Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Intuit Logo

Staff Data Scientist, Lending Externalization

Intuit

$179,000 - $252,000
Oct 24, 2025
San Diego, CA, US
Apply Now

Intuit's Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses to manage cash flow, and the QuickBooks Capital team is developing innovative solutions to 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
  • Expertise in causal inference, predictive modeling, customer segmentation, and experimentation design.
  • Experience in building scalable, reusable analytics tools and avoiding redundant efforts
  • Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing
  • Familiarity with Generative AI and other emerging technologies

Responsibilities

  • 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
  • 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.
  • 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
  • Building scalable, reusable analytics tools and avoiding redundant efforts

Other

  • 6-10 years of experience in data science and analytics
  • 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
  • Strong pay for performance rewards approach, with a competitive compensation package