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Any interconnected and networked enterprise looking to gain a competitive advantage over its competition must face one simple truth — the vast amounts of raw business-related data being generated by modern enterprise operations must be properly collected, collated, cleaned, processed, and analyzed before data can be useful to decision-makers or stakeholders. The data scientist is responsible for determining the methodology of how all that work gets done.
This customizable hiring kit, written by Mark W. Kaelin from TechRepublic Premium, offers a framework your business can use to find the best data scientist for your organization. The kit includes salary details, a job description, interview questions, and a job advert.
Featured text from the download:
DETERMINING FACTORS, DESIRABLE PERSONALITY TRAITS, AND SKILLSETS
Data scientists typically have educational backgrounds in mathematics, statistics, computer science, or economics, but certain business management fields with statistical or scientific emphasis are also common. The data scientist uses their analytical, statistical, and programmatic skills to develop algorithmic methodologies, which can transform raw, large streams of data into useful information that can then be analyzed, parsed, and eventually used to make business decisions.
According to the U.S. Bureau of Labor Statistics, demand is high, as the employment of data scientists is projected to grow 36% up till 2033, much faster than the average for all occupations.
The competition for data professionals is likely to be fierce during this period. Recruiting managers and HR personnel should take this into consideration during the recruitment process.
Enhance your hiring methods with our in-depth 11-page document. Previously priced at $39, this is now available for download at just $9. Alternatively, enjoy complimentary access with a Premium annual subscription.
TIME SAVED: Crafting this content required 20 hours of dedicated writing, editing, research, and design.
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