Simple words: A practitioner of data science is a data scientist.
They apply their skills to achieve a broad spectrum of end results. They have the ability to find and
interpret rich data sources, manage large amounts of data despite hardware,
software and bandwidth constraints, merge data sources together, ensure
consistency of data-sets, create visualizations to aid in understanding data,
build mathematical models using the data, present and communicate the data
insights/findings to specialists and scientists in their team and if required
to a naive audience.
Data science is emerging to meet the
challenges of processing very large data sets i.e. "Big Data"
consisting of structured, unstructured or semi-structured data that large
enterprises produce. A domain at center stage of data science is the explosion
of new data generated from smart devices, web, mobile and social media. Data
science requires a versatile skill-set. Many practicing data scientists worldwide
specialize in specific domains such as the fields of marketing, medical,
security, fraud and finance.
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