OVERVIEW

The Customer Success Data Science team’s mission is to deliver delightful customer experiences via digital and expert channels and drive business impact by developing insights, models, and strategic thought partnership to help small and mid-market business customers. We collaborate with Product, Finance, Business Operations, Design, and Engineering teams to drive data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.
As a Staff Data Scientist, you will serve as a strategic thought partner to cross-functional leaders, bringing deep analytical expertise and business acumen to bear on Intuit’s most critical growth questions. You will dive deep into our data to uncover actionable insights and make recommendations that will influence the company’s strategic decisions. This is a unique opportunity to apply your passion for data and causal reasoning to shape the future of financial empowerment for millions of users.

PREFERRED ADDITIONAL QUALIFICATIONS

• Experience solving growth-related problems at financial technology companies serving consumer or SMBs
• Familiarity with Generative AI and other evolving technologies to accelerate insights from multi-modal data
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
• Familiarity with version control software (git), and general software development
• Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc

• Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics and make actionable recommendations
• Drive strategic insights that shape the future of Customer success ecosystem
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform decision making and business growth
• Build and apply durable customer segmentation patterns to refine targeting, positioning, and customer experience
• Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive customer success strategy and growth
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leader