Staff Data Scientist

Intuit•Mountain View, CA

29d

About The Position

Intuit's Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses to manage cash flow. At the heart of this mission, the QuickBooks Capital team is developing innovative solutions that empower customers to confidently access the right loan offerings with greater ease. The Lending Data Science team is seeking an experienced Data Scientist to lead data science and analytics for our Direct Lending products -a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans. By leveraging Intuit's rich customer data, this platform aims to deliver personalized loan offers and streamline the application experience. In this role, you'll analyze both internal and lender data to uncover actionable insights, provide strategic recommendations, and help scale the marketplace rapidly. The ideal candidate will have a solid foundation in quantitative analysis, experience working with large datasets, and a strong background in data-driven decision-making. Prior experience in fintech lending including credit card or marketplace analytics is a plus.

Requirements

6-10 years of experience in data science and analytics
Proven ability to form hypotheses and find business opportunities based on customer behavior, industry trends, and market conditions
Experience in building scalable, reusable analytics tools and avoiding redundant efforts
Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing
Strong expertise in causal inference, predictive modeling, customer segmentation, and experimentation design.
Excellent communication and stakeholder influence skills across business and technical teams
Ability to work independently and collaboratively in a fast-paced, dynamic environment
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field
Advanced SQL proficiency and hands-on experience with visualization tools such as Tableau
Strong analytical and modeling skills using Python or R
Experience applying statistical and machine learning techniques to solve go-to-market and product problems

Nice To Haves

Expertise in causal inference, LTV modeling, or other statistics in situations where A/B testing ability is limited
Background or experience working in analytics engineering or business intelligence roles
Experience addressing growth-related challenges at fintech companies focused on lending or fintech partnerships serving consumers or SMBs
Familiarity with Generative AI and other emerging technologies

Responsibilities

Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
Driving strategic insights to shape growth for QuickBooks Capital and positively impact millions of small and medium sized businesses
Developing predictive models, causal inference studies, and A/B testing to uncover customer insights to drive product, marketing, and lending innovations.
Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience.
Collaborating closely with cross-functional partners in Product Management, Marketing, Engineering, and Design to inform and guide product strategy.
Translating complex data into clear, actionable insights for both technical and non-technical stakeholders

Benefits

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).

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