Data Scientists collect and report on data, and communicate their findings to both business and technology leaders
in a way that can influence how an organization approaches a business challenge. They have a solid foundation in
computer science, mathematics and algorithms, human behavior, and knowledge of the industry they're working in.
Data scientists not only have to pay attention to the data and what it means, but understand the problems and know
about matching algorithms to those problems, and understand the engineering to come up with solutions.
Combining skills within statistics, computer science and analytics, the data scientist will extract meaning from the
data that will allow businesses to realize hidden revenue streams and business efficiencies.
Responsibilities of a Data Scientist include conducting extensive research, examining data from various angles to see
hidden weaknesses, trends and/or opportunities. They sift through huge volumes of data from multiple internal and
external sources and use complicated analytics programs, machine learning and statistical methods to prepare data.
Data scientist has to come up with data-driven solutions to pressing challenges and Invent new algorithms to solve
Data Scientist proceed to spend hours sifting and analyzing the data from multiple angles, looking for trends that
may uncover problems or opportunities. Any insight is then communicated to business and technology leaders with
recommendations to adapt existing business strategies. They have to explain findings to management and IT
departments through visualizations and reports and recommend cost-effective changes.
The term Data Scientist can cover many roles across many industries and organizations from academic, to finance, or
government. The finance, retail and e-commerce sectors are leading the way in hiring data scientists to help them
better understand different audience groups and target them with products specific to their tastes. However,
progress is also being made in industries such as telecoms, transport, and oil and gas, as more companies come to
rely on big data to make decisions that impact their sales, operations and workforce.
Entry Level Education
- Bachelor Degree in Computer Science, Math & Statistics, Management Information Systems, Economics,
Engineering or related field
- Master's, MBA or PhD. in related field s preferred.