Senior Data Scientist, Personal Finance

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Oakland, CACharlotte, NC
Salary
$162,500–$220,000 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $167k
This role $191k
$107k most similar roles pay here $235k

This role pays more than 68% of similar roles. Most pay $129,875–$203,900 — the shaded band above. At the midpoint, this role pays about $191k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

Most-posted roles

View all roles at Intuit

At a glance

TL;DR · Senior Data Scientist, Personal Finance

As a Senior Data Scientist, Personal Finance, you will serve as a core individual contributor within the Personal Finance portfolio. You will own the analytics and measurement roadmap, designing experiments to grow transactions, improve conversion, and expand top-of-funnel signals. Your daily work involves building models for ranking, targeting, and personalization while conducting funnel, conversion, and incrementality analyses to identify growth opportunities. You will collaborate with product, marketing, and AI science teams to embed data-driven decisions into the member experience. To succeed, you must possess a strong foundation in SQL, Tableau or Looker, Python, machine learning models, and LLMs. You will also utilize Generative AI tools like Claude to accelerate workflows. This role focuses on solving complex problems within the personal finance vertical by translating technical findings into actionable business recommendations for various stakeholders.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Own the analytics and measurement roadmap to translate business goals into a prioritized plan.
  • Design and execute experiments to grow transactions and improve conversion rates.
  • Build models for ranking, targeting, personalization, and top-of-funnel signal expansion.
  • Conduct funnel, conversion, and incrementality analyses to identify and size growth opportunities.
  • Develop key success metrics and leading indicators to track vertical performance.
  • Use Generative AI tools to accelerate analytical workflows and scale impact.
  • Translate complex analysis into concise, actionable recommendations for product and marketing leaders.
  • Collaborate with data engineering to build durable datasets and analytics capabilities.

What we're looking for

  • Minimum 4 or more years of experience in analytics or data science.
  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Strong hands-on foundation in SQL and data visualization tools like Tableau or Looker.
  • Experience applying advanced analytics and machine learning techniques including Python, ML models, experimentation, and 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 them to a decision.
  • Strong communication skills and the ability to influence product and business partners without formal authority.
  • Experience in fintech or financial services (preferred).

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