Applied Scientist, Amazon Live Data Engineering, Sciences and Analytics (DESA)
Amazon
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This role on the market
7,130 open engineering roles across 734 companies are on ApplySarthi right now, most of them in Bengaluru (364), Hyderabad (129), Mumbai (54).
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What engineering roles keep asking for: Python (22%), AWS (21%), Observability (14%), System design (13%), CI/CD (12%) — counted across their open postings here.
Applied Scientist jobs in the United States · Applied Scientist jobs in Seattle · Remote Applied Scientist jobs · C++ jobs · Computer vision jobs · Hadoop jobs · Java jobs
Amazon has 16,715 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 Python, AWS, 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.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the Applied Scientist, Amazon Live Data Engineering, Sciences and Analytics (DESA) at Amazon interview free →Amazon Live is building the future of shoppable video — connecting brands with customers through livestreams, short-form video, and creator-driven content across Amazon Shopping, Fire TV, Prime Video, Basic qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience working with PyTorch or JAX software, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience with A/B testing, especially around audience segmentation and targeting - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience with causal inference methods (incrementality testing, difference- in-differences, instrumental variables, or synthetic control). Preferred: - Experience in search advertising, search marketing, performance advertising, or similar digital advertising - Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning - Experience in a marketing focused role including customer lifecycle marketing, segmentation reporting, customer funnel analysis, and top-line sales performance - Experience working with cross-functional teams across business development, marketing, operations, product development, legal, etc. - Track record of deploying models that directly influenced product decisions or business strategy. - Experience with Amazon internal tools (Bedrock, SageMaker, Redshift, Cradle) is a plus but not required. 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 - 142,800.00 - 193,200.00 USD annually
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Listed on amazon · posted 2026-08-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.