Principal AI Scientist - GTM Tech Category Data

About the Role Join Intuit's collaborative AI science group to build and deploy machine learning models that directly impact hundreds of thousands of customers. You will work on models spanning marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, and digital twins, applying analytical methods and deep learning. What You'll Do

• Lead team's work in one or more of: ML, NLP, Statistics, or Optimization, performing hands-on work in these domains.
• Weigh ROI considerations of general and tailored capabilities for projects in the team.
• Create new capabilities that solve critical business problems; push ML boundaries by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends.
• Influence business leaders to shape mission-critical projects; create a multi-year vision that connects product strategy with technology strategy.
• Drive architecture decisions, influence and contribute to ML platform architecture and strategy.
• Lead team and partners to the successful delivery and integration of ML solutions.
• Conduct design reviews, enforce technical and operational rigor; act as an advisor and mentor to build a vibrant practice community. What We're Looking For
• PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
• Prior experience / qualifications in Marketing platforms, media management.
• If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you.
• Solid knowledge of statistical techniques.
• 3+ years as either a lead in a AI science role or in a management position in AI science.
• Strong communication skills and proven experience as an influencer at the executive level.
• Hands-on programming experience and expert knowledge 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). What We’re Looking For (continued)
• Additional qualifications in Marketing platforms or related domains are a plus.