10 things you should know before heading for AI/ML/Data Science in 2021
Data Science and Machine Learning is not a bowl of cherries
Since Data Science was proposed as the sexiest job of the 21th century in 2012, a lot of people from all kind if different fields started to move to data science or related machine learning roles. Solving complex problems with fancy artificial intelligence algorithms and a good pay sounds attractive. A lot of companies jumped on the hype train and now offer boots camps to learn data science/AI/ML in less than one year. Here are 10 things to consider before joining such a bootcamp or heading for a career transition into machine learning.
1. Job titles are not yet well defined, required skills vary a lot, even in 2021
After startups noticed that artificial intelligence is now a powerful buzzword to be funded, they started to rename existing job offers from data analyst/statistician to data scientist or something related. The job title sounds sexier, so they get more applications for the job postings.
But if you read the job posting, you notice that some roles are completely different. Some want business analysts, answering questions with SAS, SPSS. Some want data engineers building Big Data Hadoop…
