Data scientists develop innovative solutions to business challenges by applying their mathematical and analytical skills to detect patterns in very large datasets. Their work improves the performance of information systems and databases and leads to technological advancements and efficiencies, such as better networking technology, faster computing speeds and improved data security. Candidates must have strong analytical, data mining, multivariate statistical modeling and quantitative analysis skills, as well as experience in programming languages — commonly Python or Java — and writing SQL queries for data manipulation. Most employers require five to 10 years’ experience in computer science or information systems, as well as a bachelor’s degree, master’s degree or PhD in a quantitative discipline.
Typical data scientist duties:
Developing and executing technical visions, including planning, technical decision making and project management in order to support business decisions and company growthPresenting complex analyses as action-oriented recommendationsManaging and merging data from multiple sources and generating reportsReviewing applications, data sets and models for anomalies to ensure accuracyApplying effective algorithms to large-scale data modeling
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