Amazon
Job ID: 3095718 | Amazon.com Services LLC
Overview Revolutionize logistics through groundbreaking data science at Amazon. We are seeking an innovative problem-solver who will transform complex global logistics challenges using advanced analytics and artificial intelligence. Your work will directly impact how millions of packages move worldwide, leveraging cutting-edge machine learning, Large Language Models (LLMs), and predictive technologies to optimize our intricate delivery networks. Our team empowers data-driven decision-making by developing sophisticated analytical solutions that bridge operational insights with strategic vision. You will have the opportunity to design scalable models, implement advanced AI technologies, and create transformative recommendations that reshape logistics efficiency at a global scale.
Responsibilities
Build sophisticated machine learning models and production pipelines to analyze complex logistics data
Develop advanced AI solutions using Python, AWS tools, and emerging technologies like Large Language Models
Synthesize information from diverse data sources to generate meaningful, actionable business insights
Collaborate with cross-functional teams to translate complex technical findings into strategic recommendations
Design and implement optimization strategies that enhance network performance and operational efficiency
A day in the life As a Data Scientist in our R2L team, you'll immerse yourself in intricate data ecosystems, uncovering hidden patterns and opportunities that can revolutionize package delivery. Your daily work will involve exploring massive datasets, developing innovative analytical approaches, building production pipelines and transforming raw information into strategic intelligence.
About the team We are a dynamic collective of data enthusiasts dedicated to optimizing Amazon's logistics infrastructure. Our team operates at the intersection of technology, operations, and strategic innovation, working collaboratively to create more intelligent, responsive, and efficient delivery systems.
Basic Qualifications
5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
5+ years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Master's degree in a quantitative field or Bachelor's degree with 8+ years of professional/military experience
Strong background in data extraction, analysis, and communication
Expertise in AWS tools and AI-focused technologies
Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
Experience as a leader and mentor on a data science team
Experience designing, building and managing data pipelines
Knowledge of AWS tech stack (e.g., Redshift, S3, EC2, Glue)
Experience working with scientists, economists, software developers, or product managers
Experience working with data engineers and BI engineers collaboratively
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted:
September 23, 2025 (Updated about 11 hours ago)
Posted:
September 9, 2025 (Updated about 12 hours ago)
Posted:
September 8, 2025 (Updated about 12 hours ago)
Posted:
August 19, 2025 (Updated about 12 hours ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Overview Revolutionize logistics through groundbreaking data science at Amazon. We are seeking an innovative problem-solver who will transform complex global logistics challenges using advanced analytics and artificial intelligence. Your work will directly impact how millions of packages move worldwide, leveraging cutting-edge machine learning, Large Language Models (LLMs), and predictive technologies to optimize our intricate delivery networks. Our team empowers data-driven decision-making by developing sophisticated analytical solutions that bridge operational insights with strategic vision. You will have the opportunity to design scalable models, implement advanced AI technologies, and create transformative recommendations that reshape logistics efficiency at a global scale.
Responsibilities
Build sophisticated machine learning models and production pipelines to analyze complex logistics data
Develop advanced AI solutions using Python, AWS tools, and emerging technologies like Large Language Models
Synthesize information from diverse data sources to generate meaningful, actionable business insights
Collaborate with cross-functional teams to translate complex technical findings into strategic recommendations
Design and implement optimization strategies that enhance network performance and operational efficiency
A day in the life As a Data Scientist in our R2L team, you'll immerse yourself in intricate data ecosystems, uncovering hidden patterns and opportunities that can revolutionize package delivery. Your daily work will involve exploring massive datasets, developing innovative analytical approaches, building production pipelines and transforming raw information into strategic intelligence.
About the team We are a dynamic collective of data enthusiasts dedicated to optimizing Amazon's logistics infrastructure. Our team operates at the intersection of technology, operations, and strategic innovation, working collaboratively to create more intelligent, responsive, and efficient delivery systems.
Basic Qualifications
5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
5+ years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Master's degree in a quantitative field or Bachelor's degree with 8+ years of professional/military experience
Strong background in data extraction, analysis, and communication
Expertise in AWS tools and AI-focused technologies
Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
Experience as a leader and mentor on a data science team
Experience designing, building and managing data pipelines
Knowledge of AWS tech stack (e.g., Redshift, S3, EC2, Glue)
Experience working with scientists, economists, software developers, or product managers
Experience working with data engineers and BI engineers collaboratively
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted:
September 23, 2025 (Updated about 11 hours ago)
Posted:
September 9, 2025 (Updated about 12 hours ago)
Posted:
September 8, 2025 (Updated about 12 hours ago)
Posted:
August 19, 2025 (Updated about 12 hours ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr