Bachelor's degree in a quantitative discipline (Operations Research, Analytics,Industrial Engineering, Data Science, Applied Statistics, or a related field)
3+ years of relevant work experience
In-depth knowledge and strong background in one or more of the following specialized areas:
Advanced optimization modelling methods (LPs, MIPs, etc.) and experience building large-scale models using FICO Xpress, ILOG CPLEX, or similar
Building simulation models using AirTOP, SIMMOD, Arena, SIMIO or similar
Statistical and machine-learning techniques and experience in applying predictive analytics to practical business problems
Strong background in programming and modeling languages (Java and SAS, R or Python)
Experience with extraction, cleansing and analysis of large datasets to identify key trends and insights
Experience using data visualization software (Tableau or similar) to explore and analyze data
Knowledge of Microsoft Office, SQL, etc.