1 min readfrom Data Science

Senior level DS at FAANG - what coding interviews to expect

Our take

Transitioning from a mid-level to a senior data scientist role at a FAANG company presents unique challenges, particularly in coding proficiency. Expect a rigorous interview process that assesses your technical skills in data manipulation and coding. While a strong grasp of statistics and case studies is vital, refreshing your coding skills is equally important. Prepare for medium-level LeetCode problems and ensure you can articulate your thought process clearly, using pseudocode when necessary.

Worked at FAANG up until a month ago as mid level DS and now I'm getting callbacks for senior level roles from similar companies. My stats intuition/case studies are pretty good since that's mostly what my last job relied on. However, my coding is so rusty since I just used AI most of the time to move fast and cleaned it up when there was a mistake.

I'm mostly concerned about prepping the coding and data manipulation rounds. What level of prep should I prepare for to feel 'good enough'? Should I be expected to do leetcode mediums or is pandas/sql enough? Is describing the solution and logic with pseudocode enough for tougher problems or do I have to take it from start to end with no help? What has your experience been like for expectations at senior level FAANG interviews?

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