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Indeed Data Science & ML Job Postings
Data Science and Analytics
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About
This dataset offers insights into job postings, primarily focusing on roles in Data Engineering, Data Analysis, Data Science, and Machine Learning Engineering. It contains approximately 1583 records of job information, providing a snapshot of the employment landscape in these fields. The dataset is ideal for understanding market demands and trends.
Columns
- job_title: The specific title of the job post.
- company: The name of the hiring company.
- job_location: The city and state where the job is located.
- job_summary: A detailed description outlining the purpose of the hiring.
- post_date: The date when the job was posted on Indeed.
- today: The date when the data was collected.
- job_salary: The expected salary range for the position.
- job_url: A direct link to the job posting for further details.
Distribution
The dataset is provided as a single CSV file, named 'job_dataset.csv'. It comprises 1583 rows and 8 columns, representing the structure of the collected job information. The data collection occurred around 26th July 2022.
Usage
This dataset is well-suited for various analytical tasks:
- Cleaning and refining job data.
- Identifying the most in-demand skills within the data and machine learning sectors.
- Analysing the geographical distribution of jobs.
- Conducting Natural Language Processing (NLP) and research on job descriptions.
- Market analysis for job seekers, recruiters, and educational institutions.
Coverage
The dataset has a global scope, with notable concentrations of job postings in locations such as Bengaluru, Karnataka (30%) and Gurgaon, Haryana (7%). The records primarily cover job postings for data-related roles, including Data Engineer, Data Analyst, Data Scientist, and ML Engineer, with data collected around July 2022. Some postings were listed over 30 days prior to the collection date.
License
CC0
Who Can Use It
This dataset is valuable for:
- Data Scientists and Analysts: For market research, trend analysis, and skill demand assessment.
- Machine Learning Engineers: To understand job requirements and role distributions.
- Researchers: For academic studies on labour markets and skill development.
- Job Seekers: To identify popular roles, required skills, and geographical opportunities.
- Companies and Recruiters: For talent acquisition strategies and competitor analysis.
Dataset Name Suggestions
- Indeed Data Science & ML Job Postings
- Global Data Roles Dataset
- Job Market Insights: Data Careers
- Data Analytics & AI Job Data
- UK Data Professional Vacancies
Attributes
Original Data Source: Indeed job (Data science /data analyst/ ML)
QUALITY