Applied Scientist, Price Perception and Evaluation Science

Amazon Amazon · Big Tech · Seattle, WA · Machine Learning Science

Applied Scientist role focused on building and scaling a self-learning scientific price estimation and product understanding system for Amazon's consumer platform. The role involves researching and applying statistical and ML techniques, designing and deploying ML solutions, and evaluating them through offline and online tests. The scientist will also establish automated processes for data analysis and model development, and publish their work.

What you'd actually do

  1. Research and use of statistical techniques to create scalable solutions for business problems.
  2. Design, build, and deploy effective and innovative ML solutions to provide low prices and increased selection for customers using scientifically-based methods and decision making.
  3. Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
  4. Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation.
  5. Publish and present your work at internal and external scientific venues.

Skills

Required

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language

Nice to have

  • Experience building machine learning models or developing algorithms for business application
  • Experience applying theoretical models in an applied environment
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

What the JD emphasized

  • building models for business application experience
  • patents or publications at top-tier peer-reviewed conferences or journals

Other signals

  • build and scale an advanced self-learning scientific price estimation and product understanding system
  • design and run experiments, research new algorithms
  • partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services