Note: This article isn’t just about data science consulting – I use the terms ‘client’ and ‘end-users’ interchangeably, as in either case someone is entrusting you to find insights in their data. One trend that I’ve started noticing recently is that you can roughly divide up data scientists into two categories: …
Author: Andrew
There’s a lot of hype in AI right now. It’s hard (especially for me) to distinguish what’s a real-world, legitimate application, vs what’s just pure fantasy – at least right now. One area I’ve been looking into lately is an interesting application of computer vision within artificial intelligence: using cameras and machine …
With how fast the data science industry is changing, it’s hard (especially for me) to keep up with all that’s going on. For students, it’s probably even more difficult, as they likely wouldn’t have a base of knowledge to draw upon when sifting through what’s hype vs legit in data …
One thing I’m currently struggling with is balancing two very different types of workloads. On the one hand, there are items that are more maintenance, budgeting, planning – basically, the not-fun parts of a data scientist’s job, but stuff that kind of has to be done (especially when you start …
One thing that people love to do is give career advice. It feels great; when someone asks you for advice, they’re essentially giving you strong affirmation and compliment of nearly your entire worldview. Something discussed within my little group of industry buddies is not just us sharing our own career-related thoughts …
There’s a ton of hype in the data science industry right now, and the general consensus is that it’s currently quite difficult to hire quality data scientists. Given this tight hiring environment, something that has been confusing my group of industry buddies is how some managers are still apparently looking …
For many people (including me), it can tricky knowing exactly how to build credibility in data science land – especially if you’re a newer data scientist. This topic has a lot of depth; what’s mentioned below is only a subset of potentially useful considerations. For context, something my little group of data science industry …
I’ve been doing data science for a few years now, and recently moved into a kind of unofficial ‘team lead’ role. This means recruiting, interviewing, and all that fun stuff. In the informal discussions I have with my data science industry buddies, this topic has been coming more frequently (in …
One thing I started more clearly appreciating in the past year or so, is just how fast the data science/artificial intelligence industry is changing. Of course, before that I still would have said that ‘being adaptable is key’ or whatever – but, I completely didn’t grasp just how much change we’re apparently …
As a student interested in data science, it’s not always straightforward to know exactly what you should focus on to get that first data scientist position. Also, being one of the faster-changing career paths, it’s not always clear when certain pieces of career advice have become a bit dated or are even applicable …