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      Airtime interviews FAQs

      • Candidates applying for Data Scientist roles take an average of 42 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Airtime overall takes an average of 14 days.
      • Common stages of the interview process at Airtime as a Data Scientist according to 1 Glassdoor interviews include:

        Phone interview:  50%

        Presentation:  50%

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

        1. Content Producer(4) ;
        2. Senior Software Engineer(4) ;
        3. Marketing(3) ;
        4. Software Engineer(3) ;
        5. Content Creator(2) .


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    • Data Scientist Interview

      Nov 7, 2019
      Anonymous Interview Candidate
      East Palo Alto, CA
      No offer
      Negative experience
      Average interview

      Application

      I applied online. The process took 6 weeks. I interviewed at Airtime (East Palo Alto, CA) in Aug 2019

      Interview

      Don't bother with these guys; they are waste of time. First, you will talk to a third-party recruiter who will give you a bunch of canned questions and waste an hour of your time. Then, after the screening with the hiring manager, you will receive a take-home which gobbles up way more of your time than advertised. After submitting said take-home, you will receive no feedback even after repeated requests. To give you an idea of the kind of egos at work here, this hiring manager who is the only data science person there presently refers to himself in the footer of his emails as 'Head' of a department… even though that j0ker is the only person in said department. Lol

      Interview questions [2]

      Question 1

      Short Problems Below are a few problems to begin exploring the dataset. 1. Which room had the most distinct people enter it? 2. Calculate the mean number of room entries per user over the day. 3. How many users went in at least 3 different rooms? 4. How many rooms were entered by at least 2 people in at least 12 distinct hours of the day For each, please submit code that computes the answer and put the actual answer in a comment at the bottom of the file. We’ll be looking at the quality of your code and the correctness of your solution. We’d prefer you write in Python, but feel free to use another language if you’re not comfortable in Python.
      Answer question

      Question 2

      Research We want to see your creativity in action and get a sense for what sort of problems excite you. To that end, stated as broadly as possible — we want you to take the opportunity to do something interesting with this dataset. That could be a visualization, an application of machine learning, or finding a statistical trend — whatever gets you excited. The only constraints are that your solution involve writing code and that it involve the entire dataset in some way.
      Answer question
      1