Senior Data Scientist

Experteer Overview In this role you drive measurement and data foundations across Intuit’s consumer ecosystem. You own end-to-end metrics, data products, and analyses used by product, finance, and marketing leadership. You design scalable data foundations and AI-native analytics tooling to inform cross-product growth. Your work supports regulated data stewardship with privacy and compliance rigor. You will engage with executives to translate data insights into strategic actions that advance the company’s mission of financial empowerment. Compensation / Benefits * Define and productionize core ecosystem metrics (revenue, ARPU, MAU, LTV, retention, cross-product migration) aligned to company goals * Design and ship cross-product data products as trusted sources of truth for analytics * Plan and analyze cross-product A/B tests with custom outcome metrics * Build AI-native analytics tooling to enable self-serve data access and scalable insights * Ensure data stewardship for regulated tax and cross-company data with privacy and compliance * Communicate complex findings clearly to senior leadership across product, finance, and marketing Tasks * Bachelor in Statistics, Economics, Computer Science or related quantitative field; advanced degrees desirable * At least 3 years applying data science, statistical modeling, and analytics engineering to business decisions * Expert proficiency in SQL and Python and/or R; experience with large-scale distributed platforms (e.g., Spark/Databricks, BigQuery) and production data pipelines * Proven track record of designing and shipping production data products and metrics used by finance and executives * Experience with modern AI tooling (agentic workflows, LLM-based analytics) preferred * Ability to navigate ambiguity and deliver high-impact business results * Excellent communication skills for technical and non-technical audiences Key requirements * competitive compensation * cash bonus potential * equity rewards * benefits package * pay for performance * location-based pay range

• cross-company data with privacy and compliance * Communicate complex findings clearly to senior leadership across product, finance, and marketing Tasks * Bachelor in Statistics, Economics, Computer Science or related quantitative field; advanced degrees desirable * At least 3 years applying data science, statistical modeling, and analytics engineering to business decisions * Expert proficiency in SQL and Python and/or R; experience with large-scale distributed platforms (e.g., Spark/Databricks, BigQuery) and production data pipelines * Proven track record of designing and shipping production data products and metrics used by finance and executives * Experience with modern AI tooling (agentic workflows, LLM-based analytics) preferred * Ability to navigate ambiguity and deliver high-impact business results * Excellent communication skills for technical and non-technical audiences Key requirements * competitive compensation * cash bonus potential * equity rewards * benefits package * a
• for performance * location-based pay range