Sr Staff Data Scientist | Consumer Assisted Tax - Full Service DS team
Intuit· Fintech· Aug 27, 2026 · 2mo agoPosted 61 days ago
Mountain View, California, United States
In office
Full-time
Staff
$180K–$250K est.
5+ years exp
Before you apply
Ghost Signal:
Open 61 days.
Job description
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 everyone should have the opportunity to prosper. We never stop innovating to make that possible.
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 Sr 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 Sr. Staff Data Scientist on the Consumer Assisted Tax – Full Service team, you will lead the development of analytical frameworks and insights across the end-to-end customer journey, spanning both product and expert platform experiences that drive engagement and customer growth.
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 agentic customer and expert product experiences, expert behaviors that drive customer conversion, net-new 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 rely on existing performance frameworks.
You will combine rigorous analysis with strong business judgment to bring clarity to ambiguous questions, create compelling performance narratives, connect dots across customer and expert and ops experiences and help leadership make confident investment decisions.
Responsibilities
Emerging Growth Strategy
Partner with business and functional leaders to identify, evaluate, and prioritize new customer and expert platform 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. Connect the dots across acquisition, early commitment, product behaviors, and operations to drive conversion, 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
• 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 managing data science teams is a plus
• 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.
• Expertise in using AI tools & IDEs - Cursor/Claude, Evals via Langfuse/Langsmith
• 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.
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:
Mountain View $210,500 - $284,500
Application prep
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