Intuit

Sr. Staff Data Scientist, Lending

Intuit
US San Francisco, CA, US
Onsite 2026-07-03
Estimated salary · San Francisco
~ $149,100 - $254,700
Low
$113K
Median
$149K
High
$196K
Market in San Francisco · BLS OEWS 2025
Estimated net pay
$8,637 - $13,909
/month · 30% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

**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 a **Sr. Staff Data Scientist** to serve as the analytical leader and strategic thought partner across our lending portfolio — spanning the **Lending Marketplace** (connecting small and medium businesses with the most suitable loans) and our **partnerships \& externalization** efforts (e.g., partnering with organizations like Amazon to deliver personalized loan offers at scale). This is a high\-impact, cross\-initiative role where you will set the analytics vision, raise the scientific bar across the team, and influence product, marketing, and lending strategy at the Business Unit level. As a **Sr. Staff Data Scientist,** you operate as a technical leader and domain expert **across multiple teams and initiatives**. You apply first\-principles thinking to turn business strategy into analytical problems, build reusable frameworks and methodologies that the broader analytics community adopts, and influence senior cross\-functional leaders (Directors and VPs) with insights grounded in deep customer understanding, business acumen, and industry\-wide context. **Responsibilities** * **Set strategy across initiatives:** Turn QuickBooks Capital's business strategy into analytical problems across multiple initiatives (Marketplace and partnerships/externalization), iteratively self\-generating and validating hypotheses to create actionable insights and recommendations that inform decision\-making at the Business Unit level. * **Influence senior leadership:** Combine insights, business acumen, strategic considerations, and indu

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