I faced two medium LeetCode problems, both related to concrete ML issues. The experience was quite nice, and the interviewer was very helpful, providing valuable guidance and support throughout the process.
It was a quick interview with 3 members all asking questions from different domains. Included the director specialist and same level team member. It could have been more focused. They could have made it more engaging.
Questions d'entretien [1]
Question 1
About technical forecasting experience from workforce perspective.
Starts with a screen, followed by leetcode style SQL+Python questions, Full loop of SQL, Python, SQL plus Python and lastly behavioural round. Every round is also an architecture round in some sense.
Overall, the whole interview process took about three weeks, which felt longer than I expected given the urgency for the role. The technical round was challenging, featuring a problem on valid parentheses that required a single-pass stack approach. As I discussed edge cases, I remembered similar patterns I had been practicing on PracHub just days prior, and those hours definitely paid off. After a couple of behavioral interviews, I was thrilled to receive an offer, which I happily accepted.
Questions d'entretien [1]
Question 1
Given a string s containing parentheses and letters, remove the minimum number of parentheses so that the resulting string is valid (Minimum Remove to Make Valid Parentheses). Walk through a single-pass stack approach to mark unmatched opens, then a second pass to drop unmatched closes, with O(n) time and O(n) space. Discuss edge cases like all-letter strings, deeply nested groups, and whether multiple valid answers exist.