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      Entretiens chez Stellar MLSEntretiens d’embauche pour Associate Data Scientist chez Stellar MLSEntretien chez Stellar MLS


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      Entretien pour Associate Data Scientist

      9 avr. 2024
      Employé (anonyme)
      Orlando, FL
      Offre acceptée
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez Stellar MLS (Orlando, FL)

      Entretien

      Very first interview was with the potential direct supervisor and the Vice President of Technology & Innovation. I was told that I would be given an excel spreadsheet dataset and to respond within two days with my findings. I asked for a few more days because I was in the middle of a large work project that was due at the end of the week, and they were okay with that. The spreadsheet consisted of four columns -- Property ID, Account ID, City Supplied Lot Area, and the Lot Area in SMLS's system. The very first thing I wanted to do was to check for duplicates within the data. I did this in Excel through conditional formatting, and I also created additional columns with concatenation of columns, as a way to better demonstrate duplication and attempt to create a unique identifier key for each row. I also made a hash of this concatenated column as well, since it would save size in a database. There were duplicates across multiple rows, sometimes every single row. I deleted duplicates and noticed that there were often large discrepancies between the SMLS' system and Lot Provided area. I found Pearson's Coefficient between the City Supplied Lot Area and the SMLS system, both before and after the duplicate values were removed. I then brought both my modified and original dataset into SQL and found that there were 46,770 unique rows of data. I then filtered out outliers, by only counting rows that had both land areas within 10% of each other in either direction, and I then took the Pearson's coefficient between the two land area rows in SQL. I also uploaded the original dataset and my cleaned version to Weka and ran some modeling and created visualizations from there. Finally, I brought the data over to Power BI, and created some measurements, calculations, and created a dashboard. I am not surprised that I wasn't the top candidate in such a competitive field, but their communication is awful to nonexistent. I followed up after a month and was told that they would get back to me soon. It's been five months now. It's safe to say that I didn't get the job, and that's okay, but some sort of follow-up on a project that used four different software suites, double digits and a report, would be a common courtesy. If you value your time and respect, I would steer clear of here.

      Questions d'entretien [1]

      Question 1

      What actions would you take if you were working with an external team that was not meeting deadlines?
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