World Wide Engineering and Innovations (WWEI) - Sortation and Ultrafast Engineering (SUE) team is looking to solve complex problems for customers by building a unique, solutions advisory group with a relentless focus on the customer
Requirements
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks
- Experience with FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages
- Experience analyzing both experimental and observational data sets
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- PhD, or Master's degree and 4+ years of quantitative field research experience
Responsibilities
- Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes
- Lead strategic modeling and simulation research projects to drive process design decisions
- Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards
- Identify and tackle intrinsically hard process flow simulation problems
- Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations
- Provide simulation data and measurements that influence the business strategy of an organization
- Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms
Other
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Ability to interface and influence various functional teams and individuals at all levels of the organization
- Ability to communicate insights and recommendations to audiences of varying levels of technical sophistication
- Ability to mentor and educate the larger simulation data science community on trends, technologies, and best practices
- Ability to work with cross-functional teams
