Applied Science Manager, Seller Partner Trust and Store Integrity Science - Global Risk Intelligence and Prevention
Amazon
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This role on the market
777 open intelligence roles across 179 companies are on ApplySarthi right now, most of them in Bengaluru (43), Hyderabad (35), Chennai (8).
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What intelligence roles keep asking for: Python (39%), SQL (30%), AWS (23%), Machine learning (18%), Tableau (16%), Stakeholder management (15%), Product management (14%), Data modelling (14%) — counted across their open postings here.
Applied Science Manager jobs in the United States · Computer vision jobs · Deep learning jobs · Machine learning jobs · NLP jobs
Amazon has 16,544 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
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Practise the Applied Science Manager, Seller Partner Trust and Store Integrity Science - Global Risk Intelligence and Prevention at Amazon interview free →We are looking for an Applied Science Manager III to lead a team of applied scientists building next-generation AI-powered seller risk detection systems. This role sits at the intersection of deep technical Basic qualifications: - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Ph.D. in computer science, machine learning, engineering, or related fields, or PhD and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - 1+ years of scientists or machine learning engineers management experience - Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track - Experience working and communicating with multiple stakeholders, C-level executives and cross-functional teams - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership Preferred: - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers 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 - 183,800.00 - 248,700.00 USD annually
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Listed on amazon · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.