OverviewJob ID: 3095718 | Amazon.com Services LLCRevolutionize logistics through groundbreaking data science at Amazon. We are seeking an innovative problem-solver to transform complex global logistics challenges using advanced analytics and artificial intelligence. Your work will directly impact how millions of packages move worldwide, leveraging cutting-edge machine learning, Large Language Models (LLMs), and predictive technologies to optimize our intricate delivery networks. Our team empowers data-driven decision-making by developing sophisticated analytical solutions that bridge operational insights with strategic vision. You will design scalable models, implement advanced AI technologies, and create transformative recommendations that reshape logistics efficiency at a global scale.A day in the lifeAs a Data Scientist in our R2L team, you will immerse yourself in intricate data ecosystems, uncovering patterns and opportunities that can revolutionize package delivery. Your daily work will involve exploring massive datasets, developing analytical approaches, building production pipelines, and transforming raw information into strategic intelligence.About the teamWe are a dynamic collective of data enthusiasts dedicated to optimizing Amazon's logistics infrastructure. Our team operates at the intersection of technology, operations, and strategic innovation, working collaboratively to create more intelligent, responsive, and efficient delivery systems.ResponsibilitiesBuild sophisticated machine learning models and production pipelines to analyze complex logistics dataDevelop advanced AI solutions using Python, AWS tools, and technologies like Large Language ModelsSynthesize information from diverse data sources to generate meaningful, actionable business insightsCollaborate with cross-functional teams to translate complex technical findings into strategic recommendationsDesign and implement optimization strategies that enhance network performance and operational efficiencyBasic Qualifications5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab)5+ years of data science experienceExperience with statistical models such as multinomial logistic regressionMaster's degree in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, computer science) or a Bachelor's degree with 8+ years of professional or military experienceStrong background in data extraction, analysis, and communicationExpertise in AWS tools and AI-focused technologiesPreferred Qualifications2+ years of data visualization experience (AWS QuickSight, Tableau, R Shiny, etc.)Experience as a leader and mentor on a data science teamExperience designing, building and managing data pipelinesKnowledge of AWS tech stack (e.g., Redshift, S3, EC2, Glue)Experience working with scientists, economists, software developers, or product managersExperience collaborating with data engineers and BI engineersAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.Location: ES, Community of Madrid, MadridPosted: October 3, 2024 (Updated 4 months ago)Posted: September 3, 2025 (Updated about 1 month ago)Posted: June 6, 2025 (Updated about 1 month ago)Posted: November 7, 2024 (Updated 13 days ago)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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