Data Scientist, CRM & Lifecycle Marketing

About This Role

This Staff Data Scientist role is within the Turbo Tax CRM and Lifecycle Marketing data science team, focusing on how Intuit engages customers across owned channels to drive retention, product engagement, and long-term customer value. The mission is to accelerate decision-making through advanced models, causal measurement, and experimentation. This position is pivotal in shifting CRM from campaign-level optimization to customer journey design, defining metrics, designing learning plans, and building measurement and data products for the lifecycle marketing organization. You will operate as a senior individual contributor, partnering closely with Marketing, Product, Engineering, and Tax leadership to identify, validate, and refine strategies that move customers through behavioral milestones and compound into retention and lifetime value.

Responsibilities

• Drive Lifecycle Marketing Strategy through Data: Frame questions self-directed, translate ambiguous marketing and product problems into analytical frameworks, metric trees, and testable hypotheses that alter the CRM roadmap and resource decisions
• Partner with Tax leadership and the Lifecycle Marketing team to define north-star metrics, align on learning plans, and establish what success looks like at each stage of the customer journey
• Apply causal inference and counterfactual reasoning to isolate what actually moved a metric and change the business-area decision it feeds
• Design and run experiments, quasi-experiments, holdouts, and synthetic tests when a clean A/B is not available
• Serve as the strategic data science partner to leaders across Marketing, Product, Data Engineering, Finance, and adjacent growth teams
• Translate complex analytical findings into clear recommendations for Director- and VP-level stakeholders, and drive the work through to the decision
• Conduct deep-dive analyses on customer journeys, audience segments, funnel and cohort performance, and lifetime value to inform where CRM has the most leverage
• Design segmentation and personalization strategies that improve targeting, reduce wasted volume, and free messaging capacity for high-value journeys
• Create dashboards, visualizations, and self-serve tools, including GenAI-powered applications, so marketing and leadership can act quickly
• Identify, size, and prioritize AI use cases for CRM against business value
• Apply evaluation frameworks so non-deterministic experiences can be certified rather than shipped on vibes
• Build and maintain the data products

Requirements

• Thrives at the intersection of lifecycle marketing, causal inference, and AI-native analytics
• Frames the right question before any analysis runs, with a command of the domain that others check their own framing against

About the Company