Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
Bootcamps Teach Python - They Don't Teach This
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Data science bootcamps teach Python. They don’t teach you how to turn chaos into answerable questions. To this day, whenever I’m faced with a problem, the first thing I do is come up with a series of research questions - then I try to answer them. It’s standard practice in academic research, but I’ve rarely seen it done elsewhere. That experimental approach keeps me focused on what actually moves the needle. And it’s the kind of strategic thinking that gets you noticed by senior stakeholders. Last week, I wrote about the brutal reality of transitioning from academic to industry data science. This week, I’m flipping the script. Academics bring powerful skills to industry that many data scientists never develop. Skills like:
In the latest Value Boost episode of Value Driven Data Science, Dr. Sayli Javadekar returns to explore these transferable skills - and how any data scientist can develop them. You’ll learn:
Academic background or not, these skills will set you apart. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 93: What Industry Data Scientists Can Learn from Academic Training Talk again soon, Dr Genevieve Hayes. p.s. I am going to be taking a break for a few weeks but will return for 2026 in February. Merry Christmas and a Happy New Year! 🎄🎁 |
Data Science Impact Algorithm
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
When I’m looking for guests for my podcast, the first place I turn is invariably my bookcase. The authors of data science books have already demonstrated their authority in the field to the point of developing their own original IP. That makes them ideally suited to a podcast about data science expertise. And it’s no coincidence that many of those authors started off by writing blogs. It turns out conference organisers do something similar. When Cynthia Dunlop, who helps organise two major...
A couple of years back, I watched a TV series called The Fear Index. The series focused on a hedge-fund manager who had developed an AI system to optimise fund profits. Of course, as you would expect for a TV show - 🚨Spoiler Alert🚨 - everything falls apart when the AI starts taking highly illegal and frequently fatal actions in order to drive the market and achieve its goals. I enjoyed the show immensely, but at the time, felt it was far-fetched. However, recent reports of an OpenAI agent...
It’s no secret that many data scientists chose this profession in part because they enjoyed maths and wanted to avoid writing essays. When I was managing a data team, my team members would happily spend hours writing code. But ask them to write up what they’d done and suddenly everyone was too busy. Getting them to document their results in the form of a report was a lot like pulling teeth. And I understood why - to them, writing felt like a distraction from the “real” work. But over time, I...