Data Scientist

Data Scientist is also a big data term that defines a big data career. A data scientist is a practitioner of data science. He is proficient in mathematics, statistics, computer science, and/or data visualization who establish data models and algorithms for complex problems to solve them.

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61 percent of businesses that recognize the effect of data and analytics on their core business practices say their companies either have not responded to these changes or have taken only ad hoc actions rather than developing a comprehensive, long-term strategy for analytics.
29 percent of investment professionals use expert networks to derive data.
90% of enterprise analytics and business professionals currently say data and analytics are key to their organization’s digital transformation initiatives.
30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.
Businesses that use big data saw a 10 percent reduction in overall cost.
By 2020, there will be 2.7 million job postings for data science and analytics roles.
40 percent of businesses say they need to manage unstructured data on a frequent basis.
59 percent of executives say big data at their company would be improved through artificial intelligence (AI).
95 percent of businesses need to manage unstructured data.
By 2025, more than a quarter of all data created will be real-time, with 95% of that data generated by the Internet of Things.

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