Staff Data Scientist, Intelligent Process Automation Solutions

Intuit

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CAMountain View, CA
Salary
$185,500–$251,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $218k
$96k most similar roles pay here $268k

This role pays more than 78% of similar roles. Most pay $127,703–$217,293 — the shaded band above. At the midpoint, this role pays about $218k versus about $172k 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 222 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 199 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist, Intelligent Process Automation Solutions

Staff Data Scientist: Intelligent Process Automation Solutions joins the Intelligent Process Automation team within the Customer Success organization to bridge business strategy and technical execution. This role involves designing, automating, and optimizing end-to-end workflows across service and operational ecosystems. The individual will architect integrated systems connecting CRM, data pipelines, APIs, and AI services while building Agentic AI capabilities and functional models including classical ML and LLM-based solutions like fine-tuning and RAG. Day-to-day responsibilities include developing Python-based automation frameworks, implementing CI/CD pipelines via Jenkins, and managing AWS infrastructure such as Lambda and S3. The role requires expertise in microservices, process mining, and data governance to solve complex business problems related to scalability and customer experience. Key technical skills include Python, JavaScript, Go, and advanced proficiency in building LLM-based interfaces for automated process orchestration.

What does a Data Scientist earn in California?

Median $214000 from 95 postings across 33 companies.

See salary data

What you'll do

  • Design and deploy end-to-end intelligent process automation solutions across Customer Success and other business units.
  • Architect integrated systems connecting CRM, data pipelines, APIs, and AI services using AWS infrastructure.
  • Translate complex business requirements into technical solution blueprints and software design documentation.
  • Build and train functional ML models including classical machine learning and LLM-based fine-tuning/RAG.
  • Develop Agentic AI capabilities to autonomously perform business processes or support human decision-making.
  • Create Python-based automation frameworks, scripts, and microservices for workflow optimization.
  • Implement robust CI/CD pipelines using Jenkins and AWS tools for automated deployment and version control.
  • Lead proof-of-concepts and pilot programs to evaluate new technologies and cutting-edge automation use cases.

What we're looking for

  • Demonstrated experience building, training, and deploying functional models in both classical ML and LLM-based approaches.
  • Expertise in building and fine-tuning Large Language Models (LLMs) and Agentic AI systems beyond simple API orchestration.
  • Strong programming experience in Python is required.
  • Proficiency in AWS services including Lambda, S3, API Gateway, DynamoDB, Step Functions, and CloudFormation.
  • Experience with Jenkins, microservices, and MSAAS architectures.
  • Experience in process automation, process mining, data pipelines, and system integrations using APIs and cloud-native tools.
  • Exposure to contact center, CRM, or customer service technologies (preferred).
  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree or MBA (preferred).

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