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.
The Data Science Opportunities You Might be Missing on LinkedIn
|
Some of the best data science opportunities I’ve received never came through job boards. They came through LinkedIn conversations. Around three years ago, I set myself the goal of posting twice weekly on LinkedIn, after previously posting only “here and there”. Six months ago, I increased that to daily posting. The results have been transformative:
The key isn’t posting daily, though - it’s getting out and making connections. Dub Dub Data co-founder Sarah Burnett recently came to this same conclusion herself after going from posting “twice yearly” to every day as a personal challenge she set herself. In the latest Value Boost episode of Value Driven Data Science, Sarah and I discuss practical LinkedIn strategies that work for any frequency of posting - whether you’re building your own consultancy or advancing within your current organisation. In just 10 minutes, we explore:
Start where you are. Post when you can. Reach out to others wherever possible. You never know what opportunity the next DM will bring. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 89: LinkedIn Strategies for Boosting Your Data Science Career 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...