> Markdown version of [/jobs/ext/1172426-sr-staff-data-scientist-lending](https://www.wearedevelopers.com/jobs/ext/1172426-sr-staff-data-scientist-lending). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Staff Data Scientist, Lending - **Company:** Intuit Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, QuickBooks (Software), Information Technology, Marketplace - **Published:** July 3, 2026 - **Apply:** https://dejobs.org/x/x/1A207FEC875F4CBEBC00B5C2F7DA586C/job/ ## About the Role We're looking for a curious, proactive, and influential data science leader with a passion for fintech. * 9+ years of experience in data science and analytics, with a track record of driving strategy and impact across multiple initiatives or business units; fintech experience (lending, credit cards, or marketplaces) strongly preferred. * Demonstrated ability to apply first-principles thinking to translate ambiguous business strategy into analytical problems at the business-unit level. * Proven success designing and interpreting complex experiments well beyond traditional A/B testing , and applying causal inference where experimentation is constrained. * Deep expertise in predictive/prescriptive modeling, causal inference, customer segmentation, and experimentation design , with the judgment to balance statistical rigor and business considerations. * Experience creating reusable frameworks, methodologies, and toolkits that are adopted by a broader analytics community. * Exceptional communication and stakeholder-influence skills, with a demonstrated ability to influence Director- and VP-level leaders across business and technical teams. * Ability to navigate ambiguity with minimal guidance, make fast data-driven decisions (one-way vs. two-way door), and operate effectively in a fast-paced, dynamic environment. * BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field (advanced degree preferred). ## Description 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., * 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 industry-wide learnings to influence cross-functional leaders up to the VP level; act as the connective tissue across Product, Marketing, Engineering, and Design. * Advance the science: Identify new ML and causal inference methodologies and external trends, adapt them to lending use cases, and create shareable frameworks that enable adoption across the BU - with clarity on when and how each methodology should be used to drive business value. * Lead experimentation at scale: Drive an iterative experimentation culture across the team - designing complex experiments (A/B/n, painted-door, bandits, geo/holdout, and quasi-experimental designs) and applying causal inference (Propensity Score, DiD, Synthetic Control, with growing depth in Doubly Robust Estimation and Instrumental Variables) where A/B testing is limited. * Build durable segmentation & customer understanding: Identify key patterns in customer behavior by connecting insights across a portfolio of experiments and analyses; create durable customer segmentation strategies that enhance targeting, positioning, and the application experience. * Shape the AI-native roadmap: Co-create the analytics/AI strategy for lending in partnership with cross-functional teams; guide phased testing and rollout with the right measurement, safety, risk, and ethical considerations; connect model performance metrics to customer and business outcomes. * Drive build/buy and tooling decisions: Identify the biggest pain points in analytics workflows and serve as a thought partner on build/buy decisions; champion reusable, scalable analytics tools that eliminate redundant effort across the team. * Raise the bar & develop talent: Mentor and elevate Data Scientists across the team, set scientific standards and best practices, contribute to calibrations and hiring, and scale yourself through delegation while remaining hands-on in the highest-leverage areas. ## Related Videos - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Times of (climate) crisis - How and why sustainable software is a must!](https://www.wearedevelopers.com/videos/988-times-of-climate-crisis-how-and-why-sustainable-software-is-a-must) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Would You Buy Your Own HR? 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