Applied Scientist II - Amz27057.1

Amazon Amazon · Big Tech · Boston, MA · Corporate Operations

The Applied Scientist II role at Amazon focuses on the design, development, evaluation, deployment, and updating of data-driven models and analytical solutions for ML and NL applications. The role involves applying statistical modeling, optimization, and ML techniques, routinely building and deploying ML models, and researching novel ML approaches. Mentoring junior scientists is also part of the responsibilities. The basic qualifications require a Master's degree or equivalent with one year of experience, or a Bachelor's degree with five years of experience, in a related field, with specific experience in programming (Java, C++, Python) 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.
  4. Research and implement novel ML and statistical approaches to add value to the business.
  5. Mentor junior engineers and scientists.

Skills

Required

  • Machine Learning
  • Natural Language Processing
  • Statistical Modeling
  • Data Analysis
  • Python
  • Java
  • C++

What the JD emphasized

  • one year of research or work experience in the job offered
  • one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering

Other signals

  • deploy ML models
  • ML and statistical approaches
  • data-driven models