Working toward a bachelor’s degree in mathematics, statistics, computer science, data mining, machine learning, physics, operations research, or a related quantitative discipline, with at least two years of coursework completed (Master’s students considered if graduation is August 2026 or later)
Understanding of statistical and predictive modeling concepts, especially clustering and classification techniques
High aptitude for programming languages
Desire to learn new things
Ability to adapt to constant change and innovation
Knowledge of SQL, Python, or R is a plus
Ability to work in the U.S. without current or future sponsorship
Responsibilities
Create data files to be used in modeling software
Build and evaluate predictive models using modeling software
Present predictive model proposals for peer review and business approval
Create specifications for and coordinate implementation of predictive models
Occasionally perform ad-hoc reporting to answer specific inquiries from upper management