Microsoft Interview Loops
Microsoft's data loops share one shape. A recruiter call, sometimes an online assessment, and a technical screen. Then three to five interviews in one block, usually virtual and back to back. Each interviewer writes feedback on their own, and the last conversation is with the hiring manager or a senior leader. What changes is the content. Data scientist roles split in two. Product analytics, where SQL, experiments and business cases decide the outcome, and applied science, where ML fundamentals, coding and system design do. Data analyst loops center on a case with the analytics team. Read the posting to know which loop you're in. Across all of them, Microsoft interviewers ask why. Which metric did you use, why that one, what would have changed your mind.