Remote work impact on salary with experience level and company size as control variables: a strategic study examining data science jobs after the COVID-19 pandemic Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1080/23311975.2025.2577251
The current trend in flexible work has revolutionized the way businesses operate, with many employees working remotely. This study aims to fill the knowledge gap in understanding the impact of remote working on salary, with employee experience level and company size as control variables. Previous research has shown that employees are often reluctant to reveal their salaries, therefore, this study uses open-source data from kaggle.com. The analyzed data focused on United States data science workers from 2021 to 2023, a period that coincides with the easing of the COVID-19 pandemic and the increasing adoption of remote working models. The dataset includes 254 observations, which were analyzed using PLS-SEM tests. The findings revealed that remote work significantly affects salary when the control variables are included in the model. The control variables themselves also significantly affect salary, indicating that these variables are indeed important factors in determining salary. However, without entering control variables, remote work effect on salary becomes marginal. This study is the first to investigate such a model in data scientist jobs as the COVID-19 pandemic subsides. It offers insights into a salary predictor model for data scientists working remotely, which can contribute to the development of salary-determining policies in companies.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/23311975.2025.2577251
- OA Status
- gold
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- 84
- OpenAlex ID
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- DOI
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https://doi.org/10.1080/23311975.2025.2577251Digital Object Identifier
- Title
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Remote work impact on salary with experience level and company size as control variables: a strategic study examining data science jobs after the COVID-19 pandemicWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-11-01Full publication date if available
- Authors
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Teuku Roli Ilhamsyah Putra, Muhammad Iqbal Fajri, Syafruddin SyafruddinList of authors in order
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https://doi.org/10.1080/23311975.2025.2577251Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1080/23311975.2025.2577251Direct OA link when available
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0Total citation count in OpenAlex
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84Number of works referenced by this work
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