Senior Data Scientist

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 Quick Books 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.

As a Senior Staff Data Scientist on the Product Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our product development and GTM strategies of a brand new product and strategic bet. This role requires a strong background in quantitative analysis, data-driven decision-making, and expertise in working with large data sets.

Conceptualize business problems or opportunities, formulate hypotheses and goals, define 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 leaders

The ideal candidate is a curious, proactive data scientist with experience in building scalable solutions, a strong understanding of customer behavior, and a passion for fintech.

BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field. Equivalent experience will be considered.

10+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation

Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit

Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.

Experience in designing and interpreting complex experiments beyond traditional A/B testing methods

Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency…