Intuit
Staff Data Scientist, Lending Externalization
Intuit, San Diego, California, United States, 92189
Staff Data Scientist, Lending Externalization
6 days ago Be among the first 25 applicants
Overview 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 partnerships and externalization 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 scale our partnerships and externalization 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.
What you\'ll bring
6-10 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 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
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
Technical Skills
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, LTV modeling, or other statistics in situations where A/B testing ability is limited
Background or experience working in analytics engineering or business intelligence roles
Experience addressing growth-related challenges at fintech companies focused on lending or fintech partnerships serving consumers or SMBs
Familiarity with Generative AI and other emerging technologies
How you will lead As a Staff Data Scientist on the Lending Data Science team, you will play a pivotal role in:
Shaping strategy through deep analytical insights, including 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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
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San Diego, CA .
San Diego, CA $101,000.00-$140,000.00
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Overview 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 partnerships and externalization 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 scale our partnerships and externalization 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.
What you\'ll bring
6-10 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 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
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
Technical Skills
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, LTV modeling, or other statistics in situations where A/B testing ability is limited
Background or experience working in analytics engineering or business intelligence roles
Experience addressing growth-related challenges at fintech companies focused on lending or fintech partnerships serving consumers or SMBs
Familiarity with Generative AI and other emerging technologies
How you will lead As a Staff Data Scientist on the Lending Data Science team, you will play a pivotal role in:
Shaping strategy through deep analytical insights, including 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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
Referrals increase your chances of interviewing at Intuit by 2x
Get notified about new Data Scientist jobs in
San Diego, CA .
San Diego, CA $101,000.00-$140,000.00
#J-18808-Ljbffr