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Applied Scientist, Speed Analytics and Tools

Job ID: 2249400 | Services LLC


Job summary
Amazon is seeking a candidate to identify, develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American transportation network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide.
As an Applied Scientist for the US Speed team, you will work with business, science and analytics teams across the company to build state of the art data products to improve delivery speed for our customers. Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and lower cost of operations. In this role, you will develop scalable mathematical models to derive solution to existing network structure and create evaluation methods to track the performance and identify areas of improvements.

Key job responsibilities

  • Research and use of statistical techniques to create scalable solutions for business problems
  • Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key features and processes and build new data analysis products
  • Work closely with scientists and engineering teams to create and deploy new features
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation.
  • Evaluate cross-team perspectives, use quantitative methods to derive justification, and build consensus on a roadmap on the required level of analyses to meet goal


  • MS or PhD in Computer Science, Data Science, Statistics, Applied Mathematics or a related quantitative field
  • 2+ years of experience in solving complicated problems in the area of applied research science, data science or software development
  • Experience programming in Python, Java or related language
  • Experience with full development life cycle for large-scale software products including extensive experience with service oriented architectures, design patterns, web services, and web applications/services development.


  • PhD in Computer Science, Data Science, Statistics, Applied Mathematics or a related quantitative field
  • Prior work experience as an applied scientist or a data scientist at a consumer product company
  • Experience building predictive models and forecasts
  • Experience using an object-oriented language to write production-ready code
  • Peer-reviewed scientific contributions in premier journals and conferences

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit