Amazon Data Scientist Middle Mile Transportation NEST 

United States, Washington, Bellevue 

791050546

Key job responsibilities
- Design and contribute to the components of automated prediction and optimization applications dictating key planning outputs in transportation planning and labor management- Building science-based applications leveraging discrete event, agent based simulation methods, applications (AnyLogic, Arena, etc.) OR optimization methods, solvers (Gurobi, Xpress, CPLEX, AMPL, etc.)
- Manipulating/mining data from databases (Redshift, SQL Server, S3)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 2+ years of data scientist experience
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience applying theoretical models in an applied environment
- Hands-on experience with machine learning, time series modeling, optimization techniques/math programming, simulation methods (discrete event, agent-based)
- Experience in communicating technically, at a level appropriate for the audience

- Experience using AWS tools such as SageMaker, S3, Lambda and Dynamo DB
- Experience in building optimization models and implementing them using commercial solvers (e.g. CPLEX, Gurobi, XPRESS etc.)
- Experience in building simulation models using commercial software (ARENA, AnyLogic, Flexsim etc.)