Staff Data Scientist

Intuit

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$194,000–$262,500 / yr
Posted
77 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $228k
$108k most similar roles pay here $279k

This role pays more than 75% of similar roles. Most pay $137,743–$226,406 — the shaded band above. At the midpoint, this role pays about $228k versus about $182k 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 · Staff Data Scientist

As a Staff Data Scientist on the Intuit Customer Success team, you will play a pivotal role in measuring and optimizing the externalization of expert capabilities. You will design, build, and ship GenAI solutions from prototype to production while partnering with business owners and platform teams to reduce customer friction. Your daily work involves mining unstructured text data, architecting context engineering pipelines using knowledge graphs, and leading prompt engineering efforts including function calling and versioning. You will utilize Python, SQL, LangChain, LlamaIndex, and cloud LLM providers like Azure or AWS Bedrock to build intelligent tools. Key technical focuses include retrieval strategies, hallucination mitigation, and causal inference. You will translate complex analytical findings into actionable insights to drive product growth through advanced NLP, machine learning, and statistical modeling within the customer experience domain.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Design, build, and ship GenAI solutions from the prototype stage through to production.
  • Architect context engineering pipelines using knowledge graphs to improve model performance.
  • Lead prompt engineering initiatives including system prompts, function calling, and versioning with offline/online evaluations.
  • Implement LLM evaluation and observability systems involving ground truth establishment, cost monitoring, and latency tracking.
  • Conduct deep-dive analyses on unstructured text data to inform strategic business decisions.
  • Create dashboards and self-serve tools to democratize access to insights across cross-functional teams.
  • Partner with engineering and platform teams to ensure reliable, scalable data pipelines and infrastructure.
  • Translate complex analytical findings into clear, actionable recommendations for executive leadership.

What we're looking for

  • B.S. or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, or Operations Research.
  • 8+ years of experience in data science with a record of using analytical methods to drive product or business growth.
  • Proven experience in unstructured text analytics and mining, success metric definition, and learning plan alignment.
  • Proficiency in Python, SQL, and frameworks like LangChain or LlamaIndex.
  • Experience with cloud LLM providers (Azure, OpenAI, AWS Bedrock, Vertex AI) and orchestration tools like Airflow or Dagster.
  • Expertise in GenAI workflows, including prompt engineering, retrieval strategies, and hallucination mitigation.
  • Proficiency in causal inference, statistical modeling, machine learning, and experimental design to solve complex business problems.
  • Strong communication skills to translate complex analytical findings into compelling narratives for executive stakeholders.

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