In a competitive business universe, the more successful companies innovate, iterate, evolve, and improve their products and services. For many industries, this drive to innovate not only applies to the finished product, but also to the processes required to create the finished product. A stagnation of ideas could cost a company market share and perhaps much more.
Generally tasked with creating and improving computer software and hardware, the computer research scientist works to turn abstract algorithms into practical improvements in efficiency and productivity. These scientists often play integral roles in artificial intelligence, machine learning, autonomous vehicles, and robotics.
This customizable hiring kit, written by Mark W. Kaelin for TechRepublic Premium, provides a framework you can use to find the best candidate for your organization. The kit includes salary details, a job description, interview questions, and a job advert.
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DETERMINING FACTORS, DESIRABLE PERSONALITY TRAITS, AND SKILLSETS
First and foremost, due to the nature of the job, a computer research scientist must have demonstrable technical expertise supported by an advanced education marked by a master’s degree or PhD. For spectacular individuals, a bachelor’s degree may be acceptable, but that is a rare occurrence.
The best candidates will demonstrate the innate ability to think abstractly. While a cliché term, “thinking out of the box,” concisely describes how a scientist working in a business environment can produce inspiration and innovation. Some candidates may even seem eccentric when compared to C-level executives with business school backgrounds, but that is the nature of the position.
Better candidates will display an innate ability to transfer abstract thinking into practical use cases. Through collaboration and coordination with programmers, fabricators, and engineers, a computer research scientist must be able to communicate their innovative ideas so they can be implemented. This delicate dance between inspiration and implementation is crucial to the success of a computer research scientist.
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