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Senior Data Scientist

Intuit

$149,500 - $215,500
Dec 7, 2025
San Diego, CA, US
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Intuit's Global Business Solutions Group (GBSG) is looking to build tools and services to enhance small and medium-sized businesses' ability to manage cash flow, specifically through the QuickBooks Capital team's development of innovative solutions to empower customers to 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
  • 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.

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

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.
  • Experience addressing growth-related challenges at fintech companies focused on lending, credit cards, or marketplaces serving consumers or SMBs.