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      Data Scientist Interview

      Oct 5, 2021
      Anonymous Interview Candidate
      No offer
      Negative experience
      Difficult interview

      Application

      I interviewed at Upgrade in Sep 2021

      Interview

      A recruiter reached out to me via email and set a 2 hour interview with two of the Data Scientists on their team. It seemed a little weird that the first round was already this long, but I shrugged it off and went with it. The interviews were both quite high-level, with questions on modeling and explaining past projects in great detail. I was able to move on and was asked to complete a take-home. They gave me a week's time to finish. Take-home consisted of predicting charge-off loans. I finished this in about 5 days. I sent them the take-home, only to hear no response for a week. I sent a follow up, and the recruiter said to give them 1-2 more weeks. Did they really need 3 weeks to review a take-home...? It sounded like their internal hiring was way behind, and honestly I doubt anyone even looked at my assignment until the very last day. So after three weeks, I get a very standard no-reply rejection. I spent so much time on the assignment that I neglected my own job, and I also patiently waited like a dog for three weeks just to get the most generic rejection. It feels terrible, I’m not going to lie. Honestly, I had high hopes for this company. But after going through the process, I can’t really recommend this company to anyone. You can just tell internally that they are a mess, and honestly it doesn’t seem like hiring is a top priority for them, so why should it be a top priority for you to apply? Don’t waste your time like I did.

      Interview questions [1]

      Question 1

      Explain gradient boosting and parameters
      Answer question
      1

      Other Data Scientist Interview Reviews for Upgrade

      Data Scientist Interview

      Dec 26, 2022
      Anonymous employee
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Upgrade

      Interview

      Technical round: asked a lot of details of boosting models and random forest model. The training process and tuning parameters. Also let me explain one of the deep learning models

      Interview questions [1]

      Question 1

      The model structure and details Every project in my resume
      Answer question
      1

      Data Scientist Interview

      Nov 4, 2022
      Anonymous Interview Candidate
      San Francisco, CA
      No offer
      Negative experience
      Average interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Upgrade (San Francisco, CA) in Sep 2022

      Interview

      HR contacted for two one-hour interviews with a hiring manager and a senior. All technical details of machine learning models. The manager seemed unwilling to do the interview and very tired.

      Interview questions [1]

      Question 1

      Describe the gradient boosting algorithm.
      Answer question
      1

      Data Scientist Interview

      Oct 10, 2022
      Anonymous Interview Candidate
      San Francisco, CA
      No offer
      Negative experience
      Easy interview

      Application

      I applied online. The process took 1 day. I interviewed at Upgrade (San Francisco, CA) in Sep 2022

      Interview

      Heard back from a recruiter ~1 week after I applied. Scheduled two 1 hour interviews back to back with the VP and a Senior Data Scientist. Very odd for the first round to be this long. The first interview with the VP was just really terrible. I answered all his questions correctly. But his attitude was very off putting & obnoxious. He seemed like he didn't wanna be there interviewing me at all. Dude thought he was doing a massive favor interviewing me. Honestly don't see why this guy is a VP. The second interview was quite the opposite. The interviewer was very pleasant, asked me questions with a lot of zest & was very involved & interested throughout. Loved the interview and I answered ~99% of their questions. Heard back after a week that I was rejected. I have no clue why, because I did very well. Don't see any point in interviewing with this company in the future.

      Interview questions [1]

      Question 1

      Q1. Describe Gradient Boosting in detail. Q2. Bias Variance Tradeoff. Q3. Questions on regularization, etc.
      Answer question

      Jobs at Upgrade

      5 jobs in United States
      Credit Analyst
      Irvine, CA
      ·
      $40 - $45 /hr
      (Employer provided)
      View job
      Senior Manager, Marketing Analytics - Cards
      Wilmington, DE
      ·
      $140K - $190K /yr
      (Employer provided)
      View job
      Senior Manager, Marketing Analytics - Cards
      Philadelphia, PA
      ·
      $140K - $190K /yr
      (Employer provided)
      View job
      AI Process Improvement Analyst - Ops
      Phoenix, AZ
      ·
      $77K - $106K /yr
      (Glassdoor est.)
      View job
      Senior Product Manager, Flex Pay
      San Francisco, CA
      ·
      $180K - $210K /yr
      (Employer provided)
      View job

      Upgrade interviews FAQs

      • Data Scientist applicants have rated the interview process at Upgrade with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 20% positive. To compare, the company-average is 46.1% positive. This is according to Glassdoor user ratings.
      • Candidates applying for Data Scientist roles take an average of 10 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at Upgrade overall takes an average of 16 days.
      • Common stages of the interview process at Upgrade as a Data Scientist according to 5 Glassdoor interviews include:

        One on one interview:  40%

        Skills test:  40%

        Phone interview:  20%

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

        1. Customer Service Representative(19) ;
        2. Software Engineer(12) ;
        3. Supervisor(11) ;
        4. New Account Specialist(10) ;
        5. Loan Review Specialist(9) ;
        6. New Accounts Specialist(8) ;
        7. Senior Software Engineer(7) ;
        8. Collections Specialist(6) ;
        9. Customer Service Representative (CSR)(6) ;
        10. Account Service Representative(5) ;
        11. Loan Servicing Specialist(5) ;
        12. New Accounts(5) ;
        13. Underwriter(5) ;
        14. Analyst(4) ;
        15. Loan Review Specialist II(4) .


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