Senior Data Scientist, Amazon Global Logistics

Senior Data Scientist, Amazon Global Logistics

Job ID: | Amazon.com Services LLC

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

A Day in the Life

Your day might start with improving theft detection model accuracy. You’ll collaborate with scientists to enhance features for pricing models, connect with stakeholders in international markets to evaluate new agentic marketing solutions, sync with applied scientists and engineering teams on productionizing models, meet with operations to understand capacity forecasts and routing constraints, work with security teams on theft detection workflows, design new modeling approaches, run experiments, and present recommendations to stakeholders.

Basic Qualifications

• 5+ years experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, MATLAB, etc.)
• Master’s degree in computer science, engineering, mathematics or equivalent
• 5+ years 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 Qualifications

• 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

Benefits and Compensation

The base salary range for this position is $159,200.00 – $215,300.00 USD annually. 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, 401(k) matching, paid time off, and parental leave.

Locations

• USA, MA, Boston – $159,200.00 – $215,300.00 USD annually
• USA, WA, Bellevue – $159,200.00 – $215,300.00 USD annually

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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