Senior Data Scientist, Amazon Global Logistics

Amazon • Boston, MA

4d

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level