AI and the Data Science Job Market: What the Hell Is Actually Happening?

What aspiring, junior, and senior data scientists should know to stay future-proof

Lately, there’s been a lot of noise around social media claiming Data Science is “dead”.

But this isn’t the first time we’ve heard it.

Every couple of years or so, the same narrative makes the rounds. A new tool comes out, job titles shift, and suddenly, people are ready to bury Data Science.

Reddit question about whether or not Data Science is dead.

But what’s different this time is that the concern isn’t just coming from a few isolated corners of the field.

This time, we’re seeing a real disruption that cuts across tech and even beyond, with layoffs, fewer entry-level postings, and AI hype everywhere you look.

I want to address these concerns with actual research and bring some clarity to those of you asking questions like:

• Is it even worth becoming a data scientist?
• How do I stay competitive as an experienced Data Scientist?
• Should I be afraid of losing my job to AI?

I’ll keep it honest as always and call things for what they are (no B.S.), and at the end, I’ll do my best to give you practical advice to help you…