Senior Data Scientist, Personal Finance - Growth

Intuit Inc.; United States; On-site; USD 163,000 - 220,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit is seeking an experienced Senior Data Scientist to own analytics and modeling for the Personal Finance portfolio, shaping growth and top-of-funnel signals. You will collaborate with product, marketing, and AI Science to translate data-driven insights into business decisions.

The role emphasizes high ownership, strong technical depth, and the ability to influence partners without formal authority, including experimentation and scalable data workflows.

Qualifications

• Experience applying analytics and ML to business problems.
• Ability to design and interpret experiments and measure incremental impact.
• Bachelor's or Master's degree in a quantitative field.

Responsibilities

• Own analytics and measurement roadmap for the vertical.
• Design, run, and read experiments to grow transactions and conversions.
• Build models and analyses for ranking, targeting, and top-of-funnel signals.
• Conduct funnel, conversion, and incrementality analyses.
• Partner with Product, Marketing, and AI Science to embed data-driven decisions.
• Develop success metrics and leading indicators for initiatives.
• Use Generative AI tools to accelerate workflows and scale impact.
• Communicate insights clearly to partners at all levels.
• Collaborate with data science and data engineering to build durable datasets.

Skills

SQL

Data visualization

Python

Machine learning

Experimentation

LLMs

Communication

Education

Bachelor's or Master's in Statistics/Mathematics/CS/Economics

Tools

Tableau

Looker

Job description

Intuit is seeking an experienced Senior Data Scientist to own analytics and modeling for the Personal Finance portfolio, shaping growth and top-of-funnel signals. You will collaborate with product, marketing, and AI Science to translate data-driven insights into business decisions.

The role emphasizes high ownership, strong technical depth, and the ability to influence partners without formal authority, including experimentation and scalable data workflows.