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Senior Staff Data Scientist

Intuit

$197,500 - $276,500
Jan 2, 2026
San Diego, CA, US
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Intuit's Global Business Solutions Group (GBSG) is dedicated to creating tools and services that dramatically increase the ability of small-medium businesses (SMBs) to manage cash flow, with a focus on developing innovative tools to help customers get paid faster and with confidence.

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.)
  • Familiarity with Linux/OS X command line, 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
  • 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

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 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

Other

  • BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field. Equivalent experience will be considered.
  • 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 generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.
  • Experience solving growth-related problems at financial technology companies serving consumer or SMBs