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      Kelvin

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      Kelvin interviews FAQs

      • Candidates applying for Data Software Engineer roles take an average of 35 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Kelvin overall takes an average of 29 days.
      • Common stages of the interview process at Kelvin as a Data Software Engineer according to 1 Glassdoor interviews include:

        Presentation:  25%

        Group panel interview:  25%

        Phone interview:  25%

        One on one interview:  25%

      • Here are the most commonly searched roles for interview reports -

        1. Software Engineer(6) ;
        2. Data Scientist(2) ;
        3. Engineer(2) ;
        4. Software Developer(2) .

      Data Software Engineer Interview

      Sep 11, 2018
      Anonymous Interview Candidate
      No offer
      Negative experience
      Easy interview

      Application

      I applied online. The process took 5 weeks. I interviewed at Kelvin in Jun 2018

      Interview

      The whole process takes about 4-5 weeks, with a lot of Skype interviews with the various geographically dispersed teams. The process involves a tech take home which isn't too bad but if a little big and the code quality is high (the marking is done via a very large unit test suite). However, after the final interview the team never got back to me, neither a yes or a no. The company and the engineering teams are trying to work out what they want and I would not recommend Kelvin at all. Ghosting a candidate after 6 interviews and a final interview (i reached out but never heard a reply) is the stuff of a very immature and unprofessional company. They were also taken back by my compensation expectations, which was odd given it was about 20k under what I was on at the time (moving from NY to Austin), so my guess is the salaries are _low_. To add to this, I eventually got what I am on in NY in Austin, so the market is there.

      Interview questions [1]

      Question 1

      Nothing in particular
      Answer question
      3