Data Science in Practice: Greenhouse, the New York Times, Via, and YipitData

Join us for a discussion panel with data scientists from Greenhouse (http://www.greenhouse.io/), the New York Times (http://www.nytimes.com/), Dow Jones / WSJ (http://www.dowjones.com/products/wsj/), Via (http://ridewithvia.com/), and YipitData (http://yipitdata.com/team/).

We'll discuss projects, tools, challenges, and insights from the perspective of data scientists working in the field. We'll also explore ways the practice of data science is growing and evolving.

Confirmed Panelists:

Anne Bauer is a data scientist at the New York Times (http://www.nytimes.com/), where she is currently working on business problems related to article readership and newspaper circulation. This past winter she was a fellow at Insight Data Science, making the transition to data science from academia. She received her Ph.D. in physics from Yale University and held research positions in astrophysics and cosmology in Munich and Barcelona before coming to the New York Times.

Noga Neeman is a data scientist at Via (http://ridewithvia.com/), an on-demand transit start-up, where she works with customer and driver data in order to predict demand and understand usage patterns. Before that, she was a fellow at Insight Data Science, which allowed her to make the transition from her PhD research in Computational Ecology at Drexel University.

W. Kevin Zhu is a data engineer at YipitData (http://yipitdata.com/), a research company that analyzes web data for institutional investors. Previously, Kevin worked as an investment analyst at New Holland Capital. He studied operations research and financial engineering at Princeton University, and has passed all 3 CFA exams.

Andrew Zirm received his PhD in Physics (Astrophysics thesis) from Johns Hopkins University. He studied galaxies in the distant universe during several postdocs and before becoming an Insight Fellow in the Summer of 2014 was a professor in Copenhagen, Denmark. Andrew is the first (and still only) Data Scientist at Greenhouse Software (http://www.greenhouse.io/), a SaaS recruiting optimization platform based in NYC.

Tom Vincent is currently a data scientist at Dow Jones / Wall Street Journal (http://www.dowjones.com/products/wsj/), where he spends his time between data journalism work with the newsroom, business problems related to the WSJ subscriber base, and building data products using Newswire data. He received a Ph.D in BioStatistics and held a research position in computational biology at Weill Cornell Medical College. His transition from academia to data science was facilitated by the Insight Data Science program, which he was a part of during the summer of 2014. Finally, Tom also has a strong background in whiskey.

Our moderator, Emily Gould, is a Senior Analyst of Data Product and Performance Marketing for American Express.