Future Proof Data Science

Could you get hired in today's market?

AI is redefining what makes a data scientist valuable

Mar 31 • Andres Vourakis

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Ultimate Guide to Future-Proofing Your Data Science Career (2026-2027)

The skills, strategies, and career moves data scientists need to stay competitive as AI reshapes the field

Mar 26 • Andres Vourakis

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6 Research Papers Every Data Scientist Should Read In 2026

How far AI agents will automate data science, machine learning research, and broad scientific discovery

Mar 19 • Andres Vourakis

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What My Senior Data Scientist Role (Actually) Looks Like in 2026

Working at a scale-up with strong AI adoption

Mar 7 • Andres Vourakis

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February 2026

Should You Actually Transition from Data Science to AI Engineering?

Here is the reality most people keep ignoring

Feb 19 • Andres Vourakis

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7 Open-Source AI Tools Every Data Scientist Needs in 2026

It's never been easier to level-up

Feb 7 • Andres Vourakis

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January 2026

The Best Way to Deploy Data Science Projects with Streamlit

Hint: It's not Streamlit Cloud

Jan 29 • Andres Vourakis

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AI + Data Scientist Job Market in 2026: Analysis, Trends, Opportunities (Early Year Report)

Analyzed over 700 job postings to understand how AI is shaping the data science job market as we enter 2026

Jan 15 • Andres Vourakis

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My 2026 Bets for Data Science (And 3 Things You Should Focus On)

Full analysis by a Senior Data Scientist experienced in building AI workflows

Jan 6 • Andres Vourakis

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December 2025

3 Updates That Made Google Colab 10x Better For Data Scientists

Is it time to say goodbye to Jupyter?

Dec 16, 2025 • Andres Vourakis

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Building a Data Cleaning Agent with LangGraph

Bringing AI into your data science workflow

Dec 11, 2025 • Andres Vourakis

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What Are Foundation Models, and Why Should Data Scientists Care?

What the landscape looks like as we enter 2026

Dec 4, 2025 • Andres Vourakis

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