Traits That Make A Great Data Scientist - InformationWeek

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Traits That Make A Great Data Scientist
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CoreyG571
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CoreyG571,
User Rank: Apprentice
1/28/2014 | 1:56:10 AM
Working with teams vs. alone
It's an interesting point that inventors work better alone but it's worth looking at the work that data scientists are doing and whether they would be better suited working with others. While a team-first dynamic can often hinder a person's ability to innovate and be creative, the ability to loop back with teammates after creating a product or model, can be the trigger that leads others to an innovation. Here at Alpine Data Labs our product allows data scientists to share their thoughts with teammates to build toward the best possible solution.
Susan Fourtané
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Susan Fourtané,
User Rank: Author
1/27/2014 | 6:08:50 PM
Re: Facebook likes the hybrid team structure
Ariella, 

It may be that due to the lack of talent they have to work as a team to put together all the knowledge they need. 

I agree with Steve Wozniak. Creativity is better achieved as a one-person's work. 

-Susan
Ariella
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Ariella,
User Rank: Author
1/22/2014 | 10:29:14 AM
Re: Facebook likes the hybrid team structure
Intersting to see the focus on teams here. It contrasts with what Susan Cain quotes from 

Steve Wozniak's memoir iWoz (pp. 73-74):

Most inventors and engineers I've met are like me – they're shy and they live in their heads. They're almost like artists. In fact, the very best of them are artists. And artists work best alone where they can control an invention's design without a lot of other people designing it for marketing or some other committee. I don't believe anything really revolutionary has been invented by committee. If you're that rare engineer who's an inventor and also an artist, I'm going to give you some advice that might be hard to take. That advice is: Work alone. You're going to be best able to design revolutionary products and features if you're working on your own. Not on a committee. Not on a team.
D. Henschen
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D. Henschen,
User Rank: Author
1/21/2014 | 1:00:00 PM
Facebook likes the hybrid team structure
Given the scarcity of analytics talent, there seems to be broad agreement that you have to structure teams in a centralized way to share the talent. That said, having teams move from project to project or come up with some sort of hybrid model can also spread the wealth. Facebook embeds analytics talent in each business unit, but these people also report to a centralized head of analytics so they can share good ideas and lessons learned and avoid overlapping projects. 


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