{"schemaVersion":"jobsearcher.job.v1","id":"7da0b4bc63393100fa2ab63d","url":"https://jobsearcher.com/jobs/7da0b4bc63393100fa2ab63d","canonicalUrl":"https://jobsearcher.com/jobs/7da0b4bc63393100fa2ab63d","title":"Applied Scientist, WWOS Tech","description":"Job ID: 10398364 | Amazon.com Services LLC\n\nHave you ever wanted to solve a mystery or be part of solving a case? Do you love to catch bad actors, build ML models, and solve complex problems? If so, working on the WWOS Tech team as a Senior Applied Scientist is the place for you! We detect theft, fraud and organized crime across Amazon's global supply chain and operations for millions of items, protecting billions of dollars of inventory worldwide. We foster game‑changing ideas to build intelligent and self‑learning systems that maximize cost savings from inventory losses.\n\nKey Responsibilities\n\nOwn KPIs that measure theft/fraud management performance and efficiencies.\n\nDetect and automate theft, fraud MOs.\n\nDetect organized crime rings and bad actor clusters.\n\nPerform end‑to‑end evaluation of operational defects, system gaps, and scaling challenges.\n\nContribute to the overall fraud management and product development strategies.\n\nPresent key learnings and vision to stakeholders and leadership.\n\nIntegrate ML detection models via software applications.\n\nBasic Qualifications\n\n5+ years of building machine learning models for business application.\n\nPhD, or Master’s degree with 6+ years of applied research experience.\n\nExperience programming in Java, C++, Python, or related languages.\n\nExperience with neural deep learning methods and machine learning.\n\nPreferred Qualifications\n\nExperience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.\n\nExperience with large‑scale distributed systems such as Hadoop, Spark, etc.\n\nAmazon 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.\n\nThe base salary range for this position is USD 167,100.00 – 226,100.00 annually (USA, WA, Seattle). Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-17T04:22:28.132Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist, WWOS Tech","description":"Job ID: 10398364 | Amazon.com Services LLC\n\nHave you ever wanted to solve a mystery or be part of solving a case? Do you love to catch bad actors, build ML models, and solve complex problems? If so, working on the WWOS Tech team as a Senior Applied Scientist is the place for you! We detect theft, fraud and organized crime across Amazon's global supply chain and operations for millions of items, protecting billions of dollars of inventory worldwide. We foster game‑changing ideas to build intelligent and self‑learning systems that maximize cost savings from inventory losses.\n\nKey Responsibilities\n\nOwn KPIs that measure theft/fraud management performance and efficiencies.\n\nDetect and automate theft, fraud MOs.\n\nDetect organized crime rings and bad actor clusters.\n\nPerform end‑to‑end evaluation of operational defects, system gaps, and scaling challenges.\n\nContribute to the overall fraud management and product development strategies.\n\nPresent key learnings and vision to stakeholders and leadership.\n\nIntegrate ML detection models via software applications.\n\nBasic Qualifications\n\n5+ years of building machine learning models for business application.\n\nPhD, or Master’s degree with 6+ years of applied research experience.\n\nExperience programming in Java, C++, Python, or related languages.\n\nExperience with neural deep learning methods and machine learning.\n\nPreferred Qualifications\n\nExperience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.\n\nExperience with large‑scale distributed systems such as Hadoop, Spark, etc.\n\nAmazon 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.\n\nThe base salary range for this position is USD 167,100.00 – 226,100.00 annually (USA, WA, Seattle). Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T04:22:28.132Z","dateModified":"2026-06-17T04:22:28.132Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7da0b4bc63393100fa2ab63d"},"url":"https://jobsearcher.com/jobs/7da0b4bc63393100fa2ab63d"}}