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      Entretien pour Data Science

      1 mars 2018
      Candidat à l'entretien anonyme
      Salt Lake City, UT
      Aucune offre
      Expérience neutre
      Entretien moyen

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez Sorenson Communications (Salt Lake City, UT) en févr. 2018

      Entretien

      Interview was a group phone call. The people were quite nice. Good at conversation. Seemed like good people to have as bosses. Genuinely seemed to care. That being said, both interviewers seemed well out of their element and tentative in their questions. I felt several times that they were asking me to describe techniques and processes that they themselves were completely clueless about. Seemed they had maybe a sophomore-level business statistics understanding of data science. Multiple times it seemed that they were just trying to get some free consulting out of me. They had no clue how to analyze their data. They were just digging for techniques they could write down and then explore themselves. Times series seemed like a foreign concept to them. Their data *clearly, clearly, clearly,* fit into a time series model, yet when I (multiple times) explained some of the techniques for time series analysis, they could not think of a single follow up question. They also seemed to have the philosophy that more data is always better (regardless of quality). Seemed to think of statistics as some sort of magic wand where you could just shove garbage into a Matlab script and BINGO! you get a perfect model for your business. And they use Matlab.......wait, really? I've never seen a data scientist job that REQUIRES exclusive use of Matlab. No Python? No R? This was a big red flag that they had no clue how to assemble a quality data science platform or team. Ultimately, it seemed that their ideal candidate would either be someone with a bachelor's degree in business analytics, or someone with a bachelor's degree in civil engineering who could do some Matlab, but couldn't get an actual job as an engineer. In the end, very nice people. Good people I think. Just not a place where you would want to work if you are an actual data scientist.

      Questions d'entretien [2]

      Question 1

      What type of data would you need to do this job?
      1 réponse

      Question 2

      How many years of data would you need to solve out problems?
      1 réponse
      1