Insight on Competency Skills from Job Advertisement for Data Scientists

Abstract

The need for Data Science professionals is expanding rapidly as the Information Technology (IT) sector competes to control the dominion of data. Nevertheless, almost every association has a distinct method for identifying positions in Data Science and its related skills and expertise. Employers, educational institutions, and aspirant Data Science experts are now dealing with a bewildering industry landscape as a result. This research examines the definitions of Data Science and Data Scientist, as well as the Data Science careers in different nations. The data with 169 rows are extracted from LinkedIn and JobStreet which are based in Malaysia from February 2023 to April 2023 by using web crawling and web scraping techniques in Python. Next are the key competencies in a Data Scientist's toolkit which are hard and soft skills that would be analyzed through data visualization. For data processing and analysis, proficiency in programming languages such as R, Python, and SQL is required. In addition, proficiency with visualization tools like Tableau or Power BI allows for effective results. Furthermore, communication and visualization skills are essential for effective data storytelling. Data scientists must be excellent communicators to explain complex findings to both technical and non-technical stakeholders. It is easier to effectively share findings when visualizations that are aesthetically pleasing and data-driven are produced. Aspiring Data Scientists can benefit greatly from understanding the abilities and skills listed in job advertisements for Data Scientists. Individuals can position themselves as qualified candidates in this quickly changing sector by honing and demonstrating these talents.