Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world's largest online marketplaces? Do you want to be at the forefront of developing innovative solutions that improve Amazon's customers experience? Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions?Per una comprensione completa di questa possibilità e dei requisiti per essere un candidato di successo, continui a leggere.If yes, we invite you to join the Amazon Customer Fulfillment & Prime analytics team. We're seeking an exceptional scientist who can revolutionize how we delight our customers. As a key member of our team, you'll develop and deploy machine learning systems that analyze millions of customer interactions daily, ensuring state of art experience for customers across 10 countries. Your work will directly impact the shopping experience for hundreds of millions of customers worldwide.Key job responsibilitiesAbility to work independently across the end-to-end ML lifecycle: feature engineering, modeling, and MLOps to productionize models.Strong foundation in machine learning and statistical modeling.Experience deploying ML solutions into a production environment.Apply machine learning and statistical techniques to create scalable abuse-detection solutions that identify fraudulent customer behavior, rings of accounts, identity change, holistic customer risk, and marketplace manipulation schemes.Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions.Collaborate with cross-functional teams to develop comprehensive ML/statistical models that scale to millions of customers across 10+ countries.Willing to travel to Mexico (MX) and Brazil (BR).Comfortable working CET hours to maintain overlap with Mexico and Brazil business teams.About the teamYou'll be working closely with business partners,



science and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems.You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.Basic Qualifications6+ years of data scientist experience6+ years of data querying languages (e.G. SQL), scripting languages (e.G. Python) or statistical/mathematical software (e.G. R, SAS, Matlab, etc.) experience6+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience5+ years of working with or evaluating AI systems experienceMaster's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)Preferred QualificationsPh.D. in Science, Technology, Engineering, or Mathematics (STEM)Knowledge of machine learning concepts and their application to reasoning and problem-solvingExperience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology companyExperience in defining and creating benchmarks for assessing GenAI model performanceExperience working on multi-team, cross-disciplinary projectsExperience applying quantitative analysis to solve business problems and making data-driven business decisionsExperience effectively communicating complex concepts through written and verbal communicationOur 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.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. xysqume Veterans, military spouses, and people with disabilities are encouraged to apply.#J-18808-Ljbffr

📌 Data Scientist Ii, Data Scientist, Ies Cfx & Prime (Asti)
🏢 Amazon
📍 Asti