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Data Scientist

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Intuit, Inc.
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 194000 - 262500 USD Yearly USD 194000.00 262500.00 YEAR
Job Description & How to Apply Below
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 Turbo Tax, Credit Karma, Quick Books, and Mailchimp, we believe everyone should have the opportunity to prosper. We never stop innovating to make that possible.

Team Overview

The Turbo Tax team is evolving how we understand, build, and scale new sources of growth. We are developing deeper visibility into emerging customer needs, acquisition opportunities, engagement models, and cross product experiences.

As part of this transformation, we are looking for a Staff Data Scientist to help shape the strategy and measurement of Turbo Tax’s next generation of growth capabilities.

This role is ideal for someone who thrives in zero-to-one environments at the intersection of data, experimentation, storytelling, and business leadership. You will help teams evaluate nascent opportunities, identify the strongest signals of customer and business value, and translate early learnings into clear strategic direction.

Role Overview

As a Staff Data Scientist in Emerging Growth Strategy & Intelligence, you will lead the development of analytical frameworks and insights for new acquisition, engagement, and customer-growth initiatives.

You will partner with leaders across Product, Marketing, Expert Services, and Operations to assess emerging opportunities, shape experimentation strategies, and determine which new capabilities should be refined, scaled, or deprioritized.

The portfolio may include new customer acquisition models, year-round engagement experiences, appointment and consultation offerings, retention initiatives, and cross-product opportunities. Because many of these capabilities are newly established, you will help define how success is measured rather than applying existing performance frameworks.

You will combine rigorous analysis with strong business judgment to bring clarity to ambiguous questions, create compelling performance narratives, and help leadership make confident investment decisions.

Responsibilities

Emerging Growth Strategy

Partner with business and functional leaders to identify, evaluate, and prioritize new acquisition, engagement, and customer-growth opportunities. Translate customer behavior, market signals, and business performance into strategic recommendations.

Zero-to-One Measurement

Develop measurement strategies for nascent products, programs, and business models where established benchmarks and metrics may not yet exist. Define leading indicators, learning milestones, success criteria, and pathways to scale.

Experimentation and Learning Agendas

Shape analytical and experimentation roadmaps for emerging initiatives. Help teams move from broad hypotheses to measurable tests, interpret results in context, and determine the next best action.

Customer Lifecycle Intelligence

Build a deeper understanding of how customers engage with Turbo Tax before, during, and after tax season. Identify opportunities to strengthen acquisition, early commitment, year-round engagement, retention, and long-term customer value.

Executive-Facing Visualization and Storytelling

Develop compelling visualizations, dashboards, and presentations that enable leadership to quickly understand performance, tradeoffs, and emerging opportunities. Bring simplicity and clarity to complex or incomplete analytical narratives.

Scalable Performance Frameworks

Create analytical frameworks that connect early customer signals to longer-term business outcomes. Establish consistent metrics, definitions, and decision criteria as new initiatives mature.

Cross-Functional Influence

Serve as a trusted data science partner to senior leaders…

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