Staff Data Scientist

Intuit

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Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$194,000–$262,500 / yr
Posted
123 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $228k
$117k $278k
below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $147,540–$222,350 — the blue band above. At the midpoint, this role pays about $228k versus about $185k 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.

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At a glance

TL;DR · Staff Data Scientist

The Staff Data Scientist joins the Intuit Customer Success Data Science team to shape how the company measures and optimizes the externalization of expert capabilities. This senior individual contributor will design, build, and ship GenAI solutions from prototype to production while identifying innovative strategies for unstructured text data mining. Key responsibilities include architecting context engineering pipelines using knowledge graphs, leading prompt engineering with offline and online evaluations, and implementing observability with LLM-as-judge frameworks. The role requires expertise in NLP, causal inference, and statistical modeling to translate complex business problems into analytical frameworks. Candidates must utilize SQL, Python, LangChain, and LlamaIndex alongside cloud providers like Azure, OpenAI, and AWS Bedrock to solve problems regarding product funnel optimization, friction point identification, and hallucination mitigation.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Design, build, and ship GenAI solutions from initial prototype to production.
  • Architect context engineering pipelines leveraging knowledge graphs and unstructured text data mining.
  • Lead prompt engineering including system prompts, function calling, and versioning with offline/online evaluations.
  • Implement evaluation and observability frameworks using LLM-as-judge, human review, and latency monitoring.
  • Translate business problems into analytical frameworks and define north-star metrics for the customer journey.
  • Conduct deep-dive analyses on unstructured data to create dashboards and self-serve tools for leadership.
  • Partner with platform teams to ensure reliable, scalable data pipelines and solution instrumentation.
  • Collaborate with legal and security teams to ensure AI safety, privacy, and PII handling.

What we're looking for

  • 8+ years of experience in data science with a record of applying advanced analytical methods to drive product or business growth.
  • Proven experience in unstructured text analytics, mining, success metric definition, and learning plan alignment.
  • B.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience.
  • Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.
  • Advanced skills in SQL and Python with practical experience using data visualization platforms like Tableau or Qlik.
  • Proficiency in Python and experience with LangChain/LlamaIndex (or equivalent).
  • Experience with cloud LLM providers (Azure, OpenAI, AWS Bedrock, Vertex AI) and orchestration (Airflow/Dagster).
  • Experience with data integration and pipeline development is a plus; familiarity with LLMs and GenAI workflows is strongly preferred (preferred).

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