below marketmost similar roles pay hereabove market
This role pays more than
73%
of similar roles. Most pay
$132,375–$195,000
— the blue band above.
At the midpoint, this role pays about
$191k
versus about
$164k
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
255 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 236 roles with salary data.
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, translating business goals into prioritized plans to grow transactions and improve the member shopping experience. Your daily responsibilities include designing and running experiments, building models for ranking, targeting, and personalization, and conducting funnel and incrementality analyses. You will partner with product and marketing leaders to embed data-driven decisions into end-to-end journeys. The role requires proficiency in SQL, Python, and machine learning models, alongside experience with data visualization tools like Tableau or Looker. You will also utilize Generative AI tools like Claude to accelerate workflows while solving complex problems within the fintech and financial services domain.
What does a Data Scientist earn in California?
Median $214500 from 114 postings across 26 companies.
Own the analytics and measurement roadmap by translating business goals into a prioritized plan.
Design, run, and interpret 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 business opportunities.
Develop key success metrics and leading indicators to track vertical performance and initiative outcomes.
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 such as Tableau or Looker.
Experience applying advanced analytics and machine learning techniques including Python, ML models, experimentation, and 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 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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