Computer Science Researcher

Context:
- They can range from being an Applied Computer Scientist to being a Theoretical Computer Scientist.
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Example(s):
- Ada Lovelace, Alan Turing (1912-1954), Grace Hopper, Edsger W. Dijkstra, Alan Newell, Donald E. Knuth, Edgar F. Codd, Stephen A. Cook, Judea Pearl, ...
- …
- Jiawei Han, Martin Ester, Anoop Sarkar, Gabor Melli, ...
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Counter-Example(s):
- a Mathematician.
- a Software Engineer, such as a software programming worker.
- a Chemical Researcher.
- a Philosopher.
See: Computing Science.

References

https://code.berlin/en/blog/computer-science-software-engineering/
- QUOTE: Computer Scientists are first and foremost scientists. They possess a deep knowledge of the theoretical foundations in mathematics and information science and can develop complex algorithms and advance scientific research. They operate in a world of rigorous analyses, clearly defined concepts and proven facts.
  The digital skills in demand as described by employers, labor market studies and politicians are of a different kind. They involve the ability to interact with human beings and to create easy to use software solutions for real world problems with limited resources in a highly unreliable and dynamically changing environment.

http://en.wikipedia.org/wiki/Computer_scientist
- A computer scientist is a scientist who has acquired knowledge of computer science, the study of the theoretical foundations of information and computation and their application
  Computer scientists typically work on the theoretical side of computer systems, as opposed to the hardware side that computer engineers mainly focus on (although there is overlap). Although computer scientists can also focus their work and research on specific areas (such as algorithm and data structure development and design, software engineering, information theory, database theory, computational complexity theory, human-computer interaction, numerical analysis, programming language theory, computer graphics, and computer vision), their foundation is the theoretical study of computing from which these other fields derive.^[1]