Data Scientist, CloudTune
Amazon
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This role on the market
2,511 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.
Data Scientist jobs in the United States · Data Scientist jobs in Seattle · Remote Data Scientist jobs · Generative AI jobs · MATLAB jobs · Machine learning jobs · Python jobs
Amazon has 16,717 open roles listed here.
- Data Center Logistics Specialist, Data Center Logistics Specialistmumbai
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- Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Electrical Design Engineer, APAC Data Center Design Engineeringmumbai
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.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Data Scientist, CloudTune at Amazon interview free →Amazon's eCommerce Foundation (eCF) organization provides the core technologies that drive and power Amazon's Stores, Digital, and Other (SDO) businesses. Millions of customer page views and orders per Basic qualifications: - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 1+ years of working with or evaluating AI systems experience - Experience applying quantitative analysis to solve business problems and making data-driven business decisions - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Currently has, or is in the process of obtaining, a Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM) Preferred: - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Experience in a ML or data scientist role with a large technology company - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience effectively communicating complex concepts through written and verbal communication - Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. 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 - 136,000.00 - 184,000.00 USD annually
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Listed on amazon · posted 2026-10-20. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.