Data Science Manager, Security Compliance Engineering, Stores Security
Amazon
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This role on the market
6,556 open engineering roles across 640 companies are on ApplySarthi right now, most of them in Bengaluru (346), Hyderabad (133), Chennai (79).
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What engineering roles keep asking for: AWS (21%), Python (20%), Observability (14%), System design (13%) — counted across their open postings here.
Machine learning jobs · NLP jobs · Python jobs · R jobs
Amazon has 16,544 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 engineering roles keep coming back to AWS, Python, Observability, System design. 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 Science Manager, Security Compliance Engineering, Stores Security at Amazon interview free →Security is moving from something builders stop for to something that runs quietly inside how they already work: guidance that shows up in their tools as they code, and continuous checks that replace the Basic qualifications: - 5+ years of building quantitative solutions as a scientist or science manager experience - 2+ years of scientists or machine learning engineers management experience - 5+ years of applying statistical models for large-scale application and building automated analytical systems experience - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language Preferred: - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems 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 - 175,100.00 - 236,900.00 USD annually
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Listed on amazon · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.