Data Scientist II, Transportation Execution
Data Scientist II, Transportation Execution
Posted on :
13-08-2025
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1 Vacancy
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Job Description
Amazon is seeking a candidate to identify develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American transportation network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide.
As a Data Scientist for the US Speed team you will work with business science and analytics teams across the company to build state of the art data products to improve delivery speed for our customers. Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and lower cost of this role you will develop scalable mathematical models to derive solution to existing network structure and create evaluation methods to track the performance and identify areas of improvements.
Key job responsibilities
Key job responsibilities
- Research and use of statistical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key features and processes and build new data analysis products
- Work closely with scientists and engineering teams to create and deploy new features
- Establish scalable efficient automated processes for large scale data analyses model development validation and implementation.
- Evaluate cross-team perspectives use quantitative methods to derive justification and build consensus on a roadmap on the required level of analyses to meet goal
- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience with design deployment and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
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 $125500/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 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.
As a Data Scientist for the US Speed team you will work with business science and analytics teams across the company to build state of the art data products to improve delivery speed for our customers. Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and lower cost of this role you will develop scalable mathematical models to derive solution to existing network structure and create evaluation methods to track the performance and identify areas of improvements.
Key job responsibilities
Key job responsibilities
- Research and use of statistical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key features and processes and build new data analysis products
- Work closely with scientists and engineering teams to create and deploy new features
- Establish scalable efficient automated processes for large scale data analyses model development validation and implementation.
- Evaluate cross-team perspectives use quantitative methods to derive justification and build consensus on a roadmap on the required level of analyses to meet goal
- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience with design deployment and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
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 $125500/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 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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