Applied Scientist II - AMZ27057.1

About the role

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. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business.

Responsibilities

• 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.
• Routinely 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.

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.
• 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.

Qualifications

• 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 as equivalent to the Master's degree and one year of research or work experience.

Skills

• 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.

Benefits

• A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.

Pay

• The pay range for this position in Boston, MA is $161803 - $193200 (yr).

Schedule

• (40 hours / week, 8:00am-5:00pm)