Learning and practicing work from different vantage points will give you a diverse way of seeing and approaching problems.

I’d recommend looking into methods outside your comfort zone to add to your problem-solving tool box. I find that some students are boxed into using one set of tools that they’ve learned in college. What they don’t teach in school, though, is that you need to be a generalist as well. In addition to typical data knowledge, you may also want to learn code, and be able to clearly communicate technical concepts. In a lot of cases, schools are well connected to employers in their local areas and even nationally. The easiest way to get introduced to potential employers after graduating, or preferably before graduating, is to have your professor write you a letter of recommendation for a desired employer. Let’s be honest, we want the candidate to land the job just as much as the candidate wants to land the job.Īdvice for recent data & analytics graduates We as recruiters should know firsthand what the candidate will encounter at the interview by speaking to the hiring manager beforehand about what they want to discuss and understand. I take it as a personal responsibility to increase their chances by successfully communicating with and preparing them for the on-site interview. Making it past the phone screen is a big accomplishment and I like to build the candidate’s confidence, be a resource for questions, and share what they can expect. One thing I like to do after we decide to bring someone in for an on-site interview is to congratulate them on making it to the next round. Letting candidates know that they should feel comfortable working with the recruiter on interview preparation is one of the most important aspects of my job.

These candidates are coming in and presenting to a team for a portion of their interview, and I find this to be the most critical part of the process. With many of the candidates we interview, but especially with data scientists, I like to spend some time discussing the interview preparation piece. In most cases, data scientists and analytical interviews will have some sort of technical testing, as well as a presentation.

Basic data science internship question