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Senior Data Scientist

Intuit

Salary not specified
Jul 5, 2025
Mountain View, CA, US
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Drive data-driven strategies to optimize sales technology and processes for both Mid-Market and SMB sales teams, enhance seller capabilities, improve effectiveness and efficiency, and elevate customer satisfaction.

Requirements

  • 4+ years of experience working with product analytics, web analytics, customer care analytics, or other customer experience analytics
  • Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash).
  • Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations
  • Deep expertise in experimentation design (A/B/n, bandits, painted-door) and causal inference (Propensity Score, DiD, Synthetic Control) with a strategic understanding of their application
  • Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior
  • Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership

Responsibilities

  • Define KPIs and Success Metrics: Establish key business indicators for projects, ensuring alignment with company objectives and clear measures of success.
  • Provide actionable recommendations using diverse data sets and business knowledge, even when complete data is unavailable, to support strategic decisions.
  • Translate complex data into clear, accessible visualizations that help stakeholders understand key insights and make informed decisions.
  • Design, execute, and analyze A/B tests and other experiments using a hypothesis-driven approach. Provide insights and recommendations based on test outcomes to optimize business strategies.
  • Develop predictive models and methodologies to uncover growth opportunities and support long-term business planning.
  • Define and implement standardized metrics, reports, and dashboards. Work with Data Engineering to ensure data quality and enhance real-time analytic capabilities.
  • Collaborate with AI teams to integrate AI/GenAI solutions into business processes, enhancing efficiency and innovation.

Other

  • Partner with cross-functional teams, delivering insights to enhance seller capabilities, improve effectiveness and efficiency, and elevate customer satisfaction.
  • If you’re passionate about shaping the future of sales technology through data, we’d love to hear from you!
  • Qlik certification is a big plus
  • Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas
  • Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
  • Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
  • Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred
  • Partner with product, digital and customer support teams to identify opportunities, create data-driven strategies, and influence decision-making.
  • Demonstrates boundaryless leadership and extreme accountability - proactively drives outcomes across teams and leads with influence, not authority.
  • Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes.