Senior Research Scientist Transportation Optimization (NEST)

Amazon Inc.; Factoria (WA); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon.com Services LLC's Network Engineering, Scheduling and Technology (NEST) Science team seeks a Sr. Research Scientist to design and produce mathematical models that govern Amazon's Middle Mile network.

You will tackle complex planning, scheduling, and transportation problems using operations research, machine learning, and simulation. The role emphasizes building production-grade models, collaborating with engineers, and mentoring other scientists while influencing strategy across multiple

Qualifications

• 3+ years investigating the feasibility of applying scientific principles and concepts to business problems and products experience
• PhD, or Master's degree and 5+ years of quantitative field research experience
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience communicating qualitative research methods and findings to non-qualitative researchers

Responsibilities

• Invent and design new models and algorithms for scientifically complex problems in transportation network planning, scheduling, equipment selection, and labor optimization
• Frame ambiguous, poorly defined business problems into tractable scientific formulations, distinguishing problems that require novel research from those addressable with existing techniques
• Extend the state of the art in operations research, optimization, machine learning, and stochastic/discrete-event simulation as the problem demands
• Author internal and external peer-reviewed publications where appropriate and not precluded by business considerations
• Lead the design, implementation, and delivery of production-grade models for complex, system-level problems, working from concept through deployment with engineering partners
• Develop code (Python, Java, C++, Julia, or similar) to build, validate, and productionize models at Amazon Code Bar quality where models ship to production
• Build models that are maintainable, extensible, accurate, and cost-effective, making principled trade-offs between scientific rigor and speed of execution
• Design and run experiments and simulations to validate assumptions, quantify benefits, and gate rollouts on solution quality
• Drive the scientific agenda for medium-to-large problem areas, proposing new initiatives and securing leadership buy-in
• Influence science and engineering strategy across multiple teams, building consensus and resolving contentious technical trade-offs
• Mentor and develop other scientists, raise the team's scientific bar, and participate actively in the hiring process
• Communicate complex scientific findings and recommendations clearly to technical and non-technical audiences, including senior leadership

Job description

Amazon.com Services LLC's Network Engineering, Scheduling and Technology (NEST) Science team seeks a Sr. Research Scientist to design and produce mathematical models that govern Amazon's Middle Mile network.

You will tackle complex planning, scheduling, and transportation problems using operations research, machine learning, and simulation. The role emphasizes building production-grade models, collaborating with engineers, and mentoring other scientists while influencing strategy across multiple