Sr. Research Scientist
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Job Location:
Bellevue, WA - USA
Yearly Salary:
$ 143300 - 247600
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Amazons Middle Mile Planning Research and Optimization Science group (mmPROS) is looking for a Senior Research Scientist specializing in design and evaluation of algorithms for predictive modeling and optimization applied to large-scale transportation planning systems. This includes the development of novel machine learning and causal modeling techniques to improve on marketplace optimization solutions.
Middle Mile Air and Ground transportation represents one of the fastest growing logistics areas within Amazon. Amazon Fulfillment Services transports millions of packages via air and ground and continues to grow year over year. The scale of this operation challenges Amazon to design build and operate robust transportation networks that minimize the overall operational cost while meeting all customer deadlines. The Middle Mile Planning Research and Optimization Science group is charged with developing an evolving suite of decision support and optimization tools to facilitate the design of efficient air and ground transport networks optimize the flow of packages within the network to efficiently align network capacity and shipment demand set prices and effectively utilize scarce resources such as aircraft and trucks. Time horizons for these tools vary from years and months for long-term planning to hours and minutes for near-term operational decision making and disruption recovery. These tools rely heavily on mathematical optimization stochastic simulation meta-heuristic and machine learning addition Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.
As an Applied Scientist responsible for middle mile transportation you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will create experiments and prototype implementations of new learning algorithms and prediction techniques. You will have exposure to top level leadership to present findings of your research. You will also work closely with other scientists and also engineers to implement your models within our production system. You will implement solutions that are exemplary in terms of algorithm design clarity model structure efficiency and extensibility and make decisions that affect the way we build and integrate algorithms across our product portfolio.
- 3 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
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
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 $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.
Middle Mile Air and Ground transportation represents one of the fastest growing logistics areas within Amazon. Amazon Fulfillment Services transports millions of packages via air and ground and continues to grow year over year. The scale of this operation challenges Amazon to design build and operate robust transportation networks that minimize the overall operational cost while meeting all customer deadlines. The Middle Mile Planning Research and Optimization Science group is charged with developing an evolving suite of decision support and optimization tools to facilitate the design of efficient air and ground transport networks optimize the flow of packages within the network to efficiently align network capacity and shipment demand set prices and effectively utilize scarce resources such as aircraft and trucks. Time horizons for these tools vary from years and months for long-term planning to hours and minutes for near-term operational decision making and disruption recovery. These tools rely heavily on mathematical optimization stochastic simulation meta-heuristic and machine learning addition Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.
As an Applied Scientist responsible for middle mile transportation you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will create experiments and prototype implementations of new learning algorithms and prediction techniques. You will have exposure to top level leadership to present findings of your research. You will also work closely with other scientists and also engineers to implement your models within our production system. You will implement solutions that are exemplary in terms of algorithm design clarity model structure efficiency and extensibility and make decisions that affect the way we build and integrate algorithms across our product portfolio.
- 3 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
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
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 $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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