NEW YORK--(BUSINESS WIRE)--Domino Data Lab, the fastest growing data science platform by market share, today announced its New York Data Science Pop-Up event, a day-long forum of fascinating talks and workshops on data science applications in finance, retail and technology.
Domino encourages professionals in technical computing, data science, journalism, business intelligence, finance, retail, and e-commerce to register for the event, held Wednesday, June 14 from 8:00am to 8:00pm at Galvanize, 315 Hudson Street.
Domino’s New York Data Science Pop-Up is part of a series of events the firm hosts in major cities such as San Francisco, Dallas, London and Chicago that brings together quantitative researchers who are passionate about asking the right questions and identifying problems worth solving. The goal is to present real stories about the cutting-edge work being done today in data science.
Keynote speakers include Chris Kakkanatt, Chief Data Scientist, Pfizer; Max Shron, Head of Data Science, Warby Parker; and Jennifer Shin, Senior Principal Data Scientist, Nielsen.
Panel topics include:
- The State of Data Science in the Beauty and Retail Space
- Building Up Local Models of Customers
- How to Use Data Science to Affect Company Change
- Essence & Accident In Data Science
- Interfacing With Decision Makers Across Warby Parker
- Bias, Ethics, and Social Justice in the age of AI
This year’s sponsors include O’Reilly, R Studio, Galvanize, and Plotly.
To register for the conference, please visit https://popup.dominodatalab.com/nyc2017. If you’re with the media and would like to request a press pass, please contact Jessica Schaefer at Jessica@bevelpr.com or 646-395-6304.