The Problem with Data Science
Skills:
ML Pipelines61%
In this video I talk about the biggest problem I see data scientists and organizations today. I also talk about some approaches to fixing the problem with data science.
Kd nuggets link: https://www.kdnuggets.com/2018/04/why-data-scientists-leaving-jobs.html
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The problem with data science is that many data scientists don't feel fulfilled by their work. This originates from two ares 1) companies hire data scientists without fully understanding their capabilities 2) data science careers still aren't well defined.
For data scientists: To avoid these pitfalls ask relevant questions in interviews, learn the team and the politics around it. Make sure to understand the other roles that fill out the team as well.
For companies: Make sure that leaders understand what data science is and what it is not. Also more narrowly define data science positions (Data Analyst, Data Engineer, Machine Learning Engineer, etc.). Seek the input from data scientists and give them feedback.
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