Staff Data Scientist

Intuit (CK Intelligence) is hiring a Staff Data Scientist in San Diego, CA (onsite) to lead measurement strategy and analytical direction for Credit Karma’s AI products. Responsibilities Identify, evaluate, and size AI use cases against business value; apply personalization and automation frameworks to influence what gets built Build and run AI evaluation programs, including golden datasets and LLM-as-judge calibration, to certify non-deterministic experiences Diagnose evaluation gaps and improve where experiences need to get better Develop measurement strategies for AI products when established benchmarks do not yet exist Define leading indicators, learning milestones, success criteria, and quality, latency, and reliability bars before experiences reach members Use causal inference and counterfactual reasoning to determine what actually moved a metric Design and run experiments and holdouts to confirm whether AI delivers incremental value versus simple adoption Own predictive models through their lifecycle Frame the right questions before analysis begins and drive AI product strategy with evidence Generate insights and testable hypotheses that inform roadmaps and resource decisions Define business metrics and causal levers the business manages to Deepen understanding of how members discover, adopt, and return to AI experiences, including which jobs-to-be-done are truly solved Differentiate experiences that create genuine member value from those that merely shift where activity happens Build and maintain the data products CK Intelligence and its agents depend on Prototype the data model, pipeline, and surface; partner with engineering to harden what sticks and govern decision systems between data and member experience Automate analytical bottlenecks into agentic systems stakeholders can run independently Own agent context so it inherits analytical rigor; decide with evidence which work can run without human in the loop Create visualizations, dashboards, and presentations that help leadership understand performance, tradeoffs, and emerging opportunities Bring clarity to complex or incomplete analytical narratives Act as a trusted data science partner to senior leaders across Product, Engineering, Design, and Marketing Facilitate cross-functional alignment using data to build shared understanding of hypotheses, performance drivers, risks, and opportunities Champion best practices in experimentation, AI evaluation, measurement, and decision science Mentor data scientists and analysts; contribute to a culture of rigorous, data-informed innovation Requirements 8+ years of experience in data science, analytics, business intelligence, or a related field, ideally in consumer technology, financial technology, marketplaces, or SaaS Proven record of shaping strategy and influencing executive decisions through data Experience supporting zero to one products, emerging business models, growth initiatives, or similarly ambiguous environments Experience measuring or evaluating AI, machine learning, or personalization products, including evaluation approaches for generative or non-deterministic experiences (e.g., golden datasets, LLM-as-judge, human review, quality and latency monitoring) Strong expertise in experimentation, performance measurement, customer analytics, and causal or decision-oriented analysis 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 Advanced SQL ; experience using Python or R for analysis, modeling, and automation Exceptional storytelling and communication skills for clear business narratives from complex or incomplete data Demonstrated ability to lead cross-functional initiatives and deliver impact in ambiguous, fast-moving settings Ability to balance analytical rigor with speed, judgment, and pragmatic decision-making Technologies Tableau Power BI Looker SQL Python R Golden datasets LLM-as-judge Human review Benefits Competitive compensation package with pay for performance rewards approach This position may be eligible for a cash bonus This position may be eligible for equity rewards and benefits Benefits described in Intuit: Careers | Benefits Company overview Intuit is a global financial technology platform that powers prosperity for the people and communities it serves Approximately 100 million customers worldwide use products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp Intuit believes everyone should have the opportunity to prosper and continues innovating to make that possible Team overview CK Intelligence builds Credit Karma’s AI products Developing AI-native experiences across three pillars: Chat (members ask anything about their finances), Agents (complete multi-step work on a member’s behalf), and Insights (proactively surface what changed and what to do next) This role helps shape the strategy and measurement of Credit Karma’s next generation of AI capabilities Role overview Own measurement strategy and analytical direction for Credit Karma’s AI products across Chat, Agents, and Insights Partner with leaders across Product, Engineering, Design, and Marketing to assess emerging opportunities, shape experimentation strategy, and determine which AI capabilities to refine, scale, or deprioritize Own evaluation to certify these experiences are good enough to ship Combine rigorous analysis with business judgment to clarify ambiguous questions and support confident investment decisions when the model is imperfect Pay Estimated base pay range: San Diego $185,500 - $251,000 per year #J-18808-Ljbffr Intuit