About The Position
This position builds dynamic simulation models and develops and tests solution approaches to complex, inter-connected business problems. He/She applies machine learning and other data analysis techniques to solve large-scale logistics problems. This position works with a team to transform data analytics requirements into predictive and prescriptive solutions and innovative data visualizations to illustrate trade-offs and insights. He/She performs project work matched to skillsets, strengths, and interests.
Requirements
- Bachelor's Degree or International equivalent
- Must be a student currently enrolled in a degreed college/university program, or graduated from a degreed college/university program within the last 24 months
- Master's Degree or PhD in Engineering, Statistics, Analytics, Mathematics, Computer Science, Information Technology or related discipline
- Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.
Nice To Haves
- 1-3 years work experience or equivalent research assistantship
Responsibilities
- Develops analytical models and data visualizations to drive analytic insights.
- Interacts with cross-functional teams to model current operations processes and evaluate potential solutions.
- Presents data insights and recommendations to key stakeholders.
- Partners with cross-functional teams to model operations processes.
- Engages with external collaborators to incorporate findings into UPS projects.
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What This Job Offers
Career Level
Intern
