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      Rackspace Technology

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      Entrevista para Statistician

      4 de set. de 2013
      Funcionário(a) sigiloso(a)
      San Antonio, TX
      Oferta aceita
      Experiência positiva
      Entrevista difícil

      Candidatura

      Candidatei-me online. O processo levou 2 meses. Fui entrevistado pela Rackspace Technology (San Antonio, TX) em nov. de 2011

      Entrevista

      It began with the typical screening interview by HR. Basic experiential questions asked (knowledge of cloud hosting, position relevant questions). A week later a phone interview in which the questions were primarily skill based and were basic applied statistical questions that would be asked of folks who know they need this skillset, but don't know how to test expertise. For most self-titled 'Analysts' though, these questions would weed them out quickly. The next step was an on-campus interview. Be prepared to spend a day. I was there for 6 hours. The questions then went into statistical inference from financial data during one hour, the rest regarded demonstrations of fit within the culture of Rackspace. Questions are all evidence-based. The interviews are purposefully long, as to break down the stamina of folks who can otherwise fake through an interview. I was asked to attend a second interview, where I was asked maybe 2 or 3 fit type questions (I think just to round up HR as I believe they wished to hire me in person - I was transparent about another offer pending). My hiring manager then left the room, and came back with a bouquet of dusty plastic flowers and an HR person with the contract and offered it to me on the spot.

      Perguntas de entrevista [1]

      Pergunta 1

      Nothing I received was actually unexpected. The general statistical applications (say multiple independents and one dependent variable) were basic questions anyone should be checked for. One question was a creative one, which asked how I would with a single camera mounted to a car (no laser/sound/etc) program a car to maintain its distance from the car in front of it. I was asked by finance to make some inferences from a plot of data on a blackboard, but I had to ask the interviewer about some definitions of the data (which anyone in their right mind should). The question regarded whether one from the plot could make a sound conclusion about a visible pattern in the scatterplot. If so, what did it mean (here they're testing the ability to translate the technical information into lay meaning).
      Responder à pergunta

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