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Staff Data Scientist: Intelligent Process Automation Solutions Designer

Intuit

$115,400 - $202,100
Dec 6, 2025
San Diego, CA, US
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Intuit is looking to solve the problem of bridging business strategy and technical execution by designing, automating, and optimizing end-to-end workflows that drive transformation across Intuit's service and operational ecosystems.

Requirements

  • Strong programming experience in Python (required); experience with JavaScript, Go, or similar languages a plus.
  • Experience in process automation, process mining, data pipelines, and system integrations using APIs and cloud-native tools.
  • Expertise interfacing with Large Language Models (LLMs) and building Agentic AI systems that interact with APIs, data, and end-users.
  • Proficiency in AWS services (Lambda, S3, API Gateway, DynamoDB, Step Functions, CloudFormation, etc.).
  • Experience with Jenkins, microservices, and MSAAS architectures.
  • Understanding of event-driven automation, and data governance/security principles.

Responsibilities

  • Lead the design and deployment of intelligent process automation solutions across Customer Success and adjacent business units.
  • Architect integrated systems connecting CRM, data pipelines, APIs, and AI services using AWS infrastructure, Jenkins, and microservice (MSAAS) environments.
  • Translate business requirements into solution blueprints and software design documentation that define data flow, integration points, and automation logic.
  • Oversee solution design from conceptualization to production, ensuring alignment with the company's automation strategy and governance frameworks.
  • Build Agentic AI capabilities that can autonomously perform business processes or support human decision-making.
  • Design and implement LLM-based interfaces and workflows for process orchestration, text understanding, and automation triggering.
  • Develop, test, and deploy Python-based automation frameworks, scripts, and microservices for workflow optimization.

Other

  • Proven ability to design solutions that blend technical feasibility with business impact.
  • Strong business acumen and understanding of operational processes, metrics, and automation ROI.
  • Skilled communicator — able to articulate technical strategies to non-technical stakeholders.
  • Demonstrated ownership, accountability, and influence in cross-functional environments.
  • Experience in driving process transformation initiatives across large-scale organizations.