Senior Data Scientist

• We are seeking a Senior Data Scientist to join our Business Strategy Data Science Team. This role is focused on growth across Intuit's consumer ecosystem of TurboTax and Credit Karma, with an emphasis on the data foundations and measurement that power our cross-product business model. This is a high-impact role where your work will directly influence product, marketing, and business model strategies.

• As a Senior Data Scientist, you will own end-to-end delivery of the metrics, data products, and analyses that leaders across product, finance, and marketing rely on to understand and grow the ecosystem. You will design and productionize trusted cross-product data foundations, measure the incremental impact of ecosystem initiatives, and build AI-native analytics tooling that scales your insights across the organization. This is a unique opportunity to apply your passion for data and rigorous measurement to shape the future of financial empowerment for millions of users.

Responsibilities

• Ecosystem Measurement: Define, build, and productionize the core metrics of the consumer ecosystem (revenue, ARPC/ARPU, monthly active users, LTV, retention, and cross-product migration), ensuring alignment with company objectives and powering executive and corporate finance reporting.

• Data Foundations: Design and ship certified, production-grade data products — including cross-product customer identity resolution — that serve as the endorsed source of truth for ecosystem analytics across data science, finance, and product teams.

• Experimentation: Design, implement, and analyze A/B tests of cross-product initiatives, including custom cross-product outcome metrics and automated experiment reporting.

• AI-Native Analytics: Build and maintain agentic analytics tooling (skills, plugins, and self-serve data access) that enables stakeholders and fellow data scientists to reliably answer ecosystem questions, and drive its adoption across the organization.

• Data Stewardship: Handle regulated tax and cross-company data with rigor, ensuring data products and analyses respect privacy, consent, and compliance boundaries.

• Communication: Translate complex technical findings into clear, actionable insights for senior leadership, including product, finance, and marketing executives.