Team Overview

The TurboTax 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 TurboTax'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
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 TurboTax 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 across Marketing, Product, Expert Services, and Operations. Facilitate alignment through data and create a shared understanding of hypotheses, performance drivers, risks, and opportunities.
Growth Portfolio Intelligence

Develop integrated views of the emerging-growth portfolio to help leaders understand where momentum is building, where additional learning is required, and where resources may generate the greatest impact.
Data-Driven Operating Rhythm

Support business reviews, investment decisions, and planning cycles with analytical views that reveal progress, key learnings, customer response, and the drivers of growth.
Thought Leadership and Enablement

Champion best practices in experimentation, measurement, visualization, and decision science. Mentor other data scientists and analysts and contribute to a culture of rigorous, data-informed innovation.

Qualifications
Qualifications

• 5+ years of experience in data science, analytics, business intelligence, or a related field, ideally within consumer technology, financial technology, marketplaces, or SaaS environments.
• Proven track record of shaping strategy and influencing executive decision making through data.
• Experience supporting zero to one products, emerging business models, growth initiatives, or other highly ambiguous problem spaces.
• Strong expertise in experimentation, performance measurement, customer analytics, and causal or decision-oriented analysis.
• Demonstrated ability to define success metrics and learning frameworks for initiatives without established benchmarks.
• Strong business acumen across customer acquisition, engagement, retention, product strategy, and operations.
• Expertise in data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
• Advanced SQL proficiency and experience using Python or R for analysis, modeling, and automation.
• Exceptional storytelling and communication skills, with the ability to craft clear and compelling business narratives from complex or incomplete data.
• Demonstrated ability to lead cross-functional initiatives and deliver impact in ambiguous, fast-moving environments.
• Ability to balance analytical rigor with speed, judgment, and pragmatic decision-making.

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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 ). 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:
Mountain View $194,000 - $262,500