Applied Scientist II - AMZ9429240
Applied Scientist II - AMZ9429240
Posted on :
20-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON WEB SERVICES INC.
Offered Position: Applied Scientist II
Job Location: Seattle Washington
Job Number: AMZ9429240
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.
Position Requirements:
Masters degree or foreign equivalent degree 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 Bachelors degree or foreign equivalent degree in Computer Science Machine Learning Statistics 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 Masters degree and one year 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.
is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week 8:00am-5:00pm Salary Range $158339/year to $193200/year.
Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information visit:
#0000
Position Requirements:
Masters degree or foreign equivalent degree 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 Bachelors degree or foreign equivalent degree in Computer Science Machine Learning Statistics 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 Masters degree and one year 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
Please see job description and the position requirements above.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employer: AMAZON WEB SERVICES INC.
Offered Position: Applied Scientist II
Job Location: Seattle Washington
Job Number: AMZ9429240
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.
Position Requirements:
Masters degree or foreign equivalent degree 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 Bachelors degree or foreign equivalent degree in Computer Science Machine Learning Statistics 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 Masters degree and one year 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.
is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week 8:00am-5:00pm Salary Range $158339/year to $193200/year.
Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information visit:
#0000
Position Requirements:
Masters degree or foreign equivalent degree 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 Bachelors degree or foreign equivalent degree in Computer Science Machine Learning Statistics 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 Masters degree and one year 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
Please see job description and the position requirements above.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
