Sr. Research Scientist, Private Brands Intelligence SCIT Science
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Job Location:
San Diego, CA - USA
Yearly Salary:
$ 143300 - 247600
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
The Private Brands team is looking for a Sr. Research Scientist to join the team in building science solutions at scale. Our team applies Optimization Machine Learning Statistics Causal Inference and Econometrics/Economics to derive actionable insights about the complex economy of Amazons retail business and develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Scientists Engineers PMTs and Economists.
Key job responsibilities
You will work with business leaders scientists and economists to translate business and functional requirements into concrete deliverables including the design development testing and deployment of highly scalable optimization solutions and ML models.
This is a unique high visibility opportunity for someone who wants to have business impact dive deep into large-scale problems enable measurable actions on the consumer economy and work closely with scientists and economists. As a Sr Scientist you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design clarity model structure efficiency and extensibility. You tackle intrinsically hard problems acquiring expertise as needed. You decompose complex problems into straightforward solutions.
We are particularly interested in candidates with experience in Operations Research ML and predictive models and working with distributed systems. Academic and/or practical background in Operations Research and Machine Learning specifically Reinforcement Learning are particularly relevant for this position.
To know more about Amazon science Please visit
About the team
We are a one pizza agile team of scientists focused on solving supply chain challenges for Amazon Private Brands products. We collaborate with Amazon central teams like SCOT and develop both central as well as APB-specific solutions to address various challenges including sourcing demand forecasting ordering optimization inventory distribution and inventory health management. Working closely with business stakeholders Product Management Teams (PMTs) and engineering partners we drive projects from initial concept through production deployment and ongoing monitoring.
- 5 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD or Masters degree and 5 years of quantitative field research experience
- Knowledge of R or Python
- Knowledge of AWS platforms such as S3 Glue Athena Sagemaker
- Experience conveying complex subject matter to clients and stakeholders
- Experience with discrete and continuous optimization methodologies and algorithms
- Experience mentoring coaching and influencing colleagues collaborators and stakeholders
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.
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 $143300/year in our lowest geographic market up to $247600/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.
Key job responsibilities
You will work with business leaders scientists and economists to translate business and functional requirements into concrete deliverables including the design development testing and deployment of highly scalable optimization solutions and ML models.
This is a unique high visibility opportunity for someone who wants to have business impact dive deep into large-scale problems enable measurable actions on the consumer economy and work closely with scientists and economists. As a Sr Scientist you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design clarity model structure efficiency and extensibility. You tackle intrinsically hard problems acquiring expertise as needed. You decompose complex problems into straightforward solutions.
We are particularly interested in candidates with experience in Operations Research ML and predictive models and working with distributed systems. Academic and/or practical background in Operations Research and Machine Learning specifically Reinforcement Learning are particularly relevant for this position.
To know more about Amazon science Please visit
About the team
We are a one pizza agile team of scientists focused on solving supply chain challenges for Amazon Private Brands products. We collaborate with Amazon central teams like SCOT and develop both central as well as APB-specific solutions to address various challenges including sourcing demand forecasting ordering optimization inventory distribution and inventory health management. Working closely with business stakeholders Product Management Teams (PMTs) and engineering partners we drive projects from initial concept through production deployment and ongoing monitoring.
- 5 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD or Masters degree and 5 years of quantitative field research experience
- Knowledge of R or Python
- Knowledge of AWS platforms such as S3 Glue Athena Sagemaker
- Experience conveying complex subject matter to clients and stakeholders
- Experience with discrete and continuous optimization methodologies and algorithms
- Experience mentoring coaching and influencing colleagues collaborators and stakeholders
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.
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 $143300/year in our lowest geographic market up to $247600/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.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
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