Sr Data Scientist Intelligence Industrialization
Sr Data Scientist Intelligence Industrialization
Posted on :
01-05-2025
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1 Vacancy
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Job Description
Have you ever wondered how Amazon designs and builds its vast transportation and supply chain network Do you get excited about optimizing global supply chain operations to reduce costs and enhance efficiency If you thrive in a fastpaced environment and are eager to make a significant impact on a global scale we want to hear from you!
We are the Intelligence & Industrialization (I&I) team within the Global Supply Chain and Transportation Procurement/ Amazon Customs & Trade (GSCTP/ ACT) organization at the forefront of 3P transportation logistics procurement and customs & trade operations. We are seeking an experienced and talented data scientist passionate about applying science and machine learning techniques to uncover actionable insights for business decisionmaking. Examples of these decisions include configuring contractual stipulations negotiating optimal terms with vendors and minimizing trade penalty risks and operational delays in customs clearance.
The successful candidate must work from concept to with minimal guidance influence system and process changes with science thought leadership and make tradeoff recommendations for shortterm vs. longterm business needs.
Key job responsibilities
Work closely with business stakeholders to identify data science use cases build consensus on project priorities based on data availability science applicability implementation challenges and business impact.
Lead large data science projects with significant business impact requiring expertise in both business and technical domains.
Conduct advanced statistical analyses to uncover causal and other relationships among business metrics and operational characteristics.
Design and develop robust forecasting models for freight rates customer demand and transportation capacity across various dimensions such as geography and mode.
Build and implement robust ML models for customer segmentation profitability maximization performance outlier identification and risk prediction.
Leverage stateoftheart LLM models to build AI tools that reduce manual processes and increase business productivity such as extracting key terms from vendor contracts answering SOP and business review questions and writing narratives and executive summaries.
Educate nontechnical business audience on complex modeling concepts and explain modeling results implications and performance in an accessible manner.
Collaborate with BIEs DEs and other scientists to design and implement endtoend software solutions powered by science
Coach junior scientists and mentor fellow data team members in data science best practices methodologies techniques and trends.
About the team
The Intelligence & Industrialization (I&I) Team is a functional data analytics sub team embedded across GSCTP & ACT.
Global Supply Chain and Transportation Procurement (GSCTP) is an organization under worldwide operations that manages over 100 thirdparty supply chain and transportation service providers for Amazon; holding strategic relationships with major providers across modes of transportation and responsible for an annual spend in excess of $22B. GSCTPs mission is to secure capacity from thirdparty providers increase cost efficiencies of the business expand supplier capabilities and improve the quality of our products and services.
Amazon Customs & Trade (ACT) is an expanding business unit under worldwide operations for Customs Brokerage services. Customs brokerage involves the coordination of a complex network of sellers shippers logistics service providers (LSP) compliance and government authorities to facilitate clearance of goods for crossborder transportation. Timely submission of documents and coordination with customs agents to ensure hassle free clearance of shipments is a crucial step in the logistics process to ensure ontime delivery of products to our customers.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Masters degree
3 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Experience working with data engineers and business intelligence engineers collaboratively
Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
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 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.
We are the Intelligence & Industrialization (I&I) team within the Global Supply Chain and Transportation Procurement/ Amazon Customs & Trade (GSCTP/ ACT) organization at the forefront of 3P transportation logistics procurement and customs & trade operations. We are seeking an experienced and talented data scientist passionate about applying science and machine learning techniques to uncover actionable insights for business decisionmaking. Examples of these decisions include configuring contractual stipulations negotiating optimal terms with vendors and minimizing trade penalty risks and operational delays in customs clearance.
The successful candidate must work from concept to with minimal guidance influence system and process changes with science thought leadership and make tradeoff recommendations for shortterm vs. longterm business needs.
Key job responsibilities
Work closely with business stakeholders to identify data science use cases build consensus on project priorities based on data availability science applicability implementation challenges and business impact.
Lead large data science projects with significant business impact requiring expertise in both business and technical domains.
Conduct advanced statistical analyses to uncover causal and other relationships among business metrics and operational characteristics.
Design and develop robust forecasting models for freight rates customer demand and transportation capacity across various dimensions such as geography and mode.
Build and implement robust ML models for customer segmentation profitability maximization performance outlier identification and risk prediction.
Leverage stateoftheart LLM models to build AI tools that reduce manual processes and increase business productivity such as extracting key terms from vendor contracts answering SOP and business review questions and writing narratives and executive summaries.
Educate nontechnical business audience on complex modeling concepts and explain modeling results implications and performance in an accessible manner.
Collaborate with BIEs DEs and other scientists to design and implement endtoend software solutions powered by science
Coach junior scientists and mentor fellow data team members in data science best practices methodologies techniques and trends.
About the team
The Intelligence & Industrialization (I&I) Team is a functional data analytics sub team embedded across GSCTP & ACT.
Global Supply Chain and Transportation Procurement (GSCTP) is an organization under worldwide operations that manages over 100 thirdparty supply chain and transportation service providers for Amazon; holding strategic relationships with major providers across modes of transportation and responsible for an annual spend in excess of $22B. GSCTPs mission is to secure capacity from thirdparty providers increase cost efficiencies of the business expand supplier capabilities and improve the quality of our products and services.
Amazon Customs & Trade (ACT) is an expanding business unit under worldwide operations for Customs Brokerage services. Customs brokerage involves the coordination of a complex network of sellers shippers logistics service providers (LSP) compliance and government authorities to facilitate clearance of goods for crossborder transportation. Timely submission of documents and coordination with customs agents to ensure hassle free clearance of shipments is a crucial step in the logistics process to ensure ontime delivery of products to our customers.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Masters degree
3 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Experience working with data engineers and business intelligence engineers collaboratively
Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
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 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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