Intuit's QuickBooks Capital team is developing innovative solutions to empower small and medium-sized businesses 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 the Lending Product, a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans by leveraging Intuit’s rich customer data to deliver personalized loan offers and streamline the application experience.
Requirements
- 4-8 years of experience in data science and analytics in the fintech sector, ideally in lending, credit cards, or marketplaces.
- Proven ability to form hypotheses and find business opportunities based on customer behavior, industry trends, and market conditions.
- Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing.
- Strong expertise in predictive modeling, customer segmentation, and experimentation design.
- Experience in building scalable, reusable analytics tools and avoiding redundant efforts.
- Advanced SQL proficiency and hands-on experience with visualization tools such as Tableau
- Strong analytical and modeling skills using Python or R
Responsibilities
- Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
- Developing predictive models, conducting experiments beyond A/B testing, and uncovering customer insights to drive product, marketing, and lending innovations.
- Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience.
- Translating complex data into clear, actionable insights for both technical and non-technical stakeholders
- 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
Other
- We’re looking for a curious, proactive data scientist with a passion for fintech.
- 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.
- Collaborating closely with cross-functional partners in Product Management, Marketing, Engineering, and Design to inform and guide product strategy.
