Senior Data Scientist, Engagement & Retention Strategy

Intuit Inc.; Oakland (CA); On-site; USD 211,000 - 285,000; Full time

Job summary

Intuit Inc. is seeking a Sr. Staff Data Scientist for the Credit Karma Engagement team to define analytics strategy and influence product lifecycle decisions.

You will lead cross-functional collaborations across Product, Marketing, Engineering and Design, advancing ML and causal inference methods to drive member retention and value. You will oversee scalable experimentation, create durable segmentation, and mentor junior scientists while shaping an AI-native roadmap with strong emphasis on

Qualifications

• 9+ years of data science and analytics driving strategy and impact across initiatives or business units.
• Experience in consumer product engagement, retention, or growth; fintech experience is a plus.
• Personalization and cross-product engagement drive long-term retention.
• Ability to translate business strategy into analytical problems using first-principles thinking.
• Proven success designing and interpreting complex experiments beyond basic A/B tests; causal inference applications.
• Deep expertise in causal inference, segmentation, and experimentation design.
• Experience creating reusable analytics frameworks and toolkits adopted by analytics teams.
• Exceptional communication and stakeholder-influence skills across Director- and VP-level leaders.
• Ability to navigate ambiguity and make fast data-driven decisions in a fast-paced environment.
• Experience using AI-native tools to plan, implement analyses and synthesize results.

Responsibilities

• Set data science strategy across engagement and lifecycle initiatives to assess the member lifecycle from activation to reactivation.
• Influence senior leadership and cross-functional teams up to VP level across Product, Marketing, Engineering, and Design.
• Advance methodologies in ML and causal inference and create reusable frameworks for adoption across the BU.
• Lead scalable experimentation including A/B/n, painted-door, bandits, and quasi-experiments with causal inference.
• Build durable segmentation strategies to enhance targeting and in-product experiences.
• Shape analytics/AI roadmap for engagement and lifecycle with cross-functional partners and safe deployment practices.
• Mentor Data Scientists, set standards, participate in hiring, and scale leadership while staying hands-on.

Skills

Causal inference

Experiment design

Segmentation

Machine learning (offline)

Communication

Leadership / mentorship

Stakeholder management

Education

BS or MS in Statistics/Mathematics/OR/CS

Job description

Intuit Inc. is seeking a Sr. Staff Data Scientist for the Credit Karma Engagement team to define analytics strategy and influence product lifecycle decisions.

You will lead cross-functional collaborations across Product, Marketing, Engineering and Design, advancing ML and causal inference methods to drive member retention and value. You will oversee scalable experimentation, create durable segmentation, and mentor junior scientists while shaping an AI-native roadmap with strong emphasis on