Applied Scientist - II Everyday Essentials Science
Applied Scientist - II Everyday Essentials Science
Posted on :
28-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
28-04-2025
Job Description
The Everyday Essentials team at Amazon is looking for an experienced and highly motivated Applied Scientist to solve complex problems around improving the profitability of Everyday Essential items offered through . These initiatives will enhance how Amazon connects customers with local inventory creating a more efficient shopping experience with faster delivery options for customers and lower operational costs for Amazon. The initiatives will improve Amazons retail operations by reducing the cost of delivering to customers and providing them with relevant and locally available purchase options at faster speeds. The Applied Scientist will determine which products benefit most from regional availability by analyzing customer preferences and supply chain conditions.
Key job responsibilities
* Scale optimization techniques to drive business value
* Design A/B tests and conduct statistical analysis on their results
* Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
* Present and publish science research contributing to Amazons science community
* Mentor junior engineers and scientists
* Work closely with internal stakeholders including business teams engineering teams and partner teams to align them with your focus area
About the team
Our team is highly crossfunctional and employs a wide array of scientific tools and techniques to solve key challenges including supervised and unsupervised machine learning nonconvex optimization causal inference natural language processing linear programming reinforcement learning and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products incorporating basket awareness and complementarityaware logic measuring speed sensitivity of products modeling network capacity constraints and supply and demand forecasting.
2 years of building models for business application experience
PhD or Masters degree and 4 years of building models for business application experience
Experience programming in Java C Python or related language
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Experience using Unix/Linux
Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
Pursuant to the San Francisco 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.
Key job responsibilities
* Scale optimization techniques to drive business value
* Design A/B tests and conduct statistical analysis on their results
* Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
* Present and publish science research contributing to Amazons science community
* Mentor junior engineers and scientists
* Work closely with internal stakeholders including business teams engineering teams and partner teams to align them with your focus area
About the team
Our team is highly crossfunctional and employs a wide array of scientific tools and techniques to solve key challenges including supervised and unsupervised machine learning nonconvex optimization causal inference natural language processing linear programming reinforcement learning and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products incorporating basket awareness and complementarityaware logic measuring speed sensitivity of products modeling network capacity constraints and supply and demand forecasting.
2 years of building models for business application experience
PhD or Masters degree and 4 years of building models for business application experience
Experience programming in Java C Python or related language
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Experience using Unix/Linux
Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
Pursuant to the San Francisco 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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