DataTalks.Club

Decoding Data Science Job Descriptions - Tereza Iofciu

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We talked about:

  • DataTalks.Club intro
  • Tereza’s background
  • Working as a coach
  • Identifying the mismatches between your needs and that of a company
  • How to avoid misalignments
  • Considering what’s mentioned in the job description, what isn’t, and why
  • Diversity and culture of a company
  • Lack of a salary in the job description
  • Way of doing research about the company where you will potentially work
  • How to avoid a mismatch with a company other than learning from your mistakes
  • Before data, during data, after data (a company’s data maturity level)
  • The company’s tech stack
  • Finding Tereza online


    • Links: 

    • Decoding Data Science Job Descriptions (talk): https://www.youtube.com/watch?v=WAs9vSNTza8
    • Talk at ConnectForward: https://www.youtube.com/watch?v=WAs9vSNTza8
    • Slides: https://www.slideshare.net/terezaif/decoding-data-science-job-descriptions-250687704
    • Talk at DataLift: https://www.youtube.com/watch?v=pCtQ0szJiLA
    • Slides: https://www.slideshare.net/terezaif/lessons-learned-from-hiring-and-retaining-data-practitioners


      • MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp

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