Skills Overview

Beamery's Skills Data capabilities represent one of the most comprehensive and sophisticated approaches to understanding talent in the HR technology space. Built on a foundation of 20+ billion data points and continuously updated from real-world signals, our skills infrastructure powers intelligent talent decisions at scale.

Introduction

The HR domain faces a fundamental challenge: skills are the currency of talent, yet they're incredibly difficult to standardize, measure, and track. Different industries use different terms. The same skill can have dozens of variations. New skills emerge constantly while others become obsolete.

Beamery addresses this through:

• A curated ontology of 32,000+ skills with 180,000+ variations
• Multi-language support across English, French, German, and Spanish
• AI-powered inference to extract skills from any text
• Continuous updates from 3M+ monthly job postings
• Enterprise customization while maintaining global standards

The Beamery Advantage

Skills Philosophy

Our approach to skills is guided by core principles that differentiate Beamery from simple keyword-matching systems.

1. Semantic Understanding

We treat skills as concepts in a knowledge graph, not just strings:

{
  "id": "skill_python_programming",
  "preferred_label": "Python Programming",
  "alternate_labels": [
    "Python", "Python Development", "Python Coding", "Python 3"
  ],
  "broader_concepts": ["Programming Languages", "Software Development"],
  "narrower_concepts": ["Django", "Flask", "Python Data Science"],
  "related_concepts": ["Software Engineering", "Backend Development"],
  "typical_roles": ["Software Engineer", "Data Scientist"],
  "proficiency_scale": ["Beginner", "Intermediate", "Advanced", "Expert"]
}

2. Contextual Intelligence

Skills mean different things in different contexts:

3. Evolution Tracking

Skills evolve over time, and we track these changes:

• Emerging skills detected from market signals
• Declining skills identified through reduced demand
• Skill transitions (e.g., AngularJS → Angular)
• Technology versions maintained as aliases

Skills Architecture

Our skills system is built on multiple interconnected layers:

Skill Types

Skill Relationships

Proficiency Framework

Each skill can be assessed at five levels:

Coverage & Languages

Skills Coverage by Language

Industry-Specific Coverage

We maintain deep coverage in key industries:

• Technology - 8,500+ technical skills
• Healthcare - 3,200+ medical and clinical skills
• Finance - 2,800+ financial and regulatory skills
• Manufacturing - 2,100+ industrial and engineering skills
• Retail - 1,800+ retail and customer service skills

Extensibility

New languages can be added:

• Latin-script languages: 6 weeks
• Non-Latin languages: 12 weeks
• Custom translations: Available on request

Customer Taxonomy Support

Blend Beamery's global taxonomy with your organization's specific needs:

Continuous Learning

Our system improves through:

• Usage patterns from your organization
• Feedback loops on match quality
• Market signals from job postings
• Academic research partnerships

Next Steps