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Data Scientist II, Prime Air

Amazon.com Services LLC

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What scientist roles keep asking for: Python (47%), Machine learning (36%), SQL (22%), C++ (18%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — counted across their open postings here.

Data Scientist jobs in the United States · Data Scientist jobs in Seattle · Remote Data Scientist jobs · Data modelling jobs · Hadoop jobs · Machine learning jobs · Perl jobs

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Preparing for this interview

Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Amazon.com Services LLC.

Questions you are likely to be asked

  1. Why do you want to join Amazon.com Services LLC?
  2. What is your experience with Data modelling? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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Are you excited to figure out not just what is happening but why — and to help build a delivery business that's still taking shape? We're looking for a Data Scientist who thrives on ambiguity and wants Basic qualifications: - 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Experience applying theoretical models in an applied environment Preferred: - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company - Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations - Experience applying causal inference methods (e.g., experimentation/A-B testing, quasi-experimental or observational causal methods such as DiD, IV, or causal DAGs) - Experience designing, building, or reasoning over knowledge graphs (entity/ontology modeling, graph databases, or graph embeddings) 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 2026-09-16. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.