Sr. Research Scientist, Global Fleet Product
Sr. Research Scientist, Global Fleet Product
Posted on :
23-06-2025
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1 Vacancy
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Job Description
Amazon is building the largest Electric Vehicle (EV) delivery fleet and charging network in the world as part of our Climate Pledge. The Global Fleet and Products (GFP) Electrification & Infrastructure (E&I) team is responsible for accelerating Amazons electrification and facilitating the successful transition of our delivery fleet to achieve net zero-emissions in support of The Climate Pledge. This role sits on the Planning and Data Systems team within GFP E&I. Our mission is to install the right EV chargers at the right place at the right time to enable the most cost optimized solution to delivery electrification. Our team builds the disciplinary science and data tools necessary to support electrification and guide investment decisions for GFP.
We are seeking a talented and innovative research scientist with a passion for building enterprise science solutions and infrastructure components that are highly scalable extensible and robust. In this role you will help us optimize our infrastructure planning trading costs between different operational levers technologies and business needs. You will also help model the impact new innovations in charging planning operations will have on our business. This individual needs to partner with engineering analytics operations and product teams across three large organizations.
Key job responsibilities
You will immerse yourself at the intersection of operations hardware software and simulation systems to develop long term electrification strategies across Last Mile and Middle Mile businesses. Youll need to be familiar with AWS services (Glue EMR S3 Lambda Redshift QuickSight SageMaker etc.) operations research optimization models and be able to drive best practices with continuous improvement and development.
- 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
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Deep knowledge of Operations Research such as mixed-integer linear programming stochastic programming simulation. And experience with mathematical programming software packages like Xpress CPLEX or Gurobi.
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
- Knowledge of R or Python
- Experience applying OR tools to ambiguous business problems particularly around EV chargers
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.
We are seeking a talented and innovative research scientist with a passion for building enterprise science solutions and infrastructure components that are highly scalable extensible and robust. In this role you will help us optimize our infrastructure planning trading costs between different operational levers technologies and business needs. You will also help model the impact new innovations in charging planning operations will have on our business. This individual needs to partner with engineering analytics operations and product teams across three large organizations.
Key job responsibilities
You will immerse yourself at the intersection of operations hardware software and simulation systems to develop long term electrification strategies across Last Mile and Middle Mile businesses. Youll need to be familiar with AWS services (Glue EMR S3 Lambda Redshift QuickSight SageMaker etc.) operations research optimization models and be able to drive best practices with continuous improvement and development.
- 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
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Deep knowledge of Operations Research such as mixed-integer linear programming stochastic programming simulation. And experience with mathematical programming software packages like Xpress CPLEX or Gurobi.
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
- Knowledge of R or Python
- Experience applying OR tools to ambiguous business problems particularly around EV chargers
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:
Exec
Employment Type
Full-Time
Key Skills
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