Applied Scientist III - AMZ9675101

Amazon • Chicago, IL

23d

About The Position

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, and run and
analyze experiments in a production environment. Identify new opportunities for
research in order to meet business goals. Research and implement novel ML and
statistical approaches to add value to the business. Mentor junior engineers and
scientists.

Position Requirements:

Master’s degree or foreign equivalent degree in Computer Science, Machine
Learning, Engineering, or a related field and two years of research or work
experience in the job offered, or as a Research Scientist, Research Assistant,
Software Engineer, or a related occupation. Employer will accept a Bachelor’s
degree or foreign equivalent degree in Computer Science, Machine Learning,
Engineering, or a related field and five years of progressive post-baccalaureate
research or work experience in the job offered or a related occupation as
equivalent to the Master’s degree and two years of research or work experience.
Must have one year of research or work experience in the following skill(s): (1)
programming in Java, C++, Python, or equivalent programming language; and (2)
conducting the analysis and development of various supervised and unsupervised
machine learning models for moderately complex projects in business, science, or
engineering.#0000 Basic Qualifications:
Position Requirements:

Master’s degree or foreign equivalent degree in Computer Science, Machine
Learning, Engineering, or a related field and two years of research or work
experience in the job offered, or as a Research Scientist, Research Assistant,
Software Engineer, or a related occupation. Employer will accept a Bachelor’s
degree or foreign equivalent degree in Computer Science, Machine Learning,
Engineering, or a related field and five years of progressive post-baccalaureate
research or work experience in the job offered or a related occupation as
equivalent to the Master’s degree and two years of research or work experience.
Must have one year of research or work experience in the following skill(s): (1)
programming in Java, C++, Python, or equivalent programming language; and (2)
conducting the analysis and development of various supervised and unsupervised
machine learning models for moderately complex projects in business, science, or
engineering.#0000 Preferred Qualifications: Please see job description and the
position requirements above.

Requirements

• Master’s degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
• Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master’s degree and two years of research or work experience.
• Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) 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.
• Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment.
• Identify new opportunities for research in order to meet business goals.
• Research and implement novel ML and statistical approaches to add value to the business.
• Mentor junior engineers and scientists.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level