Data science is one of the fastest growing industries and has been called the ‘Sexiest job of the 21st Century’. But what exactly is data science? In this podcast, brought to you by DataCamp, Hugo Bowne-Anderson approaches the question by exploring what problems data science can solve rather than defining what data science is. From automated medical diagnosis and self-driving cars to recommendation systems and climate change, come on a journey with experts from industry and academia to explore the industry that will change the course of the 21st century.


episode 56: #56 Data Science at AT&T Labs Research

This week, Hugo speaks with Noemi Derzsy, a Senior Inventive Scientist at AT&T Labs within the Data Science and AI Research organization, where she does lots of science with lots of data.They’ll be talking about her work at AT&T Labs Research, the mission of which is to look beyond today’s technology solutions to invent disruptive technologies that meet future needs. AT&T Labs works on a multitude of projects, from product development at AT&T, to how to combat bias and fairness issues in targeted advertising and creating drones for cell tower inspection research that leverages AI, ML and video analytics. They’ll be talking about some of the work Noemi does, from characterizing human mobility from cellular network data to characterizing their mobile network to analyze how its topology compares to other real social networks reported to understanding tv viewership, and how engaged people are in different shows. They’ll discuss what the future of data science looks like, whether it will even be around in 2029 and what types of skills would help you land a job in a place like AT&T Labs.


  • DataFramed Guest Suggestions (who do you want to hear on DataFramed?)
  • Noemi on Twitter
  • Noemi's Website
  • Human Mobility Characterization from Cellular Network Data (By Richard Becker et al., Communications of the ACM)
  • AT&T Labs Research Website
  • NASA Datanauts Website
  • Open NASA Website
FROM THE SEGMENTSGuidelines for A/B Testing (with Emily Robinson ~18:23 & ~36:38)
  • Testing multiple statistical hypotheses resulted in spurious associations: a study of astrological signs and health (By Peter C. Austin et al., Journal of Clinical Epidemiology)
  • From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks (By Ya Xu et al., LinkedIn Corp)
  • Guidelines for A/B Testing (By Emily Robinson)
  • 10 Guidelines for A/B Testing Slides (By Emily Robinson)

Original music and sounds by The Sticks.


 2019-03-11  56m