Offers “Amazon”

Expires soon Amazon

Applied Scientist II - AMZ4334

  • Internship
  • Seattle (King)
  • Design / Civil engineering / Industrial engineering

Job description



DESCRIPTION

MULTIPLE POSITIONS AVAILABLE

Entity: Amazon.com Services LLC

Title: Applied Scientist II

Worksite: Seattle, WA

Position 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. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000

PREFERRED QUALIFICATIONS

Please see job description and position requirements above.

Desired profile



BASIC QUALIFICATIONS

Position Requirements:

Master’s degree or foreign equivalent in Computer Science, Finance, 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. Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Finance, 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. Must have 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. Domestic and international travel required up to 20%

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