About the job
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.
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
Qualifications
Minimum
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
Preferred
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