Toward a Knowledge Discovery Framework for Data Science Job Market in the United States

TL;DR

This paper presents a comprehensive framework for analyzing the US data science job market, offering insights into skills, distribution, and trends to guide individuals and organizations.

Contribution

It introduces a novel framework with data collection, information extraction, and visualization modules to analyze and visualize data science job market trends and skills.

Findings

Identifies key skills for different data science job branches

Provides a web-based tool for skill and job market analysis

Analyzes spatial and temporal distribution of data science jobs

Abstract

The growth of the data science field requires better tools to understand such a fast-paced growing domain. Moreover, individuals from different backgrounds became interested in following a career as data scientists. Therefore, providing a quantitative guide for individuals and organizations to understand the skills required in the job market would be crucial. This paper introduces a framework to analyze the job market for data science-related jobs within the US while providing an interface to access insights in this market. The proposed framework includes three sub-modules allowing continuous data collection, information extraction, and a web-based dashboard visualization to investigate the spatial and temporal distribution of data science-related jobs and skills. The result of this work shows important skills for the main branches of data science jobs and attempts to provide a skill-based definition of these data science branches. The current version of this application is deployed on the web and allows individuals and institutes to investigate skills required for data science positions through the industry lens.