Intuit
Staff Data Scientist, Lending Externalization
Join to apply for the
Staff Data Scientist, Lending Externalization
role at
Intuit 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 leads data science and analytics for partnerships and externalization efforts focused on connecting small and medium businesses with suitable loans, including potential partnerships with organizations like Amazon. Responsibilities
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 and 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. Qualifications
6-10 years of experience in data science and analytics Proven ability to form hypotheses and identify business opportunities based on customer behavior, industry trends, and market conditions Experience 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 Familiarity withGenerative AI and other emerging technologies Experience addressing growth-related challenges at fintech companies focused on lending or fintech partnerships serving consumers or SMBs 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 applicable plans and programs. The expected base pay range for this position is: Bay Area, California: $186,500 - $252,000 Southern California: $179,000 - $242,000
#J-18808-Ljbffr
Join to apply for the
Staff Data Scientist, Lending Externalization
role at
Intuit 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 leads data science and analytics for partnerships and externalization efforts focused on connecting small and medium businesses with suitable loans, including potential partnerships with organizations like Amazon. Responsibilities
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 and 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. Qualifications
6-10 years of experience in data science and analytics Proven ability to form hypotheses and identify business opportunities based on customer behavior, industry trends, and market conditions Experience 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 Familiarity withGenerative AI and other emerging technologies Experience addressing growth-related challenges at fintech companies focused on lending or fintech partnerships serving consumers or SMBs 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 applicable plans and programs. The expected base pay range for this position is: Bay Area, California: $186,500 - $252,000 Southern California: $179,000 - $242,000
#J-18808-Ljbffr