ApplySarthi

Data Scientist, Experience Analytics

Amazon

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This role on the market

1,528 open experience roles across 305 companies are on ApplySarthi right now, most of them in Bengaluru (85), Hyderabad (31), Chennai (23).

What experience roles keep asking for: Stakeholder management (17%), Product management (15%), Supply chain (13%) — counted across their open postings here.

Data Scientist jobs in the United States · Data Scientist jobs in Seattle · Remote Data Scientist jobs · AWS jobs · Generative AI jobs · MATLAB jobs · Machine learning jobs

Amazon has 16,717 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for experience roles keep coming back to Stakeholder management, Product management, Supply chain. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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AWS is seeking a Data Scientist to join our Consumer Experience team. We're looking for someone who is curious about large-scale data challenges and motivated to apply ML/AI and advanced analytics to solve 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 guiding and coaching a group of researchers experience - 1+ years of working with or evaluating AI systems experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Experience applying theoretical models in an applied environment Preferred: - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl, or another scripting language - 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 working on multi-team, cross-disciplinary projects - Experience applying quantitative analysis to solve business problems and making data-driven business decisions - Experience effectively communicating complex concepts through written and verbal communication 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 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.