Abstract

Numerous roles within the Information Technology sector have transitioned to remote working in the aftermath of the COVID-19 pandemic. This research presents a comprehensive analysis of salary trends in the Information Technology sector, data science field from 2020 to 2023, with a special focus on the impact of remote working. The primary objective is to explore how remote working influences salary structures in the data science field by examining a range of job-related variables. A quantitative research approach combining exploratory data analysis and statistical analysis was employed in finding insights on a publicly available dataset acquired from Kaggle. Findings of this research conclude that experience significantly influences salary in the Information Technology sector, data science field, overshadowing factors like company size and remote working types. It was also revealed that remote working constituted a substantial portion of the employment structure, reflecting the data science field shift towards flexible work arrangements. While remote working is increasingly popular, its impact on salaries is less pronounced than expected. For stakeholders in the Information Technology sector, data science field, this research highlights the importance of considering experience and geographical location in salary structuring and suggests a growing trend towards remote working, necessitating adjustments in employment practices and policies.

Keywords:
Remote Salaries, Equity, Data Analysis, Data Science, Quantitative.

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