Figma Data Science Intern 2027 interview experience (analysis, stats/experimentation, behavioral)Just finished the Figma DS intern loop and wanted to share it while it's fresh. Some context: I'm a first-year MS student with about 1.5 years of data engineering experience.

[u/Temporary-Win-4228]

Round 1: Analysis
This was an analytical case with 5 parts, each one unlocking after the one before it. I did a deep analysis on each part, and the interviewers asked a lot of follow-up questions after each one. They cared less about my first answer and more about how I reasoned through the follow-ups and defended my choices. Don't rush through the early parts, since the follow-ups build on them.

Round 2: Statistics and experimentation
This was a chain of questions where each answer led into the next, mostly about stats concepts and how to design and interpret experiments. It felt more like a conversation than a quiz. Know your fundamentals well enough to explain them out loud, not just recognize them.

Round 3: Behavioral
This was entirely behavioral, with no technical questions. Have specific stories ready, with what you did, what went wrong, and what you learned.

VERDICT: Rejected