OVERVIEW

Intuit’s Global Business Solutions Group (GBSG) is dedicated to creating tools and services that dramatically increases the ability of small-medium businesses (SMBs) to manage cash flow. At the center of this mission, the QuickBooks Money team is developing innovative tools to help customers get paid faster and with confidence. Our expanding suite of offerings and new go-to-market strategies aim to further enhance SMBs’ ability to accept payments seamlessly.
The Money Data Science team on the GBSG Data & Analytics organization’s mission is to deliver delightful customer experiences and drive business impact by developing insights, models, and strategic thought partnership that helps small and mid-market business customers on managing their money. We partner with Product Management, Commercial, Finance, Business Operations, Design and Engineering teams to foster data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.
As the founding Senior Staff Data Scientist working on an accelerating growth for a strategic priority within the company, you will dive deep into our data to uncover actionable insights and make recommendations that will fuel growth of this new product. The ideal candidate will have a strong background in quantitative analysis using large data sets, demonstrated growth hacking experience on mature and high growth products, and in driving influence and alignment with data.

• Conceptualize business problems or opportunities, formulate hypotheses and goals, dene key metrics and make actionable recommendations
• Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
• Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience
• Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leader