Blue Yonder Data Science interview questions

The interview process is largely scenario-based and use case driven, focusing on real-world problem solving. Candidates are evaluated on their ability to analyze situations, identify challenges, propose effective solutions, and optimize decision-making through logical, structured, and practical reasoning approaches.

2 rounds, first round ML basics and DSA, it was not very hard, DL breadth and ML breadth knowledge is good, second round in depth DL alongwith questions on python, sql, databases , topics- trees, activations, loss fucntions