Why data scientists leave their job?
Why data scientists leave their job?
Here’s the reality – the industry doesn’t work like that. There are too many factors at play to make a data science project anything close to what we experience in online data science competitions. This mismatch in expectations is a major roadblock and leads to data scientists quitting their jobs.
Will data science go extinct?
Data Scientists will not go extinct in 10 years, but the role will change. About 70\% of KDnuggets readers think that the demand for Data Scientists will increase, and 50\% think it will increase significantly. At the same time, over 90\% think the role of Data Scientist will change.
What will the future of the data scientist job look like?
Instead, there will be an evolution. The takeaway for data scientists is to look toward improving their skills in things that are not automatable: Some future job titles that may take the place of data scientist include machine learning engineer, data engineer, AI wrangler, AI communicator, AI product manager and AI architect.
Will the data scientist job title become extinct?
One of the prominent jobs going extinct is Windows/Linux/Unix systems administrators. Those positions are being eliminated by the cloud, DevOps tools and DevOps engineers. I believe something similar will happen to data science job titles. The role of data scientist will change into something else.
Why are companies hiring people into data science job titles?
I believe the reason companies are hiring people into data science job titles is because they recognize there are emerging trends (cloud computing, big data, AI, machine learning), and they want to invest in them. There is evidence to suggest this is a temporary phenomenon, though, which is a normal part of the technology hype cycle.
Why do junior data scientists want to get into data science?
Many junior data scientists I know (this includes myself) wanted to get into data science because it was all about solving complex problems with cool new machine learning algorithms that make huge impact on a business. This was a chance to feel like the work we were doing was more important than anything we’ve done before.