Applicant Tracking System (ATS) software is a tool used predominantly by human resources departments and recruiting agencies to streamline the hiring process. This software assists in managing job postings, organizing candidate information, screening applications, and tracking the progress of applicants through all stages of the hiring process. Key features typically include resume parsing, candidate scoring, automated communication for updates and feedback, interview scheduling, and comprehensive reporting on hiring metrics. ATS systems help reduce the administrative burden on recruiters by automating many tasks that would otherwise require manual input, such as filtering unqualified candidates based on predetermined criteria. By centralizing candidate data and facilitating easier communication, ATS software improves the efficiency and effectiveness of the recruitment process, ensuring that organizations can quickly find and hire the best candidates while enhancing the overall candidate experience.
Top 5*
Applicant Tracking
Rank | Skills | Candidates |
---|---|---|
1 | Recruitive | 27 |
2 | Pcrecruiter | 24 |
3 | RecruitX | 24 |
4 | Recruitee | 24 |
5 | erecruit | 24 |
6 | iRecruit | 24 |
7 | uRecruit | 24 |
8 | Jobsoid | 10 |
9 | HiringThing | 8 |
10 | PeopleSoft Talent Acquisition | 7 |
11 | NetSuite Recruitment | 6 |
12 | Sap Successfactors | 3 |
13 | Sap Successfactors Recruiting | 3 |
14 | ADP Recruiting | 0 |
15 | ADP Recruiting Management | 0 |
16 | Access-RMS | 0 |
17 | AkkenCloud | 0 |
18 | ApplicantPool | 0 |
19 | ApplicantPro | 0 |
20 | Applicantstack | 0 |

Luiz A.
Skills
A proficient researcher and developer with significant expertise in biological molecular research and diagnostic imaging technologies, specializing in public health solutions. Developed and assembled hardware for diagnostic equipment, leading to the publication of three Python packages aimed at enhancing system functionality. Experienced in computer vision, having designed feature extractors and combiners that utilize machine learning methodologies for data analysis. Holds a Master's degree in Materials Engineering and Sciences and a Bachelor's degree in Physics from a leading institution, demonstrating a solid foundation in scientific principles and applications.