Intuit's Global Business Solutions Group (GBSG) is looking to enhance the ability of small and medium-sized businesses to manage cash flow by developing innovative solutions that empower customers to confidently access the right loan offerings with greater ease.
Requirements
- 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
- Experience in building scalable, reusable analytics tools and avoiding redundant efforts.
- Strong expertise in predictive modeling, customer segmentation, and experimentation design.
- Experience addressing growth-related challenges at fintech companies focused on lending, credit cards, or marketplaces serving consumers or SMBs.
- Understanding of lending product nuances.
Responsibilities
- Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
- Driving strategic insights to shape the future of Intuit’s Lending Marketplace and positively impact millions of small and medium sized businesses
- 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.
- 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
- Analyzing both internal and lender data to uncover actionable insights, provide strategic recommendations, and help scale the marketplace rapidly.
Other
- 4-8 years of experience in data science and analytics in the fintech sector, ideally in lending, credit cards, or marketplaces.
- BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field.
- Excellent communication and stakeholder influence skills across business and technical teams.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- We’re looking for a curious, proactive data scientist with a passion for fintech.
