Principal Data Scientist

Overview

Intuit is hiring a Principal Data Scientist to join our Intuit AI team.

Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life.

What you'll bring

• 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 in 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 (e.g. R, SQL, S-Plus, etc.)
• 6+ years' experience with a general-purpose programming language (e.g. Python, Scala, etc.)

• 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
• Proven track record of influencing business leaders to shape mission critical projects
• Proven track record of leading team to successful delivery of ML solutions
• Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel

• Practices excellent leadership and communication skills to influence and lead teams and to evangelize data science across the organization
• Leads team's work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains.
• Weighs ROI considerations of general and tailored capabilities for projects in the team
• Creates new capabilities that solve critical business problems
• Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
• Influences business leaders to shape mission critical projects
• Creates multi-year vision that connects product strategy with technology strategy
• Drives architecture decisions, influences and contributes to ML platform architecture and strategy
• Leads team and partners to the successful delivery and integration of ML solutions
• Conducts design reviews, holds teams to technical and operational rigor.
• Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community