Recruitment Dataset

Context

In today’s competitive job market, companies receive numerous applications for each job posting, making it challenging to efficiently screen and shortlist candidates. This dataset is designed to facilitate research and development in resume screening, job matching, and recruitment analytics. It can be used to build machine learning models for applicant-job matching, automate resume parsing, and analyze hiring trends.

Dataset Overview

This dataset contains applicant details, resumes, job descriptions, and matching labels to assess how well a candidate fits a specific job role. It can be used to explore factors affecting job selection, identify biases in hiring, and improve applicant tracking systems.

Data Sources & Collection

The dataset was compiled from synthetic and publicly available job application data. It is structured to resemble real-world hiring scenarios, making it useful for data science and HR analytics projects. The resumes and job descriptions are either anonymized, synthesized, or derived from publicly accessible recruitment data.

Columns Description

Job Applicant Name – Full name of the applicant.
Age – Applicant’s age.
Gender – Applicant’s gender identity.
Race – Racial background of the applicant.
Ethnicity – Ethnic identity of the applicant.
Resume – Text content of the applicant’s resume, including skills, experience, and education.
Job Roles – The job positions for which the applicant applied.
Job Description – A detailed description of the job role, including required skills, responsibilities, and qualifications.
Best Match – A label or score indicating how well the applicant matches the job role based on qualifications and experience.

Inspiration & Use Cases

This dataset is useful for:
✅ Building AI-powered resume-screening models to automate candidate selection.
✅ Developing job recommendation systems that suggest the best roles for applicants.
✅ Analyzing hiring trends & biases in recruitment based on age, gender, or ethnicity.
✅ Training NLP models for resume parsing and job description understanding.

Potential Applications

AI-based Applicant Tracking Systems (ATS)
HR Analytics & Hiring Bias Studies
Resume-Job Matching Algorithms
Data-Driven Career Counseling

🚀 We encourage data scientists, recruiters, and HR tech enthusiasts to explore this dataset and build innovative solutions!