Applied Scientist III - Amz9674037

Amazon Amazon · Big Tech · Seattle, WA · Customer Service

Applied Scientist III role at Amazon Web Services focusing on the design, development, evaluation, and deployment of data-driven models and analytical solutions for ML and NL applications. Responsibilities include applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel ML approaches. Requires a Master's degree 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

Nice to have

  • Bayesian models
  • deep neural networks
  • optimization methods

What the JD emphasized

  • conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering

Other signals

  • develop and/or apply statistical modeling techniques
  • build and deploy ML models
  • run and analyze experiments in a production environment
  • research and implement novel ML and statistical approaches