Research Scientist II QuBIT Midas
Research Scientist II QuBIT Midas
Posted on :
23-04-2025
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1 Vacancy
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Job Description
strives to be Earths most customercentric 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.
Research 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 crossfunctional team embedded within a business unit. You will be expected to apply optimization methodologies and ML models to large data sets address optimization problems and contribute to the design of automated systems around the company. We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the inbound and outbound backlogs in Amazons network world wide. This position requires superior analytical thinkers able to quickly approach large ambiguous problems and apply their technical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fastpaced 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.
Key job responsibilities
We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the inbound and outbound backlogs in Amazons network world wide. This position requires superior analytical thinkers able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fastpaced 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 datadriven decisionmaking across Amazons operations. We specialize in delivering swift scientifically rigorous solutions that often fall outside the immediate scope of larger central science organizations.
We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the inbound and outbound backlogs in Amazons network world wide.
The successful applicant will be passionate about executing endtoend science projects applying advanced scientific methods to operational data to solve complex business challenges. This role offers a unique opportunity to directly impact Amazons operational efficiency through optimization modelling.
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Masters degree or above in operations research applied mathematics theoretical computer science or equivalent
Experience in machine learning statistics and deep learning
Knowledge of machine learning processing: computer vision NLU NLP or operations research
PhD in operations research applied mathematics theoretical computer science or equivalent
Experience in quantitative field research
Experience with various machine learning techniques and parameters that affect their performance
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.
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 $212800/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.
Research 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 crossfunctional team embedded within a business unit. You will be expected to apply optimization methodologies and ML models to large data sets address optimization problems and contribute to the design of automated systems around the company. We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the inbound and outbound backlogs in Amazons network world wide. This position requires superior analytical thinkers able to quickly approach large ambiguous problems and apply their technical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fastpaced 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.
Key job responsibilities
We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the inbound and outbound backlogs in Amazons network world wide. This position requires superior analytical thinkers able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fastpaced 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 datadriven decisionmaking across Amazons operations. We specialize in delivering swift scientifically rigorous solutions that often fall outside the immediate scope of larger central science organizations.
We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the inbound and outbound backlogs in Amazons network world wide.
The successful applicant will be passionate about executing endtoend science projects applying advanced scientific methods to operational data to solve complex business challenges. This role offers a unique opportunity to directly impact Amazons operational efficiency through optimization modelling.
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Masters degree or above in operations research applied mathematics theoretical computer science or equivalent
Experience in machine learning statistics and deep learning
Knowledge of machine learning processing: computer vision NLU NLP or operations research
PhD in operations research applied mathematics theoretical computer science or equivalent
Experience in quantitative field research
Experience with various machine learning techniques and parameters that affect their performance
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.
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 $212800/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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