You can easily find yourself set up for failure. Verifying and checking metrics before you start was one of the most valuable lessons I learned (the hard way).

Before starting any project to improve an existing model or process, be sure to check you’re not being measured unfairly (photo by William Warby on Unsplash)

Destined for failure

Save money and frustration by considering the roles of analysts, data engineers, and software engineers in your data teams.

Stop hiring data scientists — you probably don’t need them (photo by Nadine Shaabana on Unsplash)

The Wrong People for the Job

We keep hiring data scientists without really understanding where they bring the most value.

Taking the leap from learning to application can be tough. Here are some things to look out for to smooth the transition.

Don’t spend all of your time in the classroom (photo by Shubham Sharan on Unsplash)

Beware the Bookworm

The most common reasons strong candidates get stuck in an interview are often easy to fix with the right focus

Images of a computer
Images of a computer
Photo by Boitumelo Phetla on Unsplash


The soft skills that most developers struggle with and some guidance on how to improve them

Frustrated man using phone
Frustrated man using phone
Are soft skills dragging you down? (Photo courtesy of Reshot)

It’s Not All About the Tech

1. Selling


A lack of available data is stifling the adoption of machine learning solutions. Federated Data Sharing might be the answer.

Many organisations are out in the cold when it comes to high-quality data (photo by Harrison Haines from Pexels)

AI is 60 years young, we’re only at the very beginning.

A look at why the ‘sexiest job of the 21st century’ has lost its appeal

Driven to tears — when dream jobs turn bad (photo by Andrea Bertozzini on Unsplash)

Dream job?

Improving the #1 skill for data professionals

Get comfortable drawing a crowd, what you have to say and how you say it matters (photo by Wan San Yip on Unsplash)
  • What framework should I learn next?
  • What models should I be using?
  • Should I learn Julia or Spark next?

Books that’ll give you a wider perspective when working in data science and applying machine learning at scale

Reading a book
Reading a book
Photo by Lars Poeck on Reshot.

Tips to help you stand out from the pack and get you hired from an experienced data science leader

Get hired! (photo by Sincerely Media on Unsplash)


  • You might just be starting out and trying to land your first role
  • You could be in a tangential technical field and want to make the switch
  • Or you might already be an experienced data scientist looking to brush up on your skillset.

Why is it so hard?

Adam Sroka

Dr Adam Sroka, Head of Machine Learning Engineering at Origami Energy, is an experienced data and AI leader helping organisations unlock value from data.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store