Data Scientist applicants have rated the interview process at Walmart Global Tech with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 68% positive. To compare, the company-average is 59.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 33 days to get hired, when considering 19 user submitted interviews for this role. To compare, the hiring process at Walmart Global Tech overall takes an average of 37 days.
Common stages of the interview process at Walmart Global Tech as a Data Scientist according to 19 Glassdoor interviews include:
One on one interview: 25%
Skills test: 19%
Personality test: 13%
Group panel interview: 13%
Phone interview: 9%
Presentation: 9%
Background check: 6%
Drug test: 6%
Here are the most commonly searched roles for interview reports -
I applied online, was contacted by recruiter. I talked to the hiring manager on the phone. Some data science questions, based on random forest, deep learning, and they also asked some basic leetcode questions.
First is a hackerrank online assessment that you complete on your own time. Then is an interview where you have to be prepared for both technical and behavioral questions. The interviewer was super nice and I could tell they wanted me to succeed.
I applied through a recruiter. I interviewed at Walmart Global Tech (Bengaluru)
Interview
Resume Shortlisting, HR Phone Screen, Online assessment, Candidate background and Project Deep dive, Multiple Coding Rounds (Leetcode Easy/Medium Levels), Basic ML Breadth and Depth, ML Case study/Design based on IN3/In4 Levels, Hiring Manager Screen.
I interviewed at Walmart Global Tech (Bentonville, AR)
Interview
Technical and behaviour round with hiring manager and team tech lead. Before this there was a written test that had SQL questions, probability problems and machine learning basics. In the technical round:
Gave a problem statement and asked to propose a solution and then optimize it. Then I asked few questions to clarify the data and proposed an initial solution using that data.
Interview questions [1]
Question 1
Gave a problem statement and asked to propose a solution and then optimize it. Then I asked few questions to clarify the data and proposed an initial solution using that data.