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%
Group panel interview: 13%
Personality test: 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. The process took 4 weeks. I interviewed at Walmart Global Tech in Mar 2022
Interview
First round hackerrank with 1 data science time series modelling and three SQL/basic probability MCQ plus a behavioral questionnaire. Second round with a take home assignment 24 hrs prior to the virtual interview. Within 1-10 business days. you should receive a final round invitation.
Final round: ML questions+data science case study+resume-based technical questions
Interview questions [1]
Question 1
Detailed and in-depth question about the take-home assignment. Make sure to know all the algorithms and data manipulation skills you used.
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.