Walmart Global Tech Data Scientist interview experience

The coding was Leetcode-style, typically medium difficulty with follow-up questions.

A lot of the math and modeling discussions leaned into logistic regression and tree-based models, and the problem-solving stretched into dynamic programming and sorting. Those rounds felt like they were testing both breadth and whether I could connect the dots between different types of algorithms.

It was challenging enough that I didn’t get an offer. Even though the structure was clear, I felt the evaluation covered a wide surface area, and that breadth became the hardest part for me to keep up with.