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Applied Scientist, Worldwide Grocery Stores, Data and Science

Amazon.com Services LLC

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What scientist roles keep asking for: Python (47%), Machine learning (36%), SQL (22%), C++ (17%), Java (17%), Deep learning (14%), R (13%), LLMs (12%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Amazon.com Services LLC?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. What is a weakness you are working on, and how?
  4. Tell me about yourself, and why this role is the right next step.
  5. Tell me about a problem you solved at work that you are proud of.

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Amazon's Worldwide Grocery Stores (WWGS), Data & Science team is seeking an Applied Scientist to join our Sales & Operations Planning (S&OP) and Supply Chain Science team. In this role, you will help build Basic qualifications: - Master's degree or above in Engineering, Computer Science, Machine Learning, Statistics, Physics, or related fields - Experience building machine learning models or developing algorithms for business application - Proficiency in Python, including scientific computing and ML libraries (e.g., pandas, NumPy, scikit-learn) - Experience with SQL and large-scale data processing on a modern data platform (e.g., Redshift, Spark, EMR, or equivalent data warehouse) Preferred: - Experience implementing algorithms using both toolkits and self-developed code - Experience with supply chain modeling and other statistical analysis tools - Experience working in a cloud based development and production environment such as AWS - Experience building applications with large language models or agentic frameworks - Publications in peer-reviewed conferences or journals 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 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.