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Key job responsibilities- Apply mathematical optimization and control techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming, decomposition methods, model predictive control) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.
- Research, prototype, simulate, and experiment with these models by using modeling languages such as Python or R; participate in the production level deployment.
- Create, enhance, and maintain technical documentation- Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks
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