Data Science: Professional Requirements and Competence Evaluation

The paper discusses the contemporary approach to structure of Data Science understanding in the sense of professional requirements, skills and competences for Data Science professionals. The roles of such fields as statistics, data mining, and predictive analytics are described as well as the importance of Machine Learning and Software Engineering. The list of main skills for Data Scientist is compiled. On the base of the defined skills authors suggested an approach for Data Scientist competence evaluations using Internet Portal for SE&ST Master Programs graduates competence evaluation and certification (SECEIP).