Amazon Data Scientist Interview Preparation Guide - Junior Level (1-2 Years)

Amazon's Data Scientist interview process consists of a recruiter screening followed by two technical phone screens and four onsite interviews. The process evaluates candidates on SQL proficiency, Python coding, machine learning expertise, statistical analysis, system design thinking, and alignment with Amazon's Leadership Principles. For junior-level candidates, the focus is on demonstrating solid technical fundamentals, ability to work independently on well-scoped problems, clear problem-solving communication, and collaborative mindset.