In this Data Modernization discussion, Wayne Sadin and Pablo Moreno explore data science, further breaking down what a data scientist is and what they do.
00:45 — C-suite executives need to understand what a data scientist is.
00:57 — Pablo explains that a data scientist is responsible for using data to answer three main questions:
- What happened in the past?
- Why did it happen?
- What is most likely to happen in the future?
Pablo says that data science is a combination of knowledge — technical and non-technical — that a scientist needs to answer those three questions in any scenario.
01:42 — Wayne challenges, “Why do we need data scientists?” Currently, the world relies on more data than it has relied on in the last several decades. Every year, the amount of data that is generated doubles, which means there need to be roles created for those who can ingest the data and then analyze and interpret it.
03:12 — Pablo thinks the term “data storyteller” is becoming a role for data professionals. Data storytellers are needed to use data to tell a cohesive story and contextualize the information. Once the data is strung together in a cohesive story, the audience can understand and process the information.
04:15 — How does one become a data scientist? Any person working with data is potentially a data scientist. Regardless of the scale of data that a person is working with, they are essentially a data scientist.
06:16 — Do citizen data scientists exist? From Pablo’s perspective, yes. If a citizen data user is working with data to create an analysis that is capable of turning insights into action, they will end up in the same place as a technical data scientist. Technical data scientists and citizen data scientists are using the same tools to get to the same conclusions.
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