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?