Staff Data Scientist

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Intuit Customer Success data science team as a Staff Data Scientist to shape the strategy to enable best-in-class customer experiences for QuickBook customers.

The Data Science team plays a critical role in shaping strategy, scaling new businesses, and delivering delightful customer experiences. Our mission is to accelerate decision-making through advanced models, insights, and experimentation that address our most important customer and business challenges.

Responsibilities

• Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations. Drive strategic insights that shape the future of Intuit's core Accounting offering, 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 refine 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.

Qualifications

• 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 helping customers. BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field. 10+ years of experience in data science or product analytics, 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 and increase customer benefit. Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in designing and interpreting complex experimen