The hiring process at AARP takes an average of 1 day when considering 1 user submitted interviews across all job titles. Candidates applying for data science internship had the quickest hiring process (on average 1 day), whereas data science internship roles had the slowest hiring process (on average 1 day).
Step one was Teams interview with HR member sitting in DC. Basics questions about event planning and advocacy. It was low pressure and I was told I would hear back in one week. It’s been one month. No word.
Interview questions [1]
Question 1
Explain a successful event you planned and what you learned from it.
I applied online. I interviewed at AARP (Washington, DC)
Interview
From what I was told, the interview process was expected to have 2–3 rounds. The first round was an HR interview focused on introductions, discussing your background and experience, and answering any questions you had about the role.
If you clear that round, the next stage is a technical interview with members of the team. The interview included a fairly even mix of technical and behavioral questions.
Interview questions [1]
Question 1
They showed me a long Python code cell from a Jupyter notebook and, without providing any additional context, asked me to identify the error in the code. I wasn’t shown the output or the actual error message either. The issue turned out to be a small syntax mistake where parentheses () were used even though that particular object or attribute should not have been called like a function.
Use STAR method. Nail your “why” and remember their positioning on “helping older adults age easier” and show empathy. First round was with a recruiter, second round with a manager, final round with a director or VP.