Senior Data Scientist - Consumer Group

Company OverviewIntuit 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 that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.Job OverviewWe are seeking a Senior Data Scientist to help build and lead consumer measurement science for Credit Karma, with a focus on business forecasting, funnel and metric foundations, and consumer insights and segmentation. This role sits at the intersection of analytics and machine learning, and operates as a key driver of business performance.You will build and own CK's business forecasting, its consumer funnel and metric foundation, and its consumer insights and segmentation engine — turning day-to-day member behavior into decisions that revenue and product teams can act on. This is a high-visibility, high-ownership role for someone who wants to stand up a measurement and forecasting discipline from the ground up and see it directly shape strategy.ResponsibilitiesOwn CK's business forecasting and projections across revenue, funnel, and engagement — enabling resource and investment decisions to be made weeks earlier than today's backward-looking reporting allows.Own the consumer funnel and metric foundation for CK: causal metric identification, definition, and governance; holistic business-management reporting; and funnel diagnostics that connect day-to-day customer behavior and operating signals to tangible business outcomes.Build CK's consumer insights and segmentation engine — turning behavioral and engagement data into actionable segments and predictive cohort views that revenue and product teams can activate against, with measurable lift in activation, monetization, multi-product adoption, and retention.Partner with revenue, product, and finance teams to translate analytical findings into strategic recommendations and drive adoption of these capabilities in day-to-day decision-making.Establish the standards and governance for how CK defines, measures, and reports on customer and business health, ensuring a single, trusted source of truth.Qualifications4+ years of experience in data science, analytics, or a related field, with a strong track record of driving business impactExpertise in SQL and Python for data analysis, modeling, and experimentationExperience applying statistical methods and machine learning to real-world problems (e.g., churn/retention modeling, segmentation, forecasting)Proven ability to translate complex analyses into clear, actionable business insightsTrack record of data storytelling and influencing senior stakeholders and shaping business strategyDemonstrated success working cross-functionally with partners such as Strategy, Finance, Product, or MarketingAbility to operate independently and lead through ambiguity in a fast-paced environmentExperience with time series forecasting, cohort analysis, and customer lifecycle modelingExperience leveraging AI tools (e.g., Claude, ChatGPT) to enhance data science workflowsExperience supporting high-stakes, seasonal, or rapidly evolving businesses FooterIntuit 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: San Francisco $162,500 - $220,000