DataTalks.Club Decoding Data Science Job Descriptions - Tereza Iofciu
Aug 5, 2022
49:14
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
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html