Panelists Debate Data Scientists' Need for Domain Knowledge

Panelists at NATAS debate the pros and cons of data scientists having domain knowledge.


It started, as most great debates do, with a simple question.

"What is a data scientist?"

The question was posed by moderator Neeraj Hegde, a quantitative trading architect at Paris-based Societe Generale, during a panel looking at algorithms and analytics at the North American Trading Architecture Summit in New York.

Gary Bhattacharjee, executive director at Morgan Stanley Wealth Management, said a data scientist should technically have experience in four different categories: math, engineering

To continue reading...

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an indvidual account here: