This role pays more than
78%
of similar roles. Most pay
$126,800–$213,817
— the shaded band above.
At the midpoint, this role pays about
$218k
versus about
$170k
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
206 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 185 roles with salary data.
Staff Data Scientist | CK Intelligence joins the CK Intelligence team to shape the strategy and measurement of Credit Karma’s next-generation AI products across Chat, Agents, and Insights. This role focuses on zero-to-one environments where the individual will own the analytical direction for non-deterministic experiences, building golden datasets and LLM-as-judge calibrations to certify product quality. Key responsibilities include identifying high-value use cases, designing experiments using causal inference and counterfactual reasoning, and developing data products to power agentic systems. The role requires advanced SQL proficiency, experience with Python or R, and expertise in visualization tools like Tableau, Power BI, or Looker. The position addresses the challenge of measuring nascent AI capabilities where established benchmarks do not exist, translating complex technical performance into clear narratives to guide executive decision-making regarding product roadmap and investment.
What does a Data Scientist earn in California?
Median $214000 from 77 postings across 25 companies.
Identify, evaluate, and size AI use cases against business value to shape product roadmaps.
Build and run AI evaluation frameworks, including golden datasets and LLM-as-judge calibration, to certify non-deterministic experiences.
Develop measurement strategies and success criteria for new AI products where established benchmarks do not exist.
Apply causal inference and counterfactual reasoning to isolate the true impact of AI features on key metrics.
Build and maintain data products, including models and pipelines, that power internal intelligence systems.
Automate analytical bottlenecks into agentic systems to allow stakeholders to run independent analyses.
Create compelling visualizations and narratives to help leadership make informed investment decisions regarding AI capabilities.
Mentor other data scientists and champion best practices in experimentation and decision science.
What we're looking for
8+ years of experience in data science, analytics, business intelligence, or a related field.
Proven track record of shaping strategy and influencing executive decision making through data.
Experience supporting zero to one products, emerging business models, growth initiatives, or other highly ambiguous problem spaces.
Experience measuring or evaluating AI, machine learning, or personalization products, including non-deterministic experiences like LLM-as-judge and golden datasets.
Strong expertise in experimentation, performance measurement, customer analytics, and causal or decision-oriented analysis.
Ability to define success metrics and learning frameworks for initiatives without established benchmarks.
Advanced SQL proficiency and experience using Python or R for analysis, modeling, and automation.
Expertise in data visualization tools such as Tableau, Power BI, Looker, or similar platforms.