Senior Data Scientist applicants have rated the interview process at Warner Bros. Discovery with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 61.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Scientist roles take an average of 35 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Warner Bros. Discovery overall takes an average of 33 days.
Common stages of the interview process at Warner Bros. Discovery as a Senior Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 22%
One on one interview: 22%
Skills test: 22%
Group panel interview: 11%
Presentation: 11%
Personality test: 11%
Here are the most commonly searched roles for interview reports -
The process took 6 weeks. I interviewed at Warner Bros. Discovery (Washington, DC) in Feb 2022
Interview
Interview process was simple - involving a dataset to explore and share insights. There might be about 3-4 rounds of interviews with product folks, Data Science and ML teams. Experience with visualization tools and cloud technologies would be expected
I interviewed at Warner Bros. Discovery (Hyderābād) in Feb 2026
Interview
It started with basic introduction and started discussing about one of my projects. The interviewer doesn't look very much deep technical interview Data Science and was asking same question again and again. She looks very confusing. However, surprisingly the interview went started at 1PM Abd went till 2:10 PM. I have got the rejected email at 1:51 PM which is 29 minutes before the interview ended. Very much unprofessional and confused interviewer.
Interview questions [1]
Question 1
Asked about a time series forecasting problem. Asked 4 SQL Questions which I have solved all of them. Difference between RMSE and MAE.
I applied through a recruiter. The process took 4 weeks. I interviewed at Warner Bros. Discovery in Apr 2025
Interview
1 screening round
4 onsite - one hour each
1 python data manipulation round with stats questions
1 sql round
1 causal modeling case study round
1 machine learning round
Interview questions [1]
Question 1
Basic Python
Statistics
ML
Causal modeling questions