Staff Data Scientist, Lending Externalization

Position Overview

Intuit’s Global Business Solutions Group (GBSG) is dedicated to building tools that enhance small and medium-sized businesses’ ability to manage cash flow. The QuickBooks Capital team is at the forefront of developing innovative lending solutions. The Lending Data Science team is seeking an experienced Data Scientist to lead data science and analytics for partnerships and externalization efforts. In this role, you will analyze internal and lender data to uncover actionable insights and provide strategic recommendations that rapidly scale our partnerships.

Key Responsibilities

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

Required Qualifications

• 6-10 years of experience in data science and analytics.
• Proven ability to form hypotheses and identify 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.

Preferred Qualifications

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