Applied Scientist, Last Mile Science

Amazon Amazon · Big Tech · Bellevue, WA · Research Science

The role focuses on applying operations research and machine learning to optimize Amazon's last-mile delivery operations, aiming to improve efficiency, reduce costs, and enhance customer experience. Responsibilities include developing models, creating metrics, managing projects, and working with tech teams to build new tools and systems.

What you'd actually do

  1. Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
  2. Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
  3. Managing multiple projects simultaneously
  4. Working with technology teams and product managers to develop new tools and systems to support the growth of the business
  5. Communicating with and supporting various internal stakeholders and external audiences

Skills

Required

  • 1+ years of programming in Java, C++, Python or related language experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience building machine learning models or developing algorithms for business application
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • PhD in (Operations Research, Statistics, Engineering, and Supply Chain)
  • history of operations research
  • ability to use data and research to make changes
  • robust program management skills
  • research science skills

Other signals

  • building a compelling case
  • using data to influence change
  • develop scalable processes and tools
  • significant impact to the customer experience