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Researcher at ProminentSaffing
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Operations Research Role - Research/Analytics Firm (6-9 yrs)
Job Description :
- PhD in Operations Research, Mathematics, Statistic, or Computer Science strongly preferred with 1+ years hands on experiences building optimization and/or simulation model to solve real-world optimization problem; Or MS with 3+ years professional experiences solving real-world optimization problem, preferably in insurance analytics
- Solid knowledge in stochastic process, queuing theory, stochastic/robust optimization, assignment optimization, network optimization, capacity planning optimization, MILP; relevant professional experience preferred
- Leverage optimization (and simulation) models to support building Staffing and Assignment optimization models
- Develop model deployment tool in python, model monitoring and ad hoc analysis as needed
- Proficient in Python, and familiar with Optimization engines (CPLEX, GUROBI, or comparable)
- Prior experience in managing and delivering on end to end projects
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe
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