Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Breeding data scientists: A four-year study

Danielle Dean (Microsoft), Amy O'Connor (Cloudera)
2:05pm–2:45pm Thursday, 09/29/2016
Data-driven business
Location: 1 E 15/1 E 16 Level: Non-technical
Average rating: ***..
(3.17, 6 ratings)

What you'll learn

  • Understand the current state of data science
  • Explore the skills needed for data scientists, how to find them, and how to grow a team
  • Learn how to use data science to drive value
  • Description

    At Strata + Hadoop World 2012, Amy O’Connor and her daughter Danielle Dean shared how they learned and built data science skills at Nokia. (At the time, Amy led the Big Data team at Nokia where Danielle was an intern still working on her PhD.) In the past four years, the landscape of data science has changed drastically. In 2012, most data science skills had to be learned organically; today, there have been major advances in tools, education, and the general culture in organizations taking on data science work. This year, Amy and Danielle explore how the landscape in the world of data science has changed and explain how to be successful deriving value from data today. Along the way, they outline the innovative methods they’ve used to find and build a data science skill set within their teams and for those in their customer base.

    Photo of Danielle Dean

    Danielle Dean

    Microsoft

    Danielle Dean is a principal data scientist lead in AzureCAT within the Cloud AI Platform Division at Microsoft, where she leads an international team of data scientists and engineers to build predictive analytics and machine learning solutions with external companies utilizing Microsoft’s Cloud AI platform. Previously, she was a data scientist at Nokia, where she produced business value and insights from big data through data mining and statistical modeling on data-driven projects that impacted a range of businesses, products, and initiatives. Danielle holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill, where she studied the application of multilevel event history models to understand the timing and processes leading to events between dyads within social networks.

    Photo of Amy O'Connor

    Amy O'Connor

    Cloudera

    Amy O’Connor is a big data evangelist and telecommunications specialist at Cloudera, the leading big data vendor. She advises customers globally as they introduce big data solutions and adopt enterprise-wide big data delivery capabilities. Amy was recently named one of Information Management’s 10 Big Data Experts to Know. Prior to joining Cloudera, Amy built and ran Nokia’s big data team, developing and managing Nokia’s data assets and leading a team of data scientists to drive insights. Previously, Amy was vice president of services marketing and also led strategy for the software and storage business units of Sun Microsystems.