The term, data-scientist, is becoming prevalent in science, engineering, business, and industry. We explore how the term is used in different contexts, segments, and sectors; we examine the different variants, flavors, and interpretations and try to answer the following questions:
- What does a data scientist really do?
- What skills does a data scientist need? How do they acquire them?
- What tools, technologies, and platforms are used by data scientists?
- How can we build data scientist capacity and capability for the future?
©2012 Microsoft Corporation. All rights reserved.
SpeakerKenji Takeda and Liz Lyon
HostKenji Takeda, Microsoft Research
AffiliationUniversity of Bath, UK; Microsoft Research Connections
Date recorded9 October 2012