Breeding Data Scientists

A session at Strata New York 2012

Wednesday 24th October, 2012

5:00pm to 5:50pm (EST)

A true data scientist has a combination of computer engineering ability, mathematical and statistical knowledge, an insatiable curiosity and an understanding of what will be interesting and useful. It is believed that we will have a significant deficit of these specialists in the very near future. So as select schools work toward putting together material to provide future students with the right balance of engineering, mathematical and cultural studies, how do you begin to breed data scientists from the talent already in the market?

Amy O’Connor leads Nokia’s growing centralized Analytics team. Her unique combination of engineering, business and marketing experience made her the perfect candidate to start and build this team. When she took the job 2 years ago, she found herself querying her daughter Danielle frequently. At the time, Danielle was just finishing her undergraduate studies, majoring in Psychology and in Organizational Behavior through Statistical Analysis, as well as minoring in Mathematics/Statistics. Over the past two years, Nokia has further defined its Analytical ecosystem, began to amass a centralized data asset and is increasingly using the data to manage and innovate its business and offerings. Throughout this journey, Amy has had to find individuals who have some of the attributes to become data scientists and provide them with additional training, mentorship and experiences to round out their abilities. One of her newest interns in the insights department happens to be her daughter, Danielle, who is now working toward her Doctorate in Quantitative Psychology at UNC Chapel Hill. Together, Amy and Danielle will share what makes a great data scientist, their different paths to acquiring skill sets and finally Amy will discuss how to spot, attract and train emerging data scientists in what is surely to become a heated market.

About the speakers

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Amy OConnor

Geek in High Heels. Biz. Technical. Strategy. Marketing. Social media. Continuous Learner. Head of Nokia's Big Data. bio from Twitter

This person is speaking at this event.
Danielle Dean

Data scientist @Nokia. Quantitative Psychology @UNC. Outdoor enthusiast. Boston sports fan. Dog lover. bio from Twitter

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Time 5:00pm5:50pm EST

Date Wed 24th October 2012

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