Applied Scientist II - AMZ27057.1

Amazon•Boston, MA

36d•$161,803 - $193,200•Onsite

About The Position

This role involves participating 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. The position requires developing and/or applying statistical modeling techniques (e.g., Bayesian models and deep neural networks), optimization methods, and other ML techniques to various business and engineering applications. The scientist will routinely build and deploy ML models on available data, research and implement novel ML and statistical approaches to add business value, and mentor junior engineers and scientists.

Requirements

Master's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
Alternatively, a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and five years of research or work experience in a related occupation.
One year of research or work experience in programming in Java, C++, Python, or equivalent programming language.
One year of research or work experience in conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.

Responsibilities

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.
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.
Build and deploy ML models on available data.
Research and implement novel ML and statistical approaches to add value to the business.
Mentor junior engineers and scientists.