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Staff Data Scientist

Intuit

$179,000 - $252,000
Dec 18, 2025
Mountain View, CA, US
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Intuit is seeking to transform how customers interact with financial services by harnessing the power of generative AI, and this role is critical in ensuring that Intuit's AI Agents are intelligent, trustworthy, and impactful for millions of customers worldwide

Requirements

  • Highly proficient in A/B testing, SQL, Python and Tableau
  • Working knowledge in Amplitude or Qliksense is a plus
  • Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions
  • Ability to narrate complex stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholders
  • Proactive and inquisitive learner, seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
  • Strong organizational skills, time management, portfolio prioritization experience, and accountability required
  • 5-7 years of experience working in product analytics

Responsibilities

  • Partner with product management, product development, research and design teams to define the data science roadmap for Intuit AI Agents, ensuring alignment with Intuit’s overall AI strategy
  • Translate business problems and requirements into analytical approaches and develop measurement framework to help team assess performance of a 0 to 1 product
  • Define, track, and evolve success metrics for AI Agent performance, customer adoption, and engagement
  • Lead deep-dive analyses of product usage, customer behavior, and AI agent interactions to uncover opportunities for improvement
  • Design, implement, and analyze A/B tests and experiments to measure feature effectiveness
  • Develop dashboards and self-service tools to democratize data access and empower teams
  • Partner with data engineering to ensure reliable pipelines and robust data governance for AI agent data

Other

  • Ability to manage multiple projects simultaneously to meet objectives and deadlines
  • Strong organizational skills, time management, portfolio prioritization experience, and accountability required
  • Mentor analysts across the org, fostering best practices in analytics and storytelling
  • Influence product roadmaps and strategy by presenting data-driven recommendations to leadership
  • Ability to narrate complex stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholders