Online questions that you needed to record and then upload. 30 sec to think about each question and 2 min to answer. In addition I had a HoganX assesment that was multiple choice
Interview questions [1]
Question 1
- Where did you get your data science knowledge?
- Describe the data science projects you worked on
Virtual panel interview focused on past experiences and projects, with technical questions on machine learning and large language models, assessing problem solving, communication, and practical application skills depth clarity readiness
Interview questions [1]
Question 1
They asked me to explain a real ML/LLM project, focusing on model choice, data challenges, evaluation metrics, and what I’d improve next time.
First round was a phone call. Next round was to create a PowerPoint Presentation on a project I have done related to role. That was the last round and then decision was made.
All i got to was the personality quiz. There were two— the first essentially asked how you would handle situations and understanding your morals. The second was more scientifically based. I have not heard back since.
Data Science Intern applicants have rated the interview process at Johnson & Johnson with 2.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 69% positive. To compare, the company-average is 64.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 25 days to get hired, when considering 13 user submitted interviews for this role. To compare, the hiring process at Johnson & Johnson overall takes an average of 30 days.
Common stages of the interview process at Johnson & Johnson as a Data Science Intern according to 13 Glassdoor interviews include:
Personality test: 23%
Skills test: 18%
Phone interview: 14%
One on one interview: 9%
IQ intelligence test: 9%
Group panel interview: 9%
Background check: 9%
Other: 5%
Presentation: 5%
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