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Sr. Staff Data Scientist

Category Data Location Mountain View, California; San Diego, California; San Francisco, California Job ID 19894
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Global Business Solutions Group (GBSG) Product Growth team is dedicated to accelerating business outcomes through a data-driven, product-led approach to growth. We leverage Product-Led Growth strategies, scalable growth loops, and rigorous experimentation to identify and amplify the highest-impact opportunities across the product ecosystem. Our team brings together exceptional talent across disciplines to run rapid experiments, conduct deep analytical investigations, and drive cross-functional alignment that unlocks durable customer and revenue growth.

As a Sr. Staff Data Scientist, you will serve as a senior technical leader and strategic thought partner to product and business executives. You will shape the growth roadmap by framing ambiguous opportunities, defining measurable hypotheses, and leading the design and interpretation of complex experiments. You will elevate the analytical bar across the organization, applying advanced causal inference and statistical methodologies to separate signal from noise and guide high-stakes investment decisions. Your work will directly influence company-level growth strategy, ensuring we scale initiatives that create meaningful customer value and sustained top-line impact.


Responsibilities

Set Technical Vision and Elevate the Analytical Bar

  • Shape and evolve the data science strategy that powers product-led growth and scalable growth loops across the ecosystem.
  • Define best practices for experimentation, causal inference, and advanced analytics to ensure high-quality, decision-grade insights.
  • Apply sophisticated statistical modeling and machine learning techniques to transform complex, ambiguous data into clear strategic direction.

Lead Deep Analytics and Experimentation at Scale

  • Develop a holistic view of the end-to-end customer journey, synthesizing signals across acquisition, activation, engagement, retention, and monetization.
  • Frame high-value hypotheses and design robust experiments that isolate causal impact and inform investment decisions.
  • Partner with cross-functional leaders to prioritize and scale the most impactful growth initiatives.

Drive Cross-Functional Influence and Execution

  • Act as a trusted thought partner to Product, Engineering, Design, Marketing, and Finance, translating analytical insights into strategic product and business actions.
  • Influence roadmap decisions by grounding discussions in data, clear trade-offs, and measurable outcomes.
  • Raise the organization’s analytical maturity by improving instrumentation, data quality, logging standards, and experimentation frameworks.

Serve as a Senior Technical Leader

  • Operate as a subject matter expert in causal inference and experimentation, mentoring other data scientists and setting a high standard for analytical rigor.
  • Lead through influence, fostering a culture of hypothesis-driven decision-making and continuous learning.
  • Tackle ambiguous, high-stakes problems that span multiple teams and require both depth and breadth of expertise.

Operate with Velocity and Impact

  • Rapidly synthesize diverse data sources and business metrics to uncover actionable insights.
  • Balance methodological rigor with pragmatic execution, ensuring that insights are translated quickly into measurable business outcomes.

Qualifications

Experience and Technical Depth

  • 8+ years of experience in data science, applied statistics, or advanced analytics, with a demonstrated track record of driving measurable product and business growth.

  • Deep expertise in causal inference, experimentation, statistical modeling, and machine learning, with the ability to apply appropriate methodologies to complex, ambiguous problems.

  • Proven ability to translate sophisticated analytical findings into clear, decision-ready recommendations that influence strategy and investment.

Technical Proficiency

  • Advanced proficiency in SQL and at least one programming language such as Python or R for large-scale data analysis and modeling.

  • Strong foundation in experimental design, hypothesis testing, and scalable analytics frameworks.

  • Experience with data visualization tools and executive-ready storytelling to communicate insights effectively.

  • Familiarity with data architecture, instrumentation, and pipeline development to ensure high-quality, reliable analytics is preferred.

Leadership and Cross-Functional Influence

  • Demonstrated ability to operate as a senior individual contributor who influences across Product, Engineering, Marketing, and Business leadership.

  • Track record of navigating new domains quickly, identifying the critical metrics that matter, and establishing analytical clarity in ambiguous environments.

  • Exceptional communication skills, with the ability to tailor messaging to technical and non-technical audiences and drive alignment through data.

Mindset and Impact Orientation

  • Strong customer-first orientation with the ability to connect analytical insights to meaningful customer value and business outcomes.

  • Entrepreneurial and agile mindset, balancing long-term strategic thinking with rapid, hypothesis-driven execution.

  • High ownership mentality with a bias toward action and measurable impact.


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 



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