Currently pursuing a Master’s degree in a quantitative field (e.g., Engineering, Statistics, Operations Research, Computer Science, Applied Math, Economics, Data Science, etc.)
Strong analytical skills
Proficiency in at least one programming language (e.g., R, Python, SQL, etc.) or family of techniques (e.g., optimization, simulation, machine learning, predictive modeling)
Adaptability and ability to handle multiple priorities
Proficiency in English (written and spoken)
Responsibilities
Build the next generation of supply chain analytics using mathematical modeling techniques (decision analysis, optimization, machine learning, simulation, etc.)
Utilize programming languages such as Python, SQL, R, Hive/Impala, MATLAB, or Power BI, Tableau for data visualization
Work with technology partners to translate analytical innovations into robust solutions
Communicate complex data insights into simple conclusions to empower decision-making
Collaborate within an award-winning Analytics / Operations Research community