Applied Scientist II Amazon Stores Economics and Science SEAS
Applied Scientist II Amazon Stores Economics and Science SEAS
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazons Stores organization with a peakjumping mission: we leverage frontier science to collaborate with partner teams. We scale by solving problems first in the small to prove concepts and then in the large by building scalable solutions. In 2025 we are focused on developing emerging machine learning solutions (e.g. LLMs and causal ML) to understand substitutable products on Amazon.
We are looking for an Applied Scientist to build and deliver solutions to improve our Stores business. In this role you will work in a team of scientists economists and engineers with backgrounds in machine learning NLP IR statistics and economics to identify bottlenecks in our business conceive new ideas to overcome those challenges and deploy scientific solutions in partnership with product teams. Your responsibilities include developing and maintaining the scientific models benchmarks and services. Graduate education or handson experience in machine learning optimization causal inference Bayesian statistics deep learning or other quantitative scientific fields is a big plus. To be successful in this role you should be a quick learner and comfortable with a high degree of ambiguity.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming or scripting language like Python Java C or C
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for an Applied Scientist to build and deliver solutions to improve our Stores business. In this role you will work in a team of scientists economists and engineers with backgrounds in machine learning NLP IR statistics and economics to identify bottlenecks in our business conceive new ideas to overcome those challenges and deploy scientific solutions in partnership with product teams. Your responsibilities include developing and maintaining the scientific models benchmarks and services. Graduate education or handson experience in machine learning optimization causal inference Bayesian statistics deep learning or other quantitative scientific fields is a big plus. To be successful in this role you should be a quick learner and comfortable with a high degree of ambiguity.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming or scripting language like Python Java C or C
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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