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Principal Data Scientist

2 months ago

San Diego, California, United States Intuit Inc. Full time
About the Role

We are seeking a highly skilled Principal Data Scientist to join our team at Intuit Inc.

The ideal candidate will have a strong background in machine learning, data analysis, and software engineering, with a proven track record of designing and deploying AI systems that drive business value.

Key Responsibilities
  • Lead Architecture Decisions: Drive architecture decisions and influence the development of our machine learning platform.
  • Develop Multi-Year Vision: Create a multi-year vision that connects product strategy with technology strategy.
  • Practice Excellent Leadership: Practice excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization.
  • Lead Team's Work: Lead team's work in one or more of ML, NLP, Statistics, or Optimization, and perform hands-on work in these domains.
  • Weigh ROI Considerations: Weigh ROI considerations of general and tailored capabilities for projects in the team.
  • Create New Capabilities: Create new capabilities and technology shifts that solve critical business problems.
  • Push Boundaries of ML: Push the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends.
  • Influence Business Leaders: Influence business leaders and architects around the company to shape mission-critical projects.
  • Lead Team and Partners: Lead team and partners to the successful delivery and integration of ML solutions.
  • Conduct Design Reviews: Conduct design reviews, and hold teams to technical and operational rigor.
  • Act as Advisor: Act as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community.
Requirements
  • PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Solid knowledge of statistical techniques
  • 3+ years as either a lead in a data science role or a management position in data science
  • Strong communication skills and proven experience as an influencer at the executive level
  • Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
  • 6+ years' experience manipulating large datasets and using databases
  • 6+ years' experience with a general-purpose programming language
Preferred Qualifications
  • PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
  • Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance
  • Software engineering fundamentals: version control systems and workflows, and ability to write production-ready code
  • Proven track record of influencing business leaders to shape mission-critical projects
  • Proven track record of leading teams to successful delivery of ML solutions
  • Strong interpersonal and communication skills