Sr Staff Data Scientist, Customer Success

Intuit is seeking a Senior Staff Data Scientist to join their Customer Success Data Science & Analytics team. This role involves tackling high-impact problems and driving data-informed decision-making to enhance customer experiences and business growth.

Responsibilities:

• Serve as a strategic analytics partner to Customer Success, Product, and Operations leaders, helping frame problems, define success metrics, and guide data-informed decision-making
• Tackle ambiguous business questions by formulating hypotheses, designing analytical approaches, and synthesizing insights that inform strategy and execution
• Design, execute, and interpret advanced experiments and causal analyses beyond traditional A/B testing (e.g., quasi-experiments, difference-in-differences, matching, synthetic control)
• Develop and evolve scalable measurement frameworks for key Customer Success outcomes such as engagement, retention, customer health, satisfaction, and support effectiveness
• Build predictive models and segmentation frameworks that improve targeting, prioritization, and personalization across customer success motions
• Translate complex analyses into clear, actionable narratives for both technical and non-technical audiences, including senior leadership
• Partner closely with Data Engineering and platform teams to ensure data quality, metric consistency, and reusable analytics assets, especially in the context of evolving data architectures
• Evaluate and help measure the impact of AI- and ML-driven customer experiences, including human-assisted and digital channels
• Champion analytics rigor, experimentation best practices, and reusable solutions that scale impact beyond individual projects
• Mentor and influence other data scientists by raising the bar on analytical quality, technical depth, and business impact
• Role-model Intuit’s Win Together mindset through deep cross-functional collaboration and boundaryless problem-solving