Do you want to join an innovative team of scientists applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience?Prima di candidarsi per questo ruolo, la preghiamo di leggere le seguenti informazioni su questa possibilità, riportate di seguito.Are you excited about modeling terabytes of data and building state-of-the-art algorithms to solve complex, real-world fraud and risk challenges?Do you enjoy owning end-to-end machine learning problems, directly influencing customer experience and company profitability, while collaborating in a diverse, high-performing team?If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to design, develop, and deploy advanced algorithmic systems that safeguard millions of transactions every day.In this role, you will independently drive model development from problem formulation to production deployment, build scalable ML solutions, and leverage emerging technologies—including Generative AI and LLMs—to enhance fraud detection and next-generation risk prevention systems.Own end-to-end development of machine learning models for large-scale risk management systemsAnalyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trendsDesign, develop, validate, and deploy innovative models to production environmentsApply GenAI/LLM technologies to automate risk evaluation and improve operational efficiencyCollaborate closely with software engineering teams to implement scalable,



real-time model solutionsPartner with operations and business stakeholders to translate risk insights into measurable impactEstablish scalable and automated processes for data analysis, model experimentation, validation, and monitoringTrack model performance and business metrics; communicate insights clearly to technical and non-technical stakeholdersResearch and implement novel machine learning and statistical methodologiesBasic Qualifications3+ years of building models for business application experiencePhD, or Master's degreeExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPreferred QualificationsExperience using Unix/LinuxExperience in professional software developmentExperience in software development and deliveryOur 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.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

📌 Applied Scientist Ii, Buyer Risk Prevention (Asti)
🏢 Amazon
📍 Asti