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Global Recruitment & Salary Prediction Data
Data Science and Analytics
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About
A valuable resource for building advanced AI solutions, this data product focuses on personalized job matching based on skills, experience, and candidate preferences. It contains 50,000 job postings and offers structured insights into global hiring patterns, required skills identification, salary distribution dynamics, and market trends analysis. This data is essential for developing predictive models and enhancing recruitment technology.
Columns
- job_title: The specific name of the role being advertised, featuring 639 distinct titles (e.g., Software Engineer, Marketing Manager).
- company: The employer offering the position, represented by 37,022 unique company names, demonstrating a wide array of employers.
- location: The city or region where the job is based.
- experience_level: The required seniority level, segmented into three categories: Entry-Level, Mid-Level, and Senior-Level.
- salary_range: The offered salary brackets, ranging from $40,000 to $150,000.
- industry: The job sector, such as Software or Manufacturing.
- required_skills: A list detailing the technical and soft skills necessary for the role, with 1,559 unique skills noted.
Distribution
The dataset comprises 50,000 individual job postings. It consists of 7 columns and is delivered as a 5.53 MB file (likely CSV format). Critically, the data quality is exceptionally high, with all columns displaying 100% valid records and no missing values. The experience levels are distributed fairly evenly across Entry-Level (34%), Mid-Level (33%), and Senior-Level (33%). Salary data reflects a mean of $95.1K, with a standard deviation of $31.8K.
Usage
This data is perfectly suited for several high-impact applications:
- Developing AI-powered Job Recommendation Systems that match candidates based on skills and stated preferences.
- Creating Machine Learning models for Salary Prediction to accurately estimate compensation based on job attributes.
- Conducting sophisticated Hiring Trend Analysis to identify the most sought-after industries and skills.
- Performing Candidate Skill Gap Analysis by comparing current job requirements against potential applicants' capabilities.
- Supporting Market Research efforts to better understand industry-wide labour patterns.
Coverage
The data reflects job distributions across seven major industries, with Software being the most frequent sector (15%). Geographic coverage includes seven unique locations globally, with Toronto and London being the most common cities (14% distribution each). The salary data covers a full spectrum from $40K up to $150K. The dataset is fixed and has an expected update frequency of "Never."
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers designing and training job-matching algorithms.
- HR Professionals and Talent Acquisition Specialists seeking to benchmark salaries and analyze hiring patterns.
- Researchers interested in studying labour market dynamics, skill demands, and industry evolution.
- Job Seekers looking to understand market requirements, in-demand skills (such as Python, SQL, and Sales), and expected compensation ranges.
Dataset Name Suggestions
- AI-Powered Job Market Insights (50K Postings)
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Attributes
Original Data Source:Global Recruitment & Salary Prediction Data
QUALITY