Applied Scientist, AWS Payments and Fraud Prevention
Amazon Development Center U.S., Inc.
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This role on the market
157 open prevention roles across 41 companies are on ApplySarthi right now, most of them in Bengaluru (10), Hyderabad (3), Mumbai (2).
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What prevention roles keep asking for: Excel (46%), Supply chain (45%) — counted across their open postings here.
Applied Scientist jobs in the United States · Applied Scientist jobs in Seattle · Remote Applied Scientist jobs · AWS jobs · C++ jobs · Deep learning jobs · Generative AI jobs
Amazon Development Center U.S., Inc. has 550 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for prevention roles keep coming back to Excel, Supply chain. Practise those questions before you sit with Amazon Development Center U.S., Inc..
Questions you are likely to be asked
- Why do you want to join Amazon Development Center U.S., Inc.?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Applied Scientist, AWS Payments and Fraud Prevention at Amazon Development Center U.S., Inc. interview free →Are you passionate about solving complex problems and protecting one of the world’s largest cloud platforms? The AWS Payments and Fraud Prevention team is looking for an innovative Applied Scientist to Basic qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred: - Experience in fraud detection, cybersecurity, anomaly detection, risk modeling, or adversarial machine learning. - Hands-on experience applying GenAI techniques such as synthetic data generation, adversarial simulation, or large language model (LLM) insights. - Ability to collaborate across multidisciplinary teams and clearly communicate technical concepts to non-technical audiences. 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
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Listed on amazon · posted 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Development Center U.S., Inc., not by us.