Senior Staff Data Scientist (Credit Karma Engagement)

Quick Facts

• Role: Senior Staff Data Scientist for Credit Karma Engagement

Description

Lead the analytics strategy for engagement and lifecycle initiatives end to end, from activation and habit formation to retention, churn prevention, and reactivation. Influence cross-functional leaders and build AI-native roadmaps that connect measurement and model performance to member and business outcomes. Mentor and elevate the team by raising scientific standards and creating reusable frameworks.

Responsibilities

• Set data science strategy across engagement and lifecycle product initiatives
• Drive experimentation at scale using A/B/n, painted-door, bandits, and quasi-experimental designs
• Apply causal inference (Propensity Score, DiD, Synthetic Control) when experimentation is constrained
• Develop durable segmentation strategies from patterns across experiments and analyses
• Co-create analytics/AI strategy with cross-functional teams, including measurement, safety, risk, and ethical considerations
• Translate ambiguous business strategy into analytical problems and frameworks
• Mentor Data Scientists and raise the bar on scientific best practices

Requirements

• 9+ years of experience in data science and analytics, with a track record of driving strategy and impact across initiatives or business units
• Deep expertise in causal inference, customer segmentation, and experimentation design
• Proven success designing and interpreting complex experiments beyond traditional A/B testing, plus causal inference when experimentation is constrained
• First-principles thinking to translate ambiguous business strategy into analytical problems
• Ability to build offline classification and regression models to inform business decisions
• Experience creating reusable frameworks/methodologies/toolkits adopted by broader teams
• Exceptional communication and ability to influence Director- and VP-level stakeholders
• Ability to navigate ambiguity and make fast data-driven decisions
• BS or MS in a relevant quantitative field (advanced degree preferred)
• Preferred: consumer engagement/retention/growth experience; fintech experience is a plus

Benefits

• Competitive compensation with pay-for-performance rewards
• Cash bonus eligibility, equity rewards, and benefits per applicable plans