Senior Data Scientist, Personal Finance

Quick Facts

• Role: Senior Data Scientist (Personal Finance), individual contributor
• Focus: analytics, measurement, experimentation, and ML modeling to drive transaction growth and improve member conversion

Description

Own the analytics and measurement roadmap for the Personal Finance vertical, translating business goals into a prioritized plan. Design, run, and interpret experiments to grow transactions and improve conversion, and build models for ranking, targeting, personalization, and top-of-funnel signal expansion. Partner with Product, Marketing, and AI Science to embed data-driven decisions into member journeys, using Generative AI tools to accelerate analytical work.

Responsibilities

• Own analytics and measurement roadmap for the vertical
• Design, run, and read experiments; validate what works using rigorous measurement
• Build models and analyses for ranking, targeting, personalization, and top-of-funnel expansion
• Perform funnel, conversion, and incrementality analysis; size impact of opportunities
• Partner with Product, Marketing, and AI Science across end-to-end member journeys
• Define success metrics and leading indicators to track vertical performance and initiative outcomes
• Use Generative AI tools (e.g., Claude) to scale analytical workflows
• Communicate insights clearly and convert complex analysis into actionable recommendations
• Collaborate with data science and data engineering to build durable datasets and analytics capabilities

Requirements

• 4+ years of experience in analytics or data science
• Strong hands-on foundation in SQL and data visualization tools (Tableau or Looker)
• Experience applying advanced analytics and machine learning techniques (Python, ML models, experimentation, LLMs) to business problems
• Proven ability to design and interpret experiments and measure incremental impact
• Ability to build analytical frameworks for ambiguous problems and drive decisions
• Strong communication skills; ability to influence partners without formal authority
• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field
• Fintech/financial services experience is a plus

Benefits

• Competitive compensation with pay-for-performance rewards (eligibility for cash bonus and equity)
• Benefits package and other programs as applicable