Applied Scientist II, QuBIT Midas
Applied Scientist II, QuBIT Midas
Posted on :
26-05-2025
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1 Vacancy
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Job Description
strives to be Earths most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the worlds brightest minds offering them a fast paced technologically sophisticated and friendly work environment.
Applied scientist at Amazon partner closely with senior management business stakeholders scientist and engineers to solve key business problems.
You will work in a fast moving environment to solve business problems as a member of cross-functional team embedded within a business unit. You will be expected to apply prediction and optimization methodologies to large data sets and to build scalable model production pipelines and contribute to the design of automated systems around the company.
Key job responsibilities
The Applied Scientist will be responsible for developing solutions to better predict and optimize the inbound and outbound volumes/backlogs in Amazons network world wide. This position requires complex analytical problem-solving quickly approach large ambiguous problems apply their technical knowledge to identify opportunities for further research and be able to build automated pipelines.
Candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving be able to measure and estimate risks constructively critique peer research and align research focuses with the Amazons strategic needs.
About the team
QuBIT Science (Midas team) is revolutionizing data-driven decision-making across Amazons operations. We specialize in delivering swift scientifically rigorous solutions that often fall outside the immediate scope of larger central science organizations.
Applied scientists at Amazon partner closely with senior management business stakeholders scientist and engineers to solve key business problems. You will work in a fast moving environment to solve business problems as a member of cross-functional team embedded within a business unit. You will be expected to apply prediction and optimization methodologies to large data sets and to build scalable model production pipelines and contribute to the design of automated systems around the company.
- 2 years of building models for business application experience
- PhD or Masters degree and 2 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 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.
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 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Applied scientist at Amazon partner closely with senior management business stakeholders scientist and engineers to solve key business problems.
You will work in a fast moving environment to solve business problems as a member of cross-functional team embedded within a business unit. You will be expected to apply prediction and optimization methodologies to large data sets and to build scalable model production pipelines and contribute to the design of automated systems around the company.
Key job responsibilities
The Applied Scientist will be responsible for developing solutions to better predict and optimize the inbound and outbound volumes/backlogs in Amazons network world wide. This position requires complex analytical problem-solving quickly approach large ambiguous problems apply their technical knowledge to identify opportunities for further research and be able to build automated pipelines.
Candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving be able to measure and estimate risks constructively critique peer research and align research focuses with the Amazons strategic needs.
About the team
QuBIT Science (Midas team) is revolutionizing data-driven decision-making across Amazons operations. We specialize in delivering swift scientifically rigorous solutions that often fall outside the immediate scope of larger central science organizations.
Applied scientists at Amazon partner closely with senior management business stakeholders scientist and engineers to solve key business problems. You will work in a fast moving environment to solve business problems as a member of cross-functional team embedded within a business unit. You will be expected to apply prediction and optimization methodologies to large data sets and to build scalable model production pipelines and contribute to the design of automated systems around the company.
- 2 years of building models for business application experience
- PhD or Masters degree and 2 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 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.
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 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. 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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