Bachelor''s degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) and five (5) years of experience analyzing datasets and developing analytics, as well as five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. You will work closely with technical teams, analysts, subject matter experts, and customer leadership to transform complex data into actionable insights and transition innovative algorithms and research concepts into scalable, production-ready capabilities.