AI-Powered Job Market

Key Features:

• Job Title:
  • Type: Categorical
  • Description: The specific title associated with each job role.
  • Examples: “AI Specialist”, “Project Manager”, “DevOps Engineer”
• Industry:
  • Type: Categorical
  • Description: The field or sector in which the job is based.
  • Examples: “Tech”, “Manufacturing”, “Retail”, “Healthcare”
• Company Size:
  • Type: Categorical
  • Categories: “Startup”, “SMB”, “Enterprise”
  • Description: Represents the scale of the company, from small startups to large enterprises.

Location:

• • Type: Categorical
  • Description: The geographical location of each job, with detailed focus on key cities and regions.
  • Examples: “San Francisco”, “Bangalore”, “Berlin”
• AI Adoption Level:
  • Type: Categorical
  • Categories: “Emerging”, “Intermediate”, “Advanced”
  • Description: How extensively AI technologies are integrated into company operations.
• Automation Risk:
  • Type: Categorical
  • Categories: “Low”, “Moderate”, “High”
  • Description: The likelihood that each job role may be automated within the next decade.
• Required Skills:
  • Type: Categorical
  • Description: Key skills in demand for the role.
  • Examples: “Machine Learning”, “Team Leadership”, “Cybersecurity”
• Salary (USD):
  • Type: Numerical
  • Range: $40,000 to $250,000
  • Description: Reflects the annual compensation range for the position in USD.