Hi ,
After finishing my PhD, I was a research assistant for one of the Australian Government's first "data scientists".
He learned to code back in the days when coding involved the
use of punch cards.
By the time I met him, his "coding" skills were long obsolete - in fact, my job involved writing code for him.
Yet, his ability to identify problems worth solving and deliver solutions that mattered had remained evergreen.
If you can solve problems that matter, it doesn't matter who writes your code - be it you, another human or AI.
At 78, he was still indispensable to the organisation. At 28, I was just beginning to understand why.
In a world where ChatGPT writes code better and faster than experienced programmers can, the shelf life of technical skills continues to shrink.
Unless you're planning on retiring in the next 12 months, it's certain your current tech skills will be worthless by the time you retire.
But it's because of this that the ability to understand business context, identify valuable opportunities and communicate solutions that drive decisions is now more valuable than ever.
Want to future-proof your data science career?
Stop obsessing over the latest AI tools and start mastering the business skills that will remain valuable for decades to come.
Talk again soon,
Dr Genevieve Hayes.
p.s. In the Data Science Impact Accelerator program, I teach the timeless skills that transform technical expertise into lasting business value.
Hit reply to learn how to build a data science career that stays valuable for 50+ years, not just until the next framework comes along.
