Intuit QuickBooks is looking to solve the business problem of automating bookkeeping and suggesting transaction categorization for small and mid-market businesses using cutting-edge GenAI and Agentic solutions. The goal is to launch new cutting-edge solutions next year to deliver delightful customer experiences and drive customer impact by developing insights, models, and strategic thought partnerships that assist small and mid-market business customers in managing their finances.
Requirements
- 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 experiments beyond traditional A/B testing methods.
- Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work.
- Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash.
- Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like NumPy, Pandas, Scikit-learn, etc.).
Responsibilities
- Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations.
- 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.
- Translate complex data insights into actionable recommendations for technical and non-technical stakeholders and business leaders.
- Drive strategic insights that shape the future of Intuit's core Accounting offering, impacting millions of small businesses.
- Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth.
Other
- Outstanding communication skills with the ability to influence decision-makers and build consensus with teams.
- Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment.
- BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
- 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 accouting.
