The Infoq Podcast
Building a Data Science Capability with Stephanie Yee, Matei Zaharia, Sid Anand and Soups Ranjan
- Author: Vários
- Narrator: Vários
- Publisher: Podcast
- Duration: 0:43:09
- More information
Informações:
Synopsis
In this podcast, recorded live at QCon.ai, Principal Technical Advisor & QCon Chair Wes Reisz and InfoQ Editor-in-chief Charles Humble chair a panel discussion with Stephanie Yee, data scientist at StitchFix, Matei Zaharia, professor of computer science at Stanford and chief scientist at Data Bricks, Sid Anand, chief data engineer at PayPal, and Soups Ranjan, director of data science at CoinBase. Why listen to this podcast: - Before you start putting a data science team together make sure you have a business goal or question that you want to answer; If you have a specific question, like increasing lift on a metric, or understanding customer usage patterns, you know where you can get the data from, and you can then figure out how to organise that data. - You need to make sure you have the right culture for the team - and find people who are excited about solving the business problems and be interested in it. Also look at the environment you are going to provide. - Your first hire shouldn’t be a data s