Sr. Applied Scientist, Amazon Private Brands
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics Amazon Essentials and by Amazon.
The Selection Guidance team applies Generative AI Machine Learning Statistics and Economics solutions to drive our private brands product assortment strategic business decisions and product inputs such as title price merchandising and ordering. We are an interdisciplinary team of Scientists Economists Engineers and Product Managers incubating and building day one solutions using novel technology to solve some of the toughest business problems at Amazon.
As a Sr. Applied Scientist you will invent novel solutions and prototypes and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution agentic AI large language models and product substitutes. You will review and guide scientists across the team on their designs and implementations and raise the team bar for science research and prototypes.
This is a unique high visibility opportunity for someone who wants to develop ambitious science solutions and have direct business and customer impact.
Key job responsibilities
- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
- Invent novel science solutions develop prototypes and deploy production software to solve business problems.
- Review and guide science solutions across the team.
- Publish and socialize your and the teams research across Amazon and external avenues as appropriate
- Leverage industry best practices to establish repeatable applied science practices principles & processes.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
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.
The base salary for this position ranges from $195900/year up to $327200/year. Salary is based on a number of factors and may vary depending on job-related knowledge skills and experience. 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. Applicants should apply via our internal or external career site.
The Selection Guidance team applies Generative AI Machine Learning Statistics and Economics solutions to drive our private brands product assortment strategic business decisions and product inputs such as title price merchandising and ordering. We are an interdisciplinary team of Scientists Economists Engineers and Product Managers incubating and building day one solutions using novel technology to solve some of the toughest business problems at Amazon.
As a Sr. Applied Scientist you will invent novel solutions and prototypes and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution agentic AI large language models and product substitutes. You will review and guide scientists across the team on their designs and implementations and raise the team bar for science research and prototypes.
This is a unique high visibility opportunity for someone who wants to develop ambitious science solutions and have direct business and customer impact.
Key job responsibilities
- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
- Invent novel science solutions develop prototypes and deploy production software to solve business problems.
- Review and guide science solutions across the team.
- Publish and socialize your and the teams research across Amazon and external avenues as appropriate
- Leverage industry best practices to establish repeatable applied science practices principles & processes.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
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.
The base salary for this position ranges from $195900/year up to $327200/year. Salary is based on a number of factors and may vary depending on job-related knowledge skills and experience. 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. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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