newsletterSeptember 18, 2026·Towards Data Science

Starting a Career in Data Science in the Age of AI

How do you set yourself up for a career that will stand the test of time when things are changing so fast? The post Starting a Career in Data Science in the Age of AI appeared first on Towards Data Science.

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•How do you set yourself up for a career that will stand the test of time when things are changing so fast? The post Starting a Career in Data Science in the Age of AI appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them

How to verify your app aligns with your intent without ever reading a line of generated code. The post Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them appeared first on Towards Data Science.

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We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.

The recurring cost of production AI is not inference. It is re-qualification: the eval reruns, prompt retuning, and regression testing you owe every time a model changes under you. Here is what that tax actually covers, and how to budget for it before it surprises you. The post We Pinned Our Model V

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Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer

Multi-agent coding systems don't necessarily fail because agents can't communicate. They can fail because important commitments made in conversation have nowhere to live afterward. The post Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer appeared first on Towards Data Science.

Towards Data Science

Building a Data Lakehouse with DuckDB and DuckLake

Starting with a local Parquet file, then joining it to data stored in the cloud The post Building a Data Lakehouse with DuckDB and DuckLake appeared first on Towards Data Science.

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Starting a Career in Data Science in the Age of AI

Key Takeaways

Related Articles

Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them

We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.

Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer

Building a Data Lakehouse with DuckDB and DuckLake

Discussion

Starting a Career in Data Science in the Age of AI

Key Takeaways

Related Articles

Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them

We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.

Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer

Building a Data Lakehouse with DuckDB and DuckLake

Discussion

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Towards Data Science
Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them
How to verify your app aligns with your intent without ever reading a line of generated code. The post Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them appeared first on Towards Data Science.

Towards Data Science
We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.
The recurring cost of production AI is not inference. It is re-qualification: the eval reruns, prompt retuning, and regression testing you owe every time a model changes under you. Here is what that tax actually covers, and how to budget for it before it surprises you. The post We Pinned Our Model V

Towards Data Science
Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer
Multi-agent coding systems don't necessarily fail because agents can't communicate. They can fail because important commitments made in conversation have nowhere to live afterward. The post Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer appeared first on Towards Data Science.

Towards Data Science
Building a Data Lakehouse with DuckDB and DuckLake
Starting with a local Parquet file, then joining it to data stored in the cloud The post Building a Data Lakehouse with DuckDB and DuckLake appeared first on Towards Data Science.