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      Kin Insurance

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      Associate Data Scientist Interview

      21 May 2022
      Anonymous interview candidate
      Chicago, IL
      No offer
      Negative experience
      Average interview

      Application

      I applied through an employee referral. The process took 2 weeks. I interviewed at Kin Insurance (Chicago, IL) in May 2022

      Interview

      1. HR screening (she was wonderful) 2. Hiring Manager (easy since I knew him) 3. Background about my skill-set and what I have been doing (knew one already and the other I didn't know) 4. Business Case Study Interview I knew two people (one being the hiring manager) for the role. Did great the first three rounds. The fourth round was bad. Apparently, you are already being tested on how you can answer business questions tied to Data science. For an associate role in which I was told that they are looking for strong math, stats, and programming skills apparently they want somebody who already knows the insurance business and can answer open-ended questions (a way to determine how one "thinks"). No, it is a way to find the person who can do the job even before learning on how to do the job with different departments. If a company is going into a different direction after THREE ROUNDS OF INTERVIEWING then don't waste my time nor yours. It was ridiculous and now the hiring manager ghosted me. I learned on how much of a joke it is to network especially when you don't have enough of a specific industry knowledge. That should be learned on the job NOT prior because the likelihood of even getting the job (let alone an interview) is generally less than 50%.

      Interview questions [1]

      Question 1

      Past case study, Explaining how communicate, Oh and be sure to know the industry you are applying to be a data scientist for (horrible advice if you are looking for entry level or associate roles b/c you are just trying to get your foot into a job). Nobody has that time to waste on unless you have a SIGNIFICANT DEEP PASSION and studied that industry for a large part of your life while can be able to be a strong candidate in data science...yeah no
      Answer question
      4