Can I pursue a career in Data Science at 34?

Question

I am a mechanical maintenance engineer by profession. Unfortunately, opportunities in my field are not great, Salaries are stagnant and future prospects are dim.

I wish to pursue a career in Data Science and I've been learning it along with Python and statistics for years as a hobby. I've done several industry-level internship projects as well.

Answer 1

Of course. Entry into the field (or an adjacent role) might be a little bit harder, but your life isn't over at _34_.

Hell, but can't even be President of the United States until you're 35!

Answer 2

Short answer: yes.

I've just hired a 45 year old analyst who has aspirations of moving into data science. And I have full confidence that he'll make it. Why? Because he wants to and has the drive to.

Answer 3

I became a ML engineer last year at the age of 38, so it's definitely not too late for you!

Answer 4

Mature experienced driven people are an asset.

Answer 5

I switched from experimental Physics to data science at 36. Several of my friends and colleagues did the same. I interviewed with various companies and my experience turned out to be an asset in landing interviews.

Answer 6

Yes, let none tell you otherwise.infact industry needs more mature data science practitioners coming from different backgrounds.

Answer 7

Yes you can, your domain knowledge would be very useful, data science/ml these are just tools.

Answer 8

I finished my PhD at 39 in a non-related STEM field, got my first "Data Science" job for an adtech startup at 42, and just got headhunted to a Senior/IC role focused on ML/E at 45.

Answer 9

I did at 40 from mechanical / mfg engineering. PM if you have questions or want some advice.

Answer 10

You have practical experience on top of youth.