ApplySarthi

Sr Data Scientist, RBS Tech

Amazon

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What scientist roles keep asking for: Python (48%), Machine learning (37%), SQL (22%), C++ (17%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — 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?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms Basic qualifications: - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression - Experience in solving business problems through machine learning, data mining and statistical algorithms - Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members - Experience in problem solving and delivering results - Experience in oral and written communication - Masters or PhD in Economics, Statistics, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or a related field with specialization in causal inference, econometrics, statistical machine learning, or related fields. - Expertise in causal inference and econometric methods (e.g., Difference-in-Differences, Double Machine Learning, instrumental variables, matching/propensity methods, synthetic control) with a good working knowledge of classical machine learning. Preferred: - Experience as a leader and mentor on a data science team - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience in software development - Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving - Proven track record of managing science teams, hiring and developing science talent. - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field of causal inference or impact measurement. - Solid understanding of classical machine learning, causal inference and econometric methods, statistical modeling, and computational complexity. 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.

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Listed on amazon · posted 2026-09-29. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.