Decoding Data Science Job Descriptions - Tereza Iofciu

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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Our events: https://datatalks.club/events.html