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Staff Data Scientist

Intuit

Salary not specified
Oct 24, 2025
Mountain View, CA, US
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Intuit's Global Business Solutions Group (GBSG) Product Data Science team is looking to accelerate decision-making through advanced models, insights, and experimentation to address customer and business challenges within the Workforce Solutions segment of QuickBooks.

Requirements

  • Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design
  • Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights
  • Experience with data integration and pipeline development is a plus
  • Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc.

Responsibilities

  • Develop and deploy machine learning models and statistical frameworks to forecast growth, uncover patterns, and optimize decision-making across the GBSG Platform team
  • Design, run, and analyze A/B tests and quasi-experiments using methodologies such as synthetic control, regression discontinuity, or propensity score matching to establish causal relationships and measure impact.
  • Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place.
  • Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership
  • Translate business problems into analytical frameworks.
  • Provides guidance and support leadership on how best to harness available data in support of critical business needs and goals

Other

  • Serve as the strategic data science partner to leaders across Marketing, Product, and Finance.
  • Communicate complex findings clearly and concisely to drive alignment and action
  • Champion data hygiene and integrity.
  • 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive product and business growth ideally in Saas or financial technology companies serving consumer or SMBs
  • Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights