Restless Bandit Description

Restless Bandit compiles and analyzes tens of millions of resumes and job postings each year to create its statistical Talent Rediscovery models, providing a valuable resource for exploring labor market dynamics. The dataset predominantly includes information from white-collar occupations, with this specific analysis utilizing 19,258,407 individual resumes. To categorize these resumes into industry classifications, the Restless Bandit data science team employed a vector space model to compare companies based on the resumes submitted. By scrutinizing millions of these documents, patterns begin to emerge indicating which companies tend to recruit similar talent. For instance, Eli Lilly frequently hires candidates from a cluster of firms including Merck and Novartis. Companies that exhibit a strong similarity in their hiring patterns are subsequently organized into specific industry segments. While ample data has been collected to assess diversity levels for each Global 2000 company, this report will concentrate solely on industry segments to ensure the confidentiality of corporate information. Additionally, this focused approach allows for a more comprehensive understanding of industry-wide trends without compromising individual company identities.

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Company Details

Company:
Restless Bandit
Year Founded:
2014
Headquarters:
United States
Website:
www.restlessbandit.com

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Restless Bandit Screenshot 1
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Product Details

Platforms
Web-Based

Restless Bandit Features and Options

Recruiting Software

Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal

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