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Staff Data Scientist, Lending

Credit Karma · Multiple Locations
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1d ago
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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. At the heart of this mission, the QuickBooks Capital team is developing innovative solutions that empower customers 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 our new product and portfolio optimization efforts — a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans. By leveraging Intuit's rich customer data, this platform aims to partner with other organizations like Amazon to deliver personalized loan offers

 

In this role, you'll analyze both internal and lender data to uncover actionable insights, provide strategic recommendations, and help launch new products and  scale personalization efforts rapidly. The ideal candidate will have a solid foundation in quantitative analysis, experience working with large datasets, and a strong background in data-driven decision-making. Prior experience with partnerships-focused analytics or data science is a plus.


Responsibilities

As a Staff Data Scientist on the Lending Data Science team, you will play a pivotal role in shaping strategy through deep analytical insights. This includes:

 

  • Shape the initiative strategy: Conceptualize business opportunities, formulate hypotheses, define goals and key metrics, and deliver actionable recommendations.

  • Drive growth: Drive strategic insights to shape growth for QuickBooks Capital and positively impact millions of small and medium-sized businesses.

  • Model and experiment: Develop predictive models, causal inference studies, and A/B tests to uncover customer insights that drive product, marketing, and lending innovations.

  • Build durable segmentation: Create customer segmentation strategies that enhance targeting, positioning, and the application/user experience in driving overall lending portfolio business outcomes.  

  • Partner cross-functionally: Collaborate closely with Product Management, Marketing, Engineering, and Design to inform and guide product strategy.

  • Communicate with clarity: Translate complex data into clear, actionable insights for both technical and non-technical stakeholders.

  • Build reusable tooling: Create scalable, reusable analytics assets (metrics, pipelines, dashboards, models, frameworks) that eliminate redundant effort across the team.

  • Raise the bar: Set analytical best practices within the initiative and mentor less experienced Data Scientists on methodology and stakeholder communication.


Qualifications

We're looking for a curious, proactive data scientist with a passion for fintech.

  • 6+ years of experience in data science and analytics.

  • Proven ability to form hypotheses and find business opportunities based on customer behavior, industry trends, and market conditions.

  • Experience building scalable, reusable analytics tools and avoiding redundant effort.

  • Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing.

  • Strong expertise in causal inference, predictive modeling, customer segmentation, and experimentation design.

  • Excellent communication and stakeholder-influence skills across business and technical teams (Manager/Director level).

  • 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


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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 

The expected base pay range for this position is:
San Francisco $194,000 - $262,500
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