Applied Scientist III - Amz9675101

Amazon Amazon · Big Tech · Chicago, IL · Corporate Operations

Applied Scientist III role focused on designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for machine learning and natural language applications. The role involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel ML approaches. Requires a Master's degree (or equivalent experience) in a related field and experience in programming and developing supervised/unsupervised ML models.

What you'd actually do

  1. Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.
  2. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
  3. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment.
  4. Identify new opportunities for research in order to meet business goals.
  5. Research and implement novel ML and statistical approaches to add value to the business.

Skills

Required

  • programming in Java, C++, Python, or equivalent programming language
  • conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering

What the JD emphasized

  • data-driven models
  • machine learning (ML)
  • natural language (NL) applications
  • statistical modeling techniques
  • deep neural networks
  • ML techniques
  • ML models
  • experiments in a production environment
  • novel ML and statistical approaches

Other signals

  • design, development, evaluation, deployment and updating of data-driven models
  • statistical modeling techniques
  • deep neural networks
  • ML techniques
  • build and deploy ML models
  • run and analyze experiments in a production environment
  • Research and implement novel ML and statistical approaches