________________________________________ *Corresponding author: Email: kevwe.onomeirikefe@gmail.com, kevwe.irikefe@gmail.com; Cite as: Onome-Irikefe, Kevwe. 2025. “Big Data in Recruitment: Ethical Challenges and Privacy Concerns”. Journal of Advances in Mathematics and Computer Science 40 (5):96-104. https://doi.org/10.9734/jamcs/2025/v40i52000. Journal of Advances in Mathematics and Computer Science Volume 40, Issue 5, Page 96-104, 2025; Article no.JAMCS.134776 ISSN: 2456-9968 (Past name: British Journal of Mathematics & Computer Science, Past ISSN: 2231-0851) _______________________________________________________________________________________________________________________________________ Big Data in Recruitment: Ethical Challenges and Privacy Concerns Kevwe Onome-Irikefe a* a University of Rochester, United States. Author’s contribution The sole author designed, analyzed, interpreted and prepared the manuscript. Article Information DOI: https://doi.org/10.9734/jamcs/2025/v40i52000 Open Peer Review History: This journal follows the Advanced Open Peer Review policy. Identity of the Reviewers, Editor(s) and additional Reviewers, peer review comments, different versions of the manuscript, comments of the editors, etc are available here: https://pr.sdiarticle5.com/review-history/134776 Received: 25/02/2025 Accepted: 27/04/2025 Published: 30/04/2025 __________________________________________________________________________________ Abstract Aims: This study aims to explore the ethical challenges and privacy concerns associated with the use of big data in recruitment processes, focusing on algorithmic bias, data privacy, and fairness in hiring practices. Study Design: The research employs a mixed-methods design, integrating qualitative interviews with HR professionals and quantitative data analysis to assess the implications of big data utilization in recruitment. Place and Duration of Study: The study was conducted across various organizations, focusing on their recruitment practices, over six months. Methodology: Qualitative interviews were conducted with HR professionals to gather insights on real-world experiences related to ethical challenges in recruitment. Additionally, a quantitative analysis of recruitment algorithms was performed to identify prevalent biases and their impact on hiring decisions, using statistical evidence to highlight significant findings. Results: The findings reveal that algorithmic bias is a profound issue in recruitment, with 62% of surveyed HR professionals acknowledging its influence on hiring decisions. Moreover, significant concerns regarding data privacy emerged, with 75% of respondents indicating that handling sensitive candidate information lacks adequate safeguards, increasing the risk of unauthorized access. Short Research Article