I was once an aspiring data scientist just like you. I was completely lost and overwhelmed by all of the information out there. I read job descriptions and couldn't understand how a single person was supposed to have so many skills. It was insane.
I put in dozens of applications and didn't get a single response.
For months I tried, but I wasn't getting anywhere. Eventually, I managed to get two recruiters to talk to me, but they both told me the same thing: I didn't have enough experience and companies were only looking for candidates with experience, or those who “had worked as a data scientist before."
I felt dejected and angry—the system wasn't fair. I was working hard, had great skills and was learning new ones every day, putting myself out there, everything.
What was I supposed to do? I was a software developer, completely bored out of my mind, and stuck with a mediocre salary—not bad, but not exactly my dream—I wanted to become a data scientist!
The work seemed like more fun and I knew I could make a real impact in a business (and the world!) if I could just land a job as a data scientist—plus, I would get a nice salary increase that would give the financial freedom to finally do the things I loved in my free time (anyone else love travelling or want to buy a new car?).
But I just wasn't getting anywhere.
I wanted to quit.
But I stopped for a minute to evaluate my situation.
I knew that quitting wouldn't help me reach my goals. My actions weren't creating the results I wanted. I realized I had to radically change my approach: I had to become my own job search expert.
So I started reading...a lot. And experimenting. I read every job search blog out there. I read everything about becoming a data scientist and compiled all the advice I could find.
I tried almost everything. I learned the hard way that about 90% of the conventional advice out there is completely useless.
Eventually, though, with a whole lot of trial-and-error, I began to get a feel for the process and understand what companies were really looking for (hint: there are exactly 3 things you need to know here).
I kept experimenting and tweaking my approach until I finally started to get some traction. A couple phone calls here and there. A few emails. Finally some phone interviews.