Senior Data Scientist

Intuit; Milwaukee (WI); On-site; USD 163,000 - 220,000; Full time

Job summary

Intuit is seeking a Senior Data Scientist to join the Business Strategy Data Science Team. You will own end-to-end delivery of metrics, data products, and analyses for the consumer ecosystem spanning TurboTax and Credit Karma, shaping product, marketing, and business models.

You will design trusted data foundations, measure cross-product initiatives, and build AI-native analytics tooling at scale, influencing decisions across finance and leadership.

Qualifications

• Bachelor's degree in statistics, economics, CS or related field; advanced degrees desirable.
• 3+ years applying data science, analytics to business decisions.
• Proficiency in SQL and Python/R with large-scale data platforms and production pipelines.

Responsibilities

• Define, build, and productionize core metrics of the consumer ecosystem for revenue, ARPU, MAU, LTV, retention and cross-product migration.
• Design and ship cross-product data products as trusted sources of truth for analytics.
• Design, implement, and analyze A/B tests for cross-product initiatives and automate reporting.
• Build agentic analytics tooling and self-serve access for stakeholders and data scientists.
• Handle regulated data with privacy and compliance considerations.
• Translate findings for senior leadership across product, finance, and marketing.

Skills

SQL

Python

R

A/B testing

AI tooling

Communication

Statistics

Analytics engineering

Education

Bachelor's degree in a quantitative field

Tools

Spark/Databricks

BigQuery

Data pipelines

Job description

• 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.

Qualifications

• A Bachelor's degree in Statistics, Economics, Computer Science, or a related quantitative field is required. Advanced degrees are desirable.
• At least 3 years of experience applying data science, statistical modeling, and analytics engineering skills to business decision making.
• Expert proficiency in SQL and a programming language such as Python and/or R, including experience with large-scale distributed data platforms (e.g., Spark/Databricks, BigQuery) and production data pipeline and workflow tooling.
• A demonstrated track record of designing, shipping, and maintaining production data products and business metrics adopted by finance and executive stakeholders.
• Experience building with modern AI tooling — agentic workflows, LLM-based analytics tools, or similar — is strongly preferred.
• A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business.
• Excellent communication skills and the ability to work effectively with both technical and non-technical colleagues.

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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 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 $162,500 - $220,000