Sr Applied Scientist, CreativeX
Amazon
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This role on the market
2,512 open scientist roles across 380 companies are on ApplySarthi right now, most of them in Bengaluru (145), Hyderabad (77), Delhi NCR (27).
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What scientist roles keep asking for: Python (63%), Machine learning (51%), SQL (29%), LLMs (20%), Deep learning (18%), C++ (18%), R (18%), Java (15%) — counted across their open postings here.
Applied Scientist jobs in the United States · Applied Scientist jobs in New York · Remote Applied Scientist jobs · C++ jobs · Deep learning jobs · Hadoop jobs · Java jobs
Amazon has 16,716 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, LLMs. 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.
- Walk me through a design from your portfolio, from the problem to the result.
- Tell me about design feedback you disagreed with. What happened?
- How do you test a design with users before it is built?
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Practise the Sr Applied Scientist, CreativeX at Amazon interview free →Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which Basic qualifications: - 6+ years of building machine learning models or developing algorithms for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with neural deep learning methods and machine learning - Knowledge of programming languages such as C/C++, Python, Java or Perl Preferred: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience in building machine learning models for business application 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, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
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Listed on amazon · posted 2026-10-19. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.