Johnson & Johnson Data Science Intern �
Remote·182 interview reviews·Medium difficulty
& Johnson Data Science Intern � Interview Reviews
182Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Design Web Crawler - Design a distributed web crawling system”
Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Valid Parentheses - Determine if the input string has valid bracket pairs”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Describe a time when you had to learn something quickly to complete a project”
Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”
About This Role
Frequently Asked Questions
How hard is it to get hired as a & Johnson Data Science Intern � at Johnson?
The interview difficulty is rated 2.6/5 by candidates. 70% report a positive experience. Focus on Software Development, System Design, Behavioral to improve your chances.
How long does the Johnson & Johnson Data Science Intern � hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 64% of candidates applied online.
What questions are asked in a Johnson & Johnson Data Science Intern � interview?
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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