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.
Every Data Scientist is Already an Entrepreneur
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When it comes to building a career, every data scientist is running their own business - it’s just that most of those businesses are solo operations with one client: their employer. Think about it. To succeed in data science, you need to:
The are all skills required to succeed in solo consulting. The only difference is that solo consultants know they’re running a business and act accordingly. Most data scientists, on the other hand, don’t realise this and too many fall into the trap of believing their employer will magically take care of their career development, putting them on the right projects and ensuring they get proper training. But unless you’re part of a formal graduate program, that’s rarely going to happen. This insight, which hit me after launching my own solo consulting business, is exactly what Danny Ruspandini and I explore in the latest episode of Value Driven Data Science. Danny has seen this from every angle - as an employee, as a business owner with staff, and now as a solo business owner who coaches other solopreneurs. In our conversation, Danny breaks down:
The data scientists who thrive are the ones who take control of their professional destiny - just like business owners do. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 86: Why Every Data Scientist Is Already Running a Business Talk again soon, Dr Genevieve Hayes |
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...