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Hiring Strategy – from Campus to Competition!


Who is Data Scientist?

Data Scientists are like bikinis. What they reveal is suggestive, but what they conceal is vital.” – Aaron Levenstein, business professor at Baruch College.

A data scientist is the one who is better at statistics than a software engineer and better at software engineering than a statistician. He is the one who is communicating your wishes to a computer. It’s exciting because it allows you to automate the ineffable.

Are Data scientists, PhD?

Not really, you don’t need a PhD to sprinkle the Machine Learning over your business processes. The organisation hires a PhD. is like the way a drug lord buys a dinosaur for his backyard, they don’t know what they want to do with the dinosaur, but they know, all the other drug lords have one.

What makes one successful as a Data Scientist?

“Most of the world will make decisions by either guessing or using their gut. They will be either lucky or wrong.” – Suhail Doshi, chief executive officer, Mixpanel.

Considering the above fact,

“Think analytically, rigorously, and systematically about a business problem and come up with a solution that leverages the available data.” – Michael O’Connell, chief analytics officer, TIBCO.

Once Einstein replied to a question “What is the speed of sound?”, “I don’t know. I don’t burden my memory with such facts that I can easily find in any textbook.”

You Don’t Have to Know Everything. You Just Have to Know Where to Find It.

The true value of an education is not the learning of many facts but the training of the mind to think something that cannot be learned from textbooks.

“The biggest challenge of making the evolution from a knowing culture to a learning culture—from a culture that largely depends on heuristics in decision making to a culture that is much more objective and data-driven and embraces the power of data and technology—is really not the cost. Initially, it largely ends up being imagination and inertia… What I have learned in my last few years is that the power of fear is quite tremendous in evolving oneself to think and act differently today, and to ask questions today that we weren’t asking about our roles before. And it’s that mindset change—from an expert-based mindset to one that is much more dynamic and much more learning oriented, as opposed to a fixed mindset—that I think is fundamental to the sustainable health of any company, large, small, or medium.” – Murli Buluswar, chief science officer, AIG.

Organisations are becoming smarter these days, to launch AI or ML Open Challenge competitions, publishing their data online. They understood that they need more power to torture the data to confess anything. In my whole career, I spent the majority of the time, and What I learnt is how to torture ;).

 “If somebody tortures the data enough (open or not), it will confess anything.” – Paolo Magrassi, former vice president, research director, Gartner.

Organisations want only the autodidacts like me :).

Autodidacts—the self-taught, un-credentialed, data-passionate people—will come to play a significant role in many organizations’ data science initiatives.” – Neil Raden, founder and principal analyst, Hired Brains Research.

“We should teach the students, as well as executives, how to conduct experiments, how to examine data, and how to use these tools to make better decisions.”- Dan Ariely, professor of psychology and behavioral economics at Duke University and a founding member of the Center for Advanced Hindsight.

Hiring Strategy in the Analytics Industry moves from Campus to Competitions.

Connecting with the Experts, Sharing the Experience, Collaborating in Summits, Presenting a Workpaper, Writing a blog, Releasing a Vlog, attending Hackathons are the fun part of Data Science today.

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