h3Data Scientist II, Amazon FinAuto - Lantern /h3 pReady to Transform Amazon's Procurement Systems? /p pAre you passionate about building scalable solutions that impact how Amazonians get their work done? Join us in revolutionizing Amazon's procurement technology landscape through advanced analytics and machine learning. /p pWe're seeking a talented Data Scientist to help build the next generation of procurement applications from the ground up. This is your opportunity to work on high-impact systems that combine advanced search capabilities, AI-powered assistance. /p h3About This Role /h3 pAs a Data Scientist in the Global Corporate Procurement (GCP) Tech team, you'll be instrumental in building modern, AI/ML-powered applications that transform Amazon's procurement systems. You'll work on a greenfield initiative to create innovative solutions leveraging machine learning, natural language processing, and predictive analytics that make procurement faster, smarter, and more intuitive for Amazonians worldwide. /p pThis role offers the unique opportunity to develop data-driven systems leveraging AI/ML services, modern statistical modeling techniques, and generative AI capabilities. You'll collaborate with experienced data scientists, engineers, and cross-functional partners to deliver solutions that will eventually serve Amazon's global workforce. /p h3What You'll Do /h3 pYou’ll design, develop, and deploy scalable machine learning models and data pipelines that power Amazon's procurement ecosystem. Working in an agile environment, you’ll take ownership of analytical solutions from conception through production deployment, contributing to technical decisions alongside experienced data scientists and engineers. /p pYour work will directly impact the daily experience of Amazonians as they procure goods and services. Through collaboration with product managers, UX designers, and fellow data scientists,



you’ll translate complex business requirements into elegant data-driven solutions using advanced analytics, NLP, and AI/ML techniques. /p h3Key job responsibilities /h3 ul liUse data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making /li liIdentify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction /li liIdentify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations /li liCollaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity /li liAnalyze and solve business problems at their root /li /ul h3Basic Qualifications /h3 ul li2+ years of data scientist experience /li li3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience /li li3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience /li li1+ years of guiding and coaching a group of researchers experience /li li1+ years of working with or evaluating AI systems experience /li li1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience /li liMaster's degree in Science, Technology, Engineering,



or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) /li liExperience applying theoretical models in an applied environment /li /ul h3Preferred Qualifications /h3 ul liPh.D. in Science, Technology, Engineering, or Mathematics (STEM) /li liKnowledge of machine learning concepts and their application to reasoning and problem-solving /li liExperience in Python, Perl, or another scripting language /li liExperience in a ML or data scientist role with a large technology company /li liExperience in defining and creating benchmarks for assessing GenAI model performance /li liExperience working on multi-team, cross-disciplinary projects /li liExperience applying quantitative analysis to solve business problems and making data-driven business decisions /li liExperience effectively communicating complex concepts through written and verbal communication /li /ul pOur 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. /p pbPosted: /b August 25, 2026 (Updated 6 days ago) /p pbPosted: /b July 1, 2026 (Updated 7 days ago) /p pbPosted: /b August 19, 2026 (Updated 7 days ago) /p pbPosted: /b June 19, 2026 (Updated 7 days ago) /p pbPosted: /b September 29, 2026 (Updated 8 days ago) /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. /p #J-18808-Ljbffr

📌 Data Scientist II, Amazon FinAuto - Lantern (Asti)
🏢 Amazon
📍 Asti