19 ott - Roma
Amazon
Senior Data Scientist, Amazon Global LogisticsJob ID: | Amazon.Com Services LLCJoin 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 solutionsOwn end‑to‑end model development from exploratory analysis to deployment and monitoringDefine, track, and explain success metrics to measure model impact and inform decision‑makingBuild business cases to support science initiatives and model prioritizationDevelop ML‑powered systems for marketing effectiveness, fraud detection, revenue management, and economic value modelingWrite technical papers and submit work to internal and external conferences and publications
A Day in the LifeYour 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 equivalent5+ years data scientist experienceExperience 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 processingExperience 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 team2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experienceExperience documenting modeling for technical and business leaders
Benefits and CompensationThe 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 annuallyUSA, 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.Amazon’s 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.#J-18808-Ljbffr
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