3. Data scientists are big data wranglers.
They take an enormous mass of messy data
points (unstructured and structured) and use
their formidable skills in math, statistics and
programming to clean, massage and organize
them.
6. If “sexy” means having rare
qualities that are much in
demand, data scientists are
already there.
7. There simply aren’t a lot of people with
their combination of scientific
background and computational and
analytical skills.
They are difficult and expensive to hire.
10. Companies are now wrestling with
information that comes in varieties and
volumes never encountered before.
11. Data Scientists help decision makers shift
from ad hoc analysis to an ongoing
conversation with data.
12. The shortage of Data Scientists is
becoming a serious constraint in some
sectors.
13. Why and How are these insights
relevant to a manager in India?
14. Managers should have faith in the power
of Analytics.
Managers shouldn’t take long to
recognize a good idea and utilise it to its
fullest.
15. The challenge for Managers is to learn
how to identify the talent of Data
Scientists, attract it to an enterprise, and
make it productive.
16. As the story of Jonathan Goldman illustrates,
Data Scientists’ greatest opportunity to add value
is in innovating with customer-facing products
and processes.
Data Scientist should have the freedom to
experiment and explore possibilities.
17. Data scientists want to build things, not
just give advice. One describes being a
consultant as “the dead zone.”