D in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus zero years of experience, or any suitable and equivalent combination of education and work experience. Design, build, and evaluate reusable GenAI tools, skills, agents, and workflows; rapidly prototype emerging AI capabilities and move successful experiments toward scalable, production-ready solutions.