
Walmart Global Tech Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 64 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Walmart Global Tech.
Data Scientist
Started with a recruiter call. Then had a technical interview with Senior Data Scientists where we talked about my resume projects and past work, specifically the technical details and why I made certain design choices. This round also included an Easy DSA coding problem. The second interview was with people from the team, digging deeper into 1-2 specific projects and another Medium DSA coding test. They also asked general ML questions like about random forests, transformers, xgboost, and attention weights. I answered everything okay and passed both coding tests, but then I didn't hear back for over a month and got rejected two months later.
- Can you tell me about a Data Science/ML project from your resume and walk me through the design choices you made?
- Explain the design choices for a Data Science/ML project.
Data Scientist Intern
So first I had a screening with the Manager, it was mostly behavioral stuff. Then the next round was technical, they asked me questions on python and my past experiences, teamwork, problem-solving skills, and alignment with the company’s values. Then I had another screening with the Manager that was mostly behavioral. Then the next round was technical with questions on python and past experiences, teamwork, problem-solving skills, and alignment with the company’s values.
- Can you share an instance of working within a team?
- Can you tell me about your previous experiences?
- How do you work in a team?
Senior Data Scientist
So, there were like 5 rounds, all of them were technical interviews. Each round had a coding question, some ML basics stuff, and a system design question. The coding questions were Leetcode medium difficulty and sometimes they had follow-ups. They asked a lot about logistic regression and tree-based models. For the coding part, there was some dynamic programming and sorting involved.
- Can you tell me how to find the index of the maximum element in an array?
Walmart Global Tech Data Scientist Interview Questions
Quoted word for word from Walmart Global Tech interview reports.
“Can you simulate N throws of a biased die without using the numpy library?”
Read reports →“When would a complex neural network model perform like a linear model?”
Read reports →“Can you explain what F1 score is and the reason behind its name?”
Read reports →“Could you explain what cross-entropy is, and please provide the formula?”
Read reports →“Can you explain the difference between a random forest and a gradient boosted tree?”
Read report →“Can you explain the difference between L1 and L2 norms?”
Read report →“Can you tell me how to find the index of the maximum element in an array?”
Read report →“Could you explain type 1 and type 2 errors, and what parameters are necessary for a T-test?”
Read report →“What metrics can be used for evaluating LLMs when target values are unavailable?”
Read report →Formats, difficulty and experience
Across all 64 Walmart Global Tech interview reports.