We are seeking an experienced Senior Data Scientist to be a core individual contributor within the Personal Finance portfolio, one of the fastest-growing areas of the business. You will own analysis, measurement, and modeling that shape how we grow transactions, improve the member shopping experience, and expand top-of-funnel signals across a Personal Finance vertical.

This is a high-ownership individual contributor role. You will work directly with vertical, product, and marketing leaders to frame problems, run experiments, and translate findings into decisions. The ideal candidate combines strong technical depth with business judgment and the ability to influence partners without formal authority.

Responsibilities

Own the analytics and measurement roadmap for your vertical, translating business goals into a prioritized plan.

Design, run, and read experiments to grow transactions and improve conversion, using rigorous measurement to validate what works.

Build models and analyses for ranking, targeting, personalization, and top-of-funnel signal expansion that drive member and business outcomes.

Conduct funnel, conversion, and incrementality analysis to identify the biggest opportunities and size their impact.

Partner directly with Product, Marketing, and AI Science to embed data-driven decisions into the member experience and end-to-end journeys.

Develop the key success metrics and leading indicators that show how the vertical is performing and whether each initiative is delivering the desired outcomes.

Use Generative AI tools (for example, Claude) to accelerate analytical workflows and scale your impact.

Communicate insights clearly to partners at all levels, turning complex analysis into concise, actionable recommendations.

Collaborate across data science and data engineering to build durable datasets and analytics capabilities.

Qualifications

Minimum 4 or more years of experience in analytics or data science.

Strong hands-on foundation in SQL and data visualization tools such as Tableau or Looker.

Experience applying advanced analytics and machine learning techniques (for example, Python, ML models, experimentation, LLMs)  to real business problems.

Proven ability to design and interpret experiments and to measure incremental impact.

Ability to build analytical frameworks for ambiguous problems and to drive them to a decision.

Strong communication skills and the ability to influence product and business partners without formal authority.

Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Experience in fintech or financial services is a plus.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Oakland $162,500 - $220,000