[undoware]

My advice is to get 'ML' on your resume, some way, somehow, along with some selection of: TypeScript, React, Python, C#, Java, Linux, and Kubernetes.

Start with a good online free course like https://www.coursera.org/specializations/machine-learning-in...

You don't have to be a full-bore data scientist to benefit from the surging interest in ML -- for example, I've made my current focus 'UX for data scientists', I focus on trying to make interfaces that are pleasing to people working in ML, and this, I am pleased to say, just got my ass hired.

It's also salient to know that, over the next decade, while tech salaries will likely trend down (esp. as CoPilot, nocode/lowcode, etc continue to make our lives easier and hence less lucrative ;D) the *amount of addressable work* in ML specifically will almost certainly offset this change.

YMMV in other tech specializations, but I'd still rather be in our industry than most others. Again, there's plenty of work in MLOps that does not require being a data scientist.

Finally, if you can physically live in a geolocation with lower cost of living (or better yet, a currency that is weaker than USD) you can be the lower-cost option that everyone ditches Fancy McSanFransiscoPants for in 2023. Be sure to blog and show your work on GH ;D

[uxcolumbo]

Good points.

I'd like to hear more about UX for data scientists.

Do you mean creating custom user interfaces similar to the ones used in Tableau or PowerBI etc to explore large datasets?

Or just in general following good UI principles when showing data, e.g. Tufte, Few, etc?

Which interfaces / apps do you think do a good job in this regard?

[undoware]

That's just it -- I don't think there are any great interfaces, yet. Jupyter scratches only the surface of what literate experimental coding could be.

I also have a back-of-napkin argument that the field is due for an invention as revolutionary to ML as the beizer handle was to vector art, or the spreadsheet was to money management.

I'm interested conceptually in eventually leveraging eg VR and sonification for aid in exploring very-high-dimensional datasets.

Meanwhile, yes, there is a lot of just nuts/bolts Good Design to worry about. :)

[uxcolumbo]

VR… great example. I’m curious to know whether and what kind of impact the immersiveness of VR will have on exploring large data sets.

I wonder what kind of UIs Deepmind created for their data scientist… similar to Jupyter or better.