You’re here because you’re a data scientist looking to take your game to the next level.
It’s not technical or soft skills. No, you already know all about that.
What you’re looking for is a special upgrade. You know, like when Mario goes wild high from that mushroom juice.
Well, guess what? I’ve got just the thing for you!!
I’ve started my data science career at Spotify as a mini Mario playing in the league of the big data science Super Luigis *praying to God you get the ref*.
And working closely with them made me realize one thing:
Success as a data scientist is greatly determined by your ability to carve out an environment conducive to success.
It’s the key power-up that’ll make you go vroom to your Super self!
And it’s your lucky day today because I’m about to share with you five valuable practices I learned from senior data scientists at Spotify.
These habits have supercharged my productivity on data science projects, and they will do the same for you. More specifically, they will help you:
- Improve your efficiency, whether you’re starting your career or looking to improve your work ethic.
- Better allocate your most precious resources — energy and time.
- Derive meaningful learnings from your projects to fast-track your way through future ones.
To do this properly, you’re going to imagine that you’ve just been assigned an important super task: your newest data science project.
Your hypothetical mission is to conduct foundational research to assess the key factors behind growth in the product area that you’re working on.
To make this as realistic as possible, don’t forget the fact that you’re also juggling this project alongside at least 1 or 2 others on the side.