Premature

Side note: An abstract one today. I’m guilty of making the “not crossing the bridge before it comes” mistake.. just made it last week. And sometimes without even realizing I’m doing it. And then make graphs on it.

This one is for Noopur, who I know is going to do great things.

Compression

Not a side not, but decided to ramble a bit more today. I’ve been thinking about the nature of jobs of late. A job which you haven’t defined yourself or you haven’t created can never be remotely reflective of your potential.  It’s someone else’s conception of what they think you’re capable of -> which can never be accurate. Trying to find a perfect “job” working for someone else which uses your full potential is nearly impossible, just because they have defined it.

A perfect job in very nearly all cases has to be something you create yourself, not fitting in with someone else’s requirements of a role. My theory here is – how happy one is in a job is kind of proportional to how much it uses your potential -> negligible: super unhappy, a small percentage or higher -> happy.  A usual job defined by someone else doesn’t just try to fit a round peg in a square hole, but takes a utilizes a very small square out of rambling figure.

Side Note: Initially this was a sketch.. decided to “paintbrush” it last minute!

 

The New Job Market Rulers – Data Scientists

There is a current new wave if you’re in the data analysis job market. If you’re a data person, the new hottest job title to own – Data Scientist.

So what on earth is a data scientist? A data scientist is someone usually with an advanced statistics (or similar) degree but can also handle data, has data extracting proficiency (equivalent coding skills) and combines them with business skills to generate insights on massive amounts of data. Different than a data engineer.

Data scientist = Data guy+ Programming skills (handling databases) + Business skills.

I’ve illustrated where the skill set of a data scientist lies-

Data Scientists are  very hard to find right now and I think it’s just going to keep getting harder.  Right now, this is what the trend is looking like –

So why are data scientists so hard to find? I think it’s got to do with one reason – Most statistics/math/related field graduates even with PhD’s are not trained out of college in programming and database skills. The curriculum is designed so they are good at data mining and statistics but it’s harder to find the self learner to take the plunge into programming to become a data scientist. This is eventually going to create a huge scarcity and we will probably see newer degrees in college education addressing the need coming up. Till then if you’re currently a good data scientist, you’ll probably have a field time!

The connectors in data are becoming more valuable than the specialists.