Senior Staff Data Scientist - Engagement & Retention

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

Job summary

Intuit, the Credit Karma Engagement team, is seeking a Sr. Staff Data Scientist in Oakland to lead analytics across activation, habit formation, retention, churn prevention, and reactivation.

You will drive strategy, influence leadership, and advance causal inference approaches while mentoring teammates and shaping the AI-native roadmap with cross-functional partners. The role emphasizes building value-driven features, cross-team collaboration, and rigorous measurement to improve member

Qualifications

• 9+ years of experience driving strategy and impact across initiatives.
• Experience in consumer product engagement, retention, or growth preferred.
• Proven ability to translate business strategy into analytical problems.

Responsibilities

• Set data science strategy across engagement and lifecycle initiatives.
• Influence senior leadership and cross-functional partners up to VP level.
• Advance science with new ML and causal inference methodologies.
• Lead scalable experimentation and apply causal inference where needed.
• Build durable segmentation strategies for targeted experiences.
• Shape analytics/AI roadmap with cross-functional teams.
• Mentor Data Scientists and raise scientific standards.

Skills

Data science leadership

Experiment design

Causal inference

Customer segmentation

A/B/n experiments

Communication

Mentoring

Education

Statistics/Mathematics/OR/CS

Tools

Offline ML models

Causal inference frameworks

Job description

Intuit, the Credit Karma Engagement team, is seeking a Sr. Staff Data Scientist in Oakland to lead analytics across activation, habit formation, retention, churn prevention, and reactivation.

You will drive strategy, influence leadership, and advance causal inference approaches while mentoring teammates and shaping the AI-native roadmap with cross-functional partners. The role emphasizes building value-driven features, cross-team collaboration, and rigorous measurement to improve member