Matt Dancho (Business Science) Profile picture
May 12 11 tweets 5 min read Twitter logo Read on Twitter
#AI isn't going to take your data science job.

But the #recession might.

Here's how this trend is unfolding from Big #Tech to the broader job market (and how to prepare)...

#datascience #career Image
For the better part of a decade, Big #Tech was on a hiring spree.

Companies like #Amazon, #Microsoft, and #Meta overhired. And that's OK when things are going well.

But then 2022 hit and Big Tech had its worst decline since 2008.
And in January 2023, with CEOs seeking to protect their stock prices, companies like:

PayPal, and

...all announced deep cuts to employees.
Things continued in March 2023 with tech giants like Meta announcing 10,000 more layoffs in addition to their mass layoffs in 2022.

But something different is now happening, in the broader market.
In April 2023, #TysonFoods announced 10% layoff of corporate roles.

#3M is laying off 6,000 staff positions.

And, even #WholeFoods, #Deloitte, and #Mcdonald's are laying off people.
My point is your job isn't safe.

And it isn't because of AI.

It's because of an economic tailwind that is spreading.
But is it all bad news?

Absolutely not-

There are things you can do RIGHT NOW actually **grow** your #datascience #career (even in a recession).
If you'd like to learn more, on Wednesday, May 17th, I'm hosting a free masterclass where I will explain my EXACT process for getting 3 promotions in 2 years...

... While working for an OIL company in 2014-16
2014- Price of OIL = $100/barrel

2016- Price of OIL = $25/barrel

This sent my company into 4 rounds of layoffs.
But, I not only survived but my career grew.

My salary doubled.

And I did some things that bucked the trend...

I'll share everything in my live training on Wednesday.
What's Your Next Step?

find out more in my LIVE masterclass, "How To Become A 6-Figure Data Scientist Even In A Recession".

Join me on May 17, and let's beat this recession.

Register Here:… Image

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More from @mdancho84

May 12
I continue to be impressed by the ease of doing machine learning with Pycaret.

This is especially great for #R people that want to learn #Python.

Let me explain...

#DataScience #Rstats Image
As many of you know, my primary data science toolkit is #R. ❤️

I've been doing data science in production at @bizScienc and developing open-source R software for over 10 years.

- Modeltime (+4 ecosystem pkgs)
- Timetk
- Tidyquant
- CorrelationFunnel
But, I interact with team members and interface with clients...

and their language of choice is often Python.

It's refreshing that I can quickly switch to Python when needed, and not need to write 5000 lines of #ScikitLearn code to do basic machine learning.
Read 5 tweets
May 11
Data science is evolving.

And the cold, hard fact is: Your Career Is On The Line.

If your projects aren't making it into production, your job has a bullseye on it 🎯

Time to smarten up. Here's how.

#datascience #career #python Image
Data science is different today than it was in 2022.

In 2022, companies were OK with hiring 15+ person data science teams...

The "hype" hiring was that AI would solve all problems...

Grow revenues.
Cut Costs.
Make MONEY (aka profit)
Read 16 tweets
May 10
Learning data science on your own is tough...

...(ahem, it took me 6 years)

So here's some help.

5 Free Books to Cut Your Time In HALF.

Let's go! 🧵

#datascience #rstats #R Image
1. Mastering #Spark with #R

This book solves an important problem- what happens when your data gets too big?

For example, analyzing 100,000,000 time series.

You can do it in R with the tools covered in this book.

Website: Image
2. Geocomputation with #R

Interested in #Geospatial Analysis?

This book is my go-to resource for all things geospatial.

This book covers:
-Making Maps
-Working with Spatial Data
-Applications (Transportation, Geomarketing)

Website: Image
Read 8 tweets
May 9
A big mistake I see data scientists making: Learning tools they never use.

I did this.

And here’s how to fix it.

#datascience #rstats Image
A classic case of learning everything is mean, median, and mode.

Data scientists learn how to use all 3 of these.

Median and mean I use almost every day.

But I can count on one hand how often I have used mode.
The same applies to machine learning, data wrangling, and visualization.

There are 1000's of things you could learn.

But what should you spend your time learning?
Read 7 tweets
May 9
If you're starting out in data science (or if your wondering what you need to learn), don't believe everything you read. 🧵

Spot BS and focus on these 4 steps to grow your career.

#datascience #rstats #career Image
My friend Rafael Nicolas Fermin Cota (Nico) pointed me to this modified graphic from a Harvard Business Review Article on "Prioritizing Which Data Science Skills Your Company Needs".
With ChatGPT, AI, and the "trendiness" of buzzwords, this graphic becomes even more dangerous.…
Read 13 tweets
May 8
Here’s a list of 7 problem-solving skills that will help you become a 6-figure data scientist (with resources).

#datascience #rstats #career Image
Whether you are trying to transition into data science, building your skills, or seeking to land your first data science position...

It can be a big challenge to figure out what businesses want.

And that's why I put together this list of curated resources.
7 Skills To Grow Your Data Science Career

1. Costing A Problem:

Quantify the effect of no-change in a business process to show opportunity for improvement.

Use dollar value to demonstrate opportunity.

Read 12 tweets

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