Intuit's QuickBooks Capital team is developing innovative solutions to empower small and medium-sized businesses to access suitable loan offerings. The Lending Data Science team is seeking a Data Scientist to lead data science and analytics for partnerships and externalization efforts, a strategic growth initiative focused on connecting SMBs with suitable loans by leveraging Intuit's customer data and partnering with organizations like Amazon.
Requirements
- 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.
- 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
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.
- Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
- Translating complex data into clear, actionable insights for both technical and non-technical stakeholders
- Applying statistical and machine learning techniques to solve go-to-market and product problems
- Building scalable, reusable analytics tools and avoiding redundant efforts
- 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
- Curious, proactive data scientist with a passion for Fintech
