2. Name of the Article : Data Scientist-The
Sexiest Job of the 21st Century
Authors : Thomas H. Davenport & D.J. Patil
Edition : October 2012
Source : Harvard Business Review
3. Thomas H. Davenport
An American author specializing in analytics,
business process invocation and knowledge
management
Director of Research at International Institute of
Analytics and Senior Advisor to Deloitte Analytics
D.J. Patil
V.P.of Product at Relatel Q, Advisor at Inside
Vault
He worked aa the Head of Data Products, Chief
Scientist and CSO for LinkedIn (2008-2011)
4. It is the study of generalizable extraction of
knowledge from data.
It builds on techniques and theories from
various fields including
Mathematics
Probability Models
Statistical Learning
Computer Programming
Data Engineering
Pattern Recognition
Data Warehousing
5. They are the people who know how to find the
feasible solutions to the Business Questions
from the unlimited stream of today’s digital
data.
6. They are business experts, statistics experts,
programming experts, database technology
experts, and visualization and
communication experts.
7. In this article, it was described that in some
of the sectors, shortage of data scientists has
become a serious constraint.
Back in the 1990s, computer engineer and
Wall Street “quants” were the hot
occupations in business.
Indeed, Greylock Partners, the VC firm that
backed Facebook and LinkedIn, is so worried
about the shortage of data scientists.
8. Identify the data sources
Swim in big data
Find valuable information in that data
Make the formats data structured
9. Ability to access the unstructured data
Good Oral & Communication Skills
Good Mathematical & Statistical background
Strong desire to pursue in this field
Ability to write code and develop products
14. 1.) Indian Managers should allow
the data scientists try their
hands at new ideas of
innovation and hence help them
contribute to the economic
growth of the society.
15. 2.) Indian Managers can start
early hiring of the second
generation of data scientists as
waiting at such a time of
scarcity can cause a lag in their
organization’s economic growth.