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Senior Staff Data Scientist, Quickbooks

Intuit

Salary not specified
Dec 7, 2025
Mountain View, CA, US
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Intuit QuickBooks is looking to solve the problem of delivering delightful customer experiences and driving customer impact by developing insights, models, and strategic thought partnerships that assist small and mid-market business customers in managing their finances.

Requirements

  • 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.).
  • Experience with Causal inference techniques such as propensity score matching, difference-in-differences, and synthetic control methods.
  • Familiarity with Generative AI and other evolving technologies to accelerate insights from multi-modal data.
  • 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.

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.

Other

  • BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
  • 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.
  • Ability to work with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth.
  • Travel requirements not specified