Senior Applied Scientist, Kumo
Amazon Web Services
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This role on the market
2,023 open scientist roles across 269 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (72), Delhi NCR (32).
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- Full-Stack AI Engineer / Data Scientist – Agentic SystemsRoche · hyderabad
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- Scientist/Sr. Scientist - Bioassay Development, Validation and Tech TransferGsk
What scientist roles keep asking for: Python (49%), Machine learning (38%), SQL (23%), C++ (18%), Java (17%), Deep learning (14%), R (14%), LLMs (13%) — counted across their open postings here.
Applied Scientist jobs in the United States · Remote Applied Scientist jobs · AWS jobs · C++ jobs · Deep learning jobs · Java jobs
Amazon Web Services has 2,200 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 scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Amazon Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Senior Applied Scientist, Kumo at Amazon Web Services interview free →At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting Basic qualifications: - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred: - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability 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, Bellevue - 167,100.00 - 226,100.00 USD annually
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Listed on amazon · posted 2026-09-14. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.