions Group (GBSG) builds tools and services that help small and mid-sized businesses manage cash flow and grow. Within this mission, the Capabilities Data Science team partners closely with QuickBooks Capital to deliver data-driven insights, scalable machine learning solutions, and emerging AI capabilities that improve lending experiences and outcomes.

This role sits at the intersection of product data science and AI enablement. You’ll drive business impact through analytics and modeling while also building tools, workflows, and best practices that help data scientists across the organization work more efficiently and effectively.

Responsibilities

Product & Growth Data Science

• Identify and size business opportunities, define success metrics, and deliver actionable insights to drive lending growth
• Build predictive models, design and analyze experiments, and develop customer segmentation strategies
• Analyze internal and partner data to uncover trends and inform product, marketing, and lending decisions
• Partner cross-functionally with Product, Marketing, Engineering, and Design to influence roadmap and execution
• Communicate complex analyses clearly to both technical and non-technical audiences

AI & Automation Enablement

• Develop agents, servers, MCPs, and orchestration frameworks to automate workflows and scale impact across the Data Science organization
• Serve as a go-to expert for onboarding and adoption of AI tools (e.g., Cursor, Figma Make, GenOS, Blobbot), removing friction and enabling productivity
• Create playbooks, establish best practices, and identify high-impact AI use cases aligned with business needs
• Coach team members on applying LLMs to data challenges such as data matching, cleansing, and instrumentation design

ML & Data Governance

• Establish best practices for ML lifecycle management, including batch models and emerging LLM-based systems
• Support the team’s transition from traditional ML approaches to effective use of generative AI
• Advise on data security, governance, and fine-grained access controls
• Promote scalable, reusable analytics and modeling frameworks to improve efficiency across teams

Qualifications

• 4–8 years of experience in data science or analytics, ideally in fintech (lending, credit cards, or marketplaces)
• Strong foundation in experimentation, predictive modeling, and data-driven decision-making
• Experience working with large datasets and building scalable analytics or ML solutions
• Proven ability to influence cross-functional stakeholders and drive business impact
• Strong communication skills and ability to translate complex findings into clear recommendations
• BS or MS in Statistics, Mathematics, Computer Science, Engineering, Econometrics, or a related field

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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:

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