Palo Alto Networks Data Science interview questions
based on 6 ratings - Updated Mar 3, 2025
Averageinterview difficulty
Mostly positiveinterview experience
How others got an interview
67%
Applied online
Applied online
33%
Campus Recruiting
Campus Recruiting
Interview search
6 interviews
Viewing 1 - 5 of 6 Interviews
Palo Alto Networks interviews FAQs
Data Science applicants have rated the interview process at Palo Alto Networks with 2.8 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 48.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 28 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Palo Alto Networks overall takes an average of 31 days.
Common stages of the interview process at Palo Alto Networks as a Data Science according to 6 Glassdoor interviews include:
Phone interview: 67%
One on one interview: 33%
Here are the most commonly searched roles for interview reports -
Short, and ver professional they didn’t give much feedback but answered all my questions concerning the work environment as well as the rest of the interview process. Asked very general questions nothing too specific
I interviewed with the director of data science on university campus, and spoke with a data scientist over the phone a week or so afterwards.
HR was very slow with getting back, but I was able to contact a recruiter through LinkedIn for my status.
Interview questions [2]
Question 1
Describe modeling process (classification, error metrics).
First contacted by the HR lead for a phone interview. This was then followed by a phone interview with the team manager and then an on site panel interview with 5 people from the Analytics team.
Interview questions [1]
Question 1
Asked about the projects I worked on and asked me to solve some whiteboard problems