Sr Staff Data Scientist | Consumer Assisted Tax - Full Service DS team

Intuit; San Diego (CA); On-site; USD 211,000 - 285,000; Full time

Benefits offered by this job

Bonus potential

Equity rewards

Benefits

Job summary

Intuit is seeking a Sr Staff Data Scientist for the Consumer Assisted Tax – Full Service team. You will lead analytical frameworks across the end-to-end customer journey spanning product and expert platforms to drive engagement and growth.

You will partner with leaders across Marketing, Product, Expert Services, and Operations to shape experimentation strategies, assess nascent opportunities, and determine which capabilities to refine, scale, or deprioritize.

Qualifications

• 5+ years in data science, analytics, or related field in consumer tech/fintech/SaaS.
• Proven track record shaping strategy and influencing executive decisions.
• Experience leading data science teams is a plus.
• Experience supporting zero-to-one products or emerging business models.
• Strong expertise in experimentation, performance measurement, and causal/decision analysis.
• Ability to define success metrics and learning frameworks without established benchmarks.
• Business acumen across acquisition, engagement, retention, product strategy, and operations.
• Proficiency with data visualization tools (Tableau/Power BI/Looker) and AI tools.
• Advanced SQL; Python or R for analysis and automation.
• Exceptional storytelling and communication skills.
• Ability to lead cross-functional initiatives in fast-moving environments.

Responsibilities

• Emerging Growth Strategy: identify and prioritize new opportunities; translate signals into strategic recommendations.
• Zero-to-One Measurement: define metrics for nascent products and pathways to scale.
• Experimentation and Learning Agendas: shape roadmaps for tests and interpret results.
• Customer Lifecycle Intelligence: understand acquisition to retention across journeys.
• Executive-Facing Visualization and Storytelling: create dashboards and narratives for leadership.
• Scalable Performance Frameworks: establish metrics and definitions for new initiatives.
• Cross-Functional Influence: partner with senior leaders across Marketing, Product, Expert Services, Ops.
• Growth Portfolio Intelligence: provide integrated views of emerging growth momentum.
• Data-Driven Operating Rhythm: support reviews and planning with analytical views.
• Thought Leadership and Enablement: mentor others and promote data-informed culture.

Skills

Experimentation

Measurement

Data storytelling

Cross-functional leadership

SQL

Python/R

Data visualization

Executive influence

Tools

Tableau

Power BI

Looker

Langfuse/Langsmith

Cursor/Claude

Job description

Overview

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