The Potential Development Model for Data Scientist in Digital Era Organization

Abstract

       The Purposes of this research were: 1) to study the composition of data scientist potential among in digital era organization and 2) to create a model for developing data scientist potential in digital era organization. This study used a qualitative and quantitative mixed research method; which are 11 experts and 255 respondents. The qualitative study tools used in-depth interview. The tools used in the quantitative study are questionnaires including the executive in data science, data scientist and data science professional. Qualitative data analysis uses content analysis and quantitative data analysis using frequency, percentage, mean, standard deviation. and element analysis (Factor Analysis) with a packaged program.

       The results showed that The Potential Development Model for Data Scientist in Digital Era Organization consisted 9 components which are 3 aspects, namely Knowledge aspect consisted 3 components are Data Science Foundation Knowledge, Business Domain Knowledge and Job Responsibility Knowledge; Skills aspect consisted 3 components are  Working with Other Skills, Data Analytic and Processing Skills and Presentation Skills; and Attribute aspect consisted 3 components are Professional Attribute, Continuous Develop Mindset and Emotional Maturity.