Amazon is hiring: Sr. Applied Scientist, Amazon Selling Partner Trust & Store In

Sr. Applied Scientist, Amazon Selling Partner Trust & Store Integrity Science Join the Amazon Risk Intelligence Science Team as a Sr. Applied Scientist to protect the largest online marketplace with advanced machine learning and statistical techniques. Key Job Responsibilities Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent seller behavior, account takeovers, and marketplace manipulation schemes. Innovate with the latest GenAI technology to build highly automated solutions for efficient seller verification, transaction monitoring, and risk assessment. Design, develop, and deploy end‑to‑end machine learning solutions in the Amazon production environment to prevent and detect sophisticated abuse patterns across the marketplace. Learn, explore, and experiment with the latest machine learning advancements to protect customer trust and maintain marketplace integrity while supporting legitimate selling partners. Collaborate with cross‑functional teams to develop comprehensive risk models that can adapt to evolving abuse patterns and emerging threats. About the Team You will work closely with business partners 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, and provide clear and compelling reports for your solutions. Basic Qualifications 4+ years of building machine learning models for business applications. PhD, or Master’s degree and 3+ years of applied research experience. Experience programming in Java, C++, Python or related language. Experience with neural deep learning methods and machine learning. 4+ years of applied research experience. Preferred Qualifications Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience with large‑scale distributed systems such as Hadoop, Spark, etc. Amazon 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Compensation ranges from $150,400 to $260,000 per year depending on location and experience. Additional equity, sign‑on payments, and benefits may be included. The position will remain posted until filled. Job ID: A3134314 #J-18808-Ljbffr