Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities
Leads the design, validation, deployment, monitoring, and continuous improvement of advanced artificial intelligence and machine learning solutions
Architects scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management
Translates complex business challenges into scalable artificial intelligence solutions with measurable outcomes
Establishes technical standards, reusable patterns, and best practices for enterprise artificial intelligence development and governance
Partners with business and technology leaders to influence capability roadmaps and deliver sustainable business value
Mentors data scientists, machine learning engineers, researchers, and technical leaders

Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline
Minimum of 10 years of experience in machine learning, data science, artificial intelligence, advanced analytics, or related technical fields
Experience leading artificial intelligence or machine learning initiatives from concept through production deployment
Experience with Python, machine learning frameworks, cloud-based artificial intelligence, or machine learning platforms, MLOps, model deployment, monitoring, lifecycle management, and structured and unstructured data systems

Principal Applied Scientist

Key skills