Applied Scientist II - AMZ27580.1

Amazon; Omaha (NE); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon is seeking an Applied Scientist II to design, develop, evaluate, and deploy data-driven ML/NLP models in Nashville, TN. The role emphasizes building and deploying models on available data and researching novel ML approaches to add business value.

This full-time position includes mentoring junior engineers and scientists, with a standard schedule of 40 hours per week. Salary ranges from $136,000 to $184,000 per year, with Amazon's equal opportunity employment policies in effect.

Qualifications

• Master's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field with 1 year of research/work experience.
• One year of research or work experience in programming languages such as Java, C++, Python, or equivalent; and in developing ML models.
• Experience with supervised and unsupervised ML models for moderately complex projects in business, science, or engineering.

Responsibilities

• Participate in design, development, evaluation, deployment and updating of data-driven ML/NL models and analytical solutions.
• Routinely build and deploy ML models on available data and research novel ML approaches to add business value.
• Mentor junior engineers and scientists.

Skills

Java

C++

Python

ML

Education

Master's degree in CS/ML/Statistics

Job description

Job ID: 10483724 | Amazon.com Services LLC - A57

Employer: Amazon.com Services LLC

Position: Applied Scientist II - AMZ27580.1

Location: Nashville, TN

Multiple Positions Available:

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.

(40 hours / week, 8:00am-5:00pm, Salary Range $136000 - $184000)

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

Basic Qualifications

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. Employer will accept 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 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.

Preferred Qualifications

All applicants must meet all the above listed requirements.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.