Data Science — One of the Sexiest Jobs You Can Have!

If you’re here, you definitely have heard about data science and you might wonder what data scientists really do? There is no good answer to this question! Data science is a relatively new field that was coined in 2008 by D.J. Patil, and Jeff Hammerbacher, then the respective leads of data and analytics efforts at LinkedIn and Facebook. As the field Is getting more mature the definition of data science changing drastically. The plot below used to be a popular way explaining what data science is. A data scientist used to be someone who knows a bit of math, , machine learning, statistics, programming and some domain expertise.

Nowadays, new jobs such as machine learning scientist, data engineer, applied researcher and … have popped up affecting what we expect from a data scientist. Today, “more than anything, what data scientists do is make discoveries while swimming in data. It’s their preferred method of navigating the world around them. At ease in the digital realm, they are able to bring structure to large quantities of formless data and make analysis possible. They identify rich data sources, join them with other, potentially incomplete data sources, and clean the resulting set. In a competitive landscape where challenges keep changing and data never stop flowing, data scientists help decision makers shift from ad hoc analysis to an ongoing conversation with data” [1].

What makes data scientist different than data analysts?

Data analysts are masters in using tools to slice and dice the data. With some level of scientific curiosity data analysts can tell a story from data. A data scientist on the other hand possess all the skills of a data analysts with strong foundation in modelling, analytics, math, statistics and computer science. A data scientist is expected to generate their own questions while a data analyst finds answers to a given set of questions from data. A data scientist is someone who can predict the future based on past patterns whereas a data analyst is someone who merely curates meaningful insights from data.

But we would say the dominant trait among data scientists is an intense curiosity-a desire to go beneath the surface of a problem, find the questions at its heart, and distill them into a very clear set of hypotheses that can be tested. This often entails the associative thinking that characterizes the most creative scientists in any field. For example, we know of a data scientist studying a fraud problem who realized that it was analogous to a type of DNA sequencing problem. By bringing together those disparate worlds, he and his team were able to craft a solution that dramatically reduced fraud losses [1].

Why data science is getting a lot of attention?

What it means for you?

  1. “Thomas H. Davenport and D.J. Patil, Harvard Business Review, Data Scientist: The Sexiest Job of the 21st Century
  2. “The Economist , The World’s Most Valuable Resource is no Longer Oil, but Data

Originally published at on June 23, 2019.

An entrepreneur, company advisor, physicist, machine learning scientist, classical music lover, and a dreamer. @hamid_omid_