Principal Applied Scientist, Trusted Supply, Amazon Ads
Amazon
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This role on the market
2,048 open scientist roles across 270 companies are on ApplySarthi right now, most of them in Bengaluru (136), Hyderabad (70), Delhi NCR (33).
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What scientist roles keep asking for: Python (48%), Machine learning (37%), SQL (22%), C++ (17%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — counted across their open postings here.
Remote Applied Scientist jobs · C++ jobs · Computer vision jobs · Generative AI jobs · Java jobs
Amazon has 14,204 open roles listed here.
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- Applied Scientist II, RBS Techbengaluru
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- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Amazon.
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 yourself, and why this role is the right next step.
- 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?
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Practise the Principal Applied Scientist, Trusted Supply, Amazon Ads at Amazon interview free →Amazon Advertising is a fast-growing multi-billion dollar business that spans desktop, mobile, and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party Basic qualifications: Ph.D. in Computer Science, Machine Learning, Statistics, or a highly quantitative field Experience applying machine learning to real-world problems at scale, with multiple years in a science leadership capacity Proven track record of leading, mentoring, and growing teams of scientists (5+ scientists) Deep expertise in NLP, Computer Vision, or multi-modal learning with demonstrated impact in production systems Strong publication record in top-tier ML/AI conferences (NeurIPS, ICML, KDD, WWW, ACL, EMNLP, CVPR, or equivalent) Experience with large-scale distributed ML systems processing terabytes of data Expert-level proficiency in Python and at least one systems language (Java, C++, Scala) Demonstrated ability to translate ambiguous business problems into well-defined science initiatives with measurable outcomes Preferred: Experience with GenAI/LLM-based classification systems at production scale Experience in computational advertising, ad tech, content moderation, trust & safety, or fraud/abuse detection Expertise in adversarial machine learning, anomaly detection, or security-oriented ML applications Familiarity with industry standards: MRC accreditation, TAG certification, brand safety frameworks, IAB content taxonomy Experience with privacy-preserving ML techniques (federated learning, differential privacy, on-device inference) Track record of defining org-level research practices and shipping 0-to-1 science products Experience with real-time inference systems operating at low latency ( Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.
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Listed on amazon · posted 2026-08-24. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.