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Data science and machine learning professionals are facing uncertainty from multiple directions: the global economy, AI-powered tools and their effects on job security, and an ever-shifting tech stack, to name a few. Is it even possible to talk about recession-proofing or AI-proofing ones career these days?

The most honest answer we can give is we dont really know, because as weve seen with the rise of LLMs in the past couple of years, things can and do change very quickly in this field (and in tech more broadly). That, however, doesnt mean we should just resign ourselves to inaction, let alone despair.

Even in challenging times, there are ways to assess the situation, think creatively about our current position and what changes wed like to see, and come up with a plan to adjust our skills, self-presentation, and mindset accordingly. The articles weve selected this week each tackle one (or more) of these elements, from excelling as an early-career data scientist to becoming an effective communicator. They offer pragmatic insights and a healthy dose of inspiration for practitioners across a wide range of roles and career stages. Lets dive in!

Read more here:

How to Plan for Your Next Career Move in Data Science and Machine Learning | by TDS Editors | Jul, 2024 - Towards Data Science