What are the responsibilities and job description for the Senior Data Scientist, Amazon Global Logistics position at Amazon Science?
Description
Join Amazon Global Logistics (AGL) as a Senior Data Scientist on our Pricing & Science team. You'll develop machine learning models, AI agents, and optimization systems that serve businesses of all sizes in cross-border logistics. This role combines advanced machine learning with hands-on execution to establish AGL as a leading global freight provider.
You'll work on high-impact initiatives including agentic AI systems that drive marketing effectiveness and enable data-driven sales decisions, ML-powered fraud and theft detection models to protect Amazon's supply chain, revenue management systems incorporating real-time market signals and capacity constraints, and economic value models to quantify the business impact of logistics capabilities.
Key job responsibilities
Your day might start with improving theft detection model accuracy. You'll collaborate with scientists to enhance features for pricing models. You'll connect with stakeholders in international markets to evaluate new agentic marketing solutions.
You'll sync with applied scientists and engineering teams on productionizing models. You'll meet with operations to understand capacity forecasts and routing constraints. You'll work with security teams on theft detection workflows. You'll design new modeling approaches, run experiments, and present recommendations to stakeholders.
The role offers strategic thinking, hands-on model development, and tactical analysis in a fast-paced environment where you'll own significant technical initiatives.
About The Team
The AGL Pricing & Science team operates at the intersection of science, logistics, and business strategy. We're a diverse group of problem-solvers working to transform international freight forwarding.
Our team builds intelligent pricing systems, predicts and prevents seller churn, develops GenAI applications for operational intelligence, creates ML-powered fraud detection systems, builds routing optimization models, and prioritizes seller experience. We value data-driven decision making and innovation.
Our work protects millions in GMS and drives hundreds of millions in cost savings annually. We offer opportunities to make significant impact while working with AI technologies and systems at Amazon scale.
Basic Qualifications
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 159,200.00 - 215,300.00 USD annually
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually
Join Amazon Global Logistics (AGL) as a Senior Data Scientist on our Pricing & Science team. You'll develop machine learning models, AI agents, and optimization systems that serve businesses of all sizes in cross-border logistics. This role combines advanced machine learning with hands-on execution to establish AGL as a leading global freight provider.
You'll work on high-impact initiatives including agentic AI systems that drive marketing effectiveness and enable data-driven sales decisions, ML-powered fraud and theft detection models to protect Amazon's supply chain, revenue management systems incorporating real-time market signals and capacity constraints, and economic value models to quantify the business impact of logistics capabilities.
Key job responsibilities
- Collaborate with product, engineering, operations, and security teams to translate business problems into production-ready solutions
- Own end-to-end model development from exploratory analysis to deployment and monitoring
- Define, track, and explain success metrics to measure model impact and inform decision-making
- Build business cases to support science initiatives and model prioritization
- Develop ML-powered systems for marketing effectiveness, fraud detection, revenue management, and economic value modeling
- Write technical papers and submit work to internal and external conferences and publications
Your day might start with improving theft detection model accuracy. You'll collaborate with scientists to enhance features for pricing models. You'll connect with stakeholders in international markets to evaluate new agentic marketing solutions.
You'll sync with applied scientists and engineering teams on productionizing models. You'll meet with operations to understand capacity forecasts and routing constraints. You'll work with security teams on theft detection workflows. You'll design new modeling approaches, run experiments, and present recommendations to stakeholders.
The role offers strategic thinking, hands-on model development, and tactical analysis in a fast-paced environment where you'll own significant technical initiatives.
About The Team
The AGL Pricing & Science team operates at the intersection of science, logistics, and business strategy. We're a diverse group of problem-solvers working to transform international freight forwarding.
Our team builds intelligent pricing systems, predicts and prevents seller churn, develops GenAI applications for operational intelligence, creates ML-powered fraud detection systems, builds routing optimization models, and prioritizes seller experience. We value data-driven decision making and innovation.
Our work protects millions in GMS and drives hundreds of millions in cost savings annually. We offer opportunities to make significant impact while working with AI technologies and systems at Amazon scale.
Basic Qualifications
- 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
- Master's degree in computer science, engineering, mathematics or equivalent
- 5 years of data scientist experience
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience working with cross-functional teams across business development, marketing, operations, product development, legal, etc.
- Comfort navigating between strategic work and exploratory analysis
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience as a leader and mentor on a data science team
- 2 years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience documenting modeling for technical and business leaders
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 159,200.00 - 215,300.00 USD annually
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually