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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.
- Master's degree, or Bachelor's degree
- 4+ years of data scientist experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- Business level English language skills
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience as a leader and mentor on a data science team
- Business level Japanese language skills
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