senior Data Scientist ic 5+ yrs · Posted Jan 26, 2026
$159,200 – $215,300
USD per year

About this role

Amazon is hiring a senior-level Data Scientist based in Boston, MA. The posting calls out experience with Python, R, SQL, AWS and roughly 5+ years of relevant work. Compensation is listed at $159,200–$215,300 per year.

Role
Data Scientist
Function
data engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Boston, MA
Experience
5+ years
Department
Data Science
Posted
Jan 26, 2026
AI Summary
Senior Data Scientist developing ML models, AI agents, and optimization systems for Amazon Global Logistics pricing and fraud detection. Requires 5+ years with SQL/Python, collaborating across product, engineering, and operations teams to build production-ready solutions that drive revenue management and supply chain protection.

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Job description

from Amazon careers

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 A day in the life Your day might start with improving theft…

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