RIP Data Scientists. A new role is forming.

Hi John,

This might sting a little:

The “classic” Data Scientist role is slowly becoming commoditized.

Not because data science is dead.

But because the market is rewarding a different skill now.

Here’s what companies are actually paying for:

People who can ship reliable AI + data science systems.

That’s what I’m teaching live on Wednesday.
👉 Reserve your seat

No Python required to get value (I’ll demo code, but the workflow pattern is the point).

Not notebooks.
Not dashboards.
Not “cool models.”

Systems.

The new role looks like this (call it whatever you want):

Generative AI Data Scientist / AI Engineer

And the difference is simple:

Model builders create outputs.
System builders create outcomes that keep happening.

That’s why some people are landing $200K+ roles…
And others feel stuck doing “support analytics” work forever.

I’ve witnessed this shift firsthand across different industries, including my work with MRM McCann, S&P Global, and Apple.

Different domains, same pattern:

If your work doesn’t become a workflow the business can run, it doesn’t get adopted.

So this Wednesday I’m running a free live workshop where I’ll teach the exact pattern I use to go from:

Analysis → Workflow → Reliable AI/DS System

What you’ll learn:

• How to combine data science + GenAI into a repeatable pattern

• How “AI/DS system thinking” works (so you can ship into production)

• How to turn outputs into decision-ready actions

• Why this applies to almost any domain (marketing, finance, forecasting, ops)

When: Wednesday @ 2:00 PM ET

Price: Free

I’ll demo it with customer segmentation, but the pattern works for finance, forecasting, ops, support, marketing — anywhere humans are the bottleneck.

👉 Register here for the Free Live AI+DS Workshop

Matt

P.S. Register and I’ll send you the Demo → AI/DS System Builder Checklist (PDF) immediately (it’s a 1-page “AI/DS system builder” cheat sheet).