Principal Applied Scientist

Responsibilities

• 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

Demonstrates expertise in defining and implementing enterprise artificial intelligence and machine learning strategies, with a strong focus on scalable solutions and measurable outcomes. Proficient in leading cross-functional teams and mentoring technical professionals to drive innovation and business value.