Principal AI Scientist

Intuit; Cedar Rapids (IA); On-site; USD 180,000 - 240,000; Full time

Job summary

Intuit in Cedar Rapids, IA, seeks a senior AI scientist to build and deploy machine learning models across marketing and product areas. You will lead teams in ML, NLP, and optimization, and mentor peers while driving multi-year technology strategy.

You will influence executives, design state-of-the-art algorithms, and deliver end-to-end ML solutions that impact hundreds of thousands of customers. A PhD/MS in a related field and strong programming experience are required.

Qualifications

• PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
• Experience in Marketing platforms or media management; cognitive sciences background is a plus.
• Solid knowledge of statistical techniques.
• 3+ years as a lead in an AI science role or management position in AI science.
• Strong communication skills and ability to influence at executive level.
• Hands-on programming in ML, NLP, Statistics, or Optimization.
• 6+ years’ experience manipulating large datasets and using databases (R, SQL, S-Plus, etc.).
• 6+ years’ experience with a general-purpose programming language (Python, Scala, etc.).
• Expert knowledge and hands-on experience with ML pipelines and design patterns.
• Proven track record of influencing business leaders to shape projects.

Responsibilities

• Leads team’s work in ML, NLP, Statistics, or Optimization and performs hands-on work.
• Influences business leaders to shape mission critical projects.
• Drives multi-year vision connecting product and technology strategy.
• Contributes to ML platform architecture and strategy.
• Leads delivery and integration of ML solutions with cross-functional teams.
• Conducts design reviews and ensures technical and operational rigor.
• Mentors colleagues to build a vibrant AI practice community.

Skills

Leadership

ML

NLP

Statistics

Optimization

Programming

Python

SQL

Education

PhD or MS in Engineering Mathematics/Statistics/Theoretical-Computational Physics

Experience in Marketing platforms / media management

Tools

R

SQL

S-Plus

Job description

Overview

Come join our collaborative and creative group of AI 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, targeted towards areas like marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, Digital twins etc. The world of marketing is changing dramatically. We are waiting for you to join us and do the best work of your life.

Overview

Come join our collaborative and creative group of AI 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, targeted towards areas like marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, Digital twins etc. The world of marketing is changing dramatically. We are waiting for you to join us and do the best work of your life.

Responsibilities

• Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI 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.

Qualifications

• 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.)
• 6+ years’ experience with a general-purpose programming language (e.g. Python, Scala, etc.)
• 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

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.