A Spotify Data Scientist’s guide to developing a job-hunting strategy that can get you offers
I recently ran a survey among data scientists and found out this shocking number — 86% are blindly sending out job applications, and hoping for the best. Hoping is not a strategy, and in times like these, it can be the difference between landing a job or staying in the ranks of the jobless.
You’re not applying to a fast food chain, so stop being generic! The data labor market has turned into a battleground where only those who stand out can succeed. This means you can no longer afford to blend in with the crowd.
You need to stand out, and for that, you need a strategy.
This article is for you if:
- You’re part of the freestyling no-strategy job-hunting community and you’re tired of getting rejection after rejection
- You want to learn how successful data scientists land jobs even in the middle of an economic crisis.
I’ve collected testimonials from successful data scientists and connected with several others to understand their winning job-hunting strategies. In this article, I’ve combined their wisdom and experience into a 3-step strategy to guide you through these challenging times and help you succeed.
No strategy is a failing strategy. So let’s bring you to the winning side!
When job-hunting, it’s crucial to understand what factors are within and beyond your control. This is key to developing a winning strategy because it helps you focus on the things you can optimize for to better navigate your search.
Factors beyond your control & what you can do about them
- Job Availability: Many positions aren’t publicly advertised. Also, some roles are filled quickly, often by the…
