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 their partnerships and externalization efforts, a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans by partnering with organizations like Amazon.
Requirements
- Strong expertise in causal inference, predictive modeling, customer segmentation, and experimentation design.
- 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
- Expertise in causal inference, LTV modeling, or other statistics in situations where A/B testing ability is limited
- Familiarity with Generative AI and other emerging technologies
- Proven ability to form hypotheses and find business opportunities based on customer behavior, industry trends, and market conditions
Responsibilities
- 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.
- Translating complex data into clear, actionable insights for both technical and non-technical stakeholders
- 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
- Experience in building scalable, reusable analytics tools and avoiding redundant efforts
- Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing
Other
- 6-10 years of experience in data science and analytics
- 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
- Background or experience working in analytics engineering or business intelligence roles
