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The market for a Data Scientist position is continually growing. This is because the field is a broad one that many companies are involved in and hire for. A Data Scientist has the responsibility of taking a set of data and interpreting it correctly so that it may be used in a variety of performance-enhancing aspects, programs, hardware and other areas dictated by the company. The work that a Data Scientist does will often be used to either create artificial intelligence or to enable artificial intelligence to operate more efficiently when it comes to the processes under its control.
A Data Scientist is sometimes referred to as a big data engineer because there is a lot of overlap with that field. This is because both fields require high skills when it comes to general science, software engineering and programming/debugging software. It should be no surprise then that the duties handled by a Data Scientist often include creating various tools for machine learning within a company as well as ranking and sorting various datasets. Because of the sheer amount of data and numbers being handled, this position requires a strong background in statistical analysis. A Data Scientist must also be up-to-date when it comes to state-of-the-art methods revolving around data mining, be comfortable using third-party sources of information and be able to verify, process and format that data as necessary.
Showcase your skill set, passions and career aspirations on your personalized Hired profile.
Respond to interview requests from employers for opportunities that match your goals and salary requirements.
Accept the opportunity that's right for you and start your next chapter!