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Responsibilities:- 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- 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
- Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline- Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms- Deliver results according to project schedules and quality
Key job responsibilities-You support go/no-go decisions, build consensus, and assist leaders in making trade-offs.
A day in the life
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- 5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- Experience converting research studies into tangible real-world changes
- Experience mentoring, coaching, and influencing colleagues, collaborators, and stakeholders
- Experience in designing and optimizing the process improvement solutions using Discrete Event Simulation (DES)
- Experience with discrete and continuous optimization methodologies and algorithms
- PhD and 5+ years of Simulation experience using using Discrete Event Simulation (DES)
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