You walk into the Central Bank of Canada, the backbone of Canada’s financial system.
You’re applying for a data science position.
On paper the odds are stacked against you.
You use R.
The whole team uses Python.
And you are a complete unknown.
But you have an ace up your sleeve.
You show them a shiny app that you built that does forecasting with my modeltime package.
The Surprise:
The manager creates a better position for you IN THE INTERVIEW because they need your skills that badly.
Holy crap. You just got **promoted** in the interview.
❤️ This happened to a student of mine last week.
And I want to share with you exactly how you can do this too.
It’s by becoming a “Business Scientist.”
What is a Business Scientist?
A Business Scientist can:
1. Communicate with leadership 2. Diagnose business problems 3. Convert those problems into data problems 4. Build solutions 5. Deploy the solutions themselves
And they can do this in under 90 days.
That’s an 80% reduction in time.
And a 90% reduction in cost versus a traditional 10 person data science team.
Here’s the kicker. You make more!
I see this position getting $145,876 which is 17% more than a run-of-the-mill data scientist.
And companies are happy to pay it if you cost less than the bulky Data Science team.
Want to learn more?
Here’s the next step.
I have 500 seats for my masterclass this Wednesday at 2PM EST.