Sr Staff Data Scientist | Consumer Assisted Tax - Full Service DS team
Intuit
- Location
- Multiple Locations
- Level
- Staff
- Salary
- $210.5k – $284.5k/yr
- H-1B history
- 264 approvals (FY2023)
Skills
About this role
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.