Dark Mode
Google Hiring Skills Dataset
NLP / Natural Language Processing
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides valuable insights into the skills, languages, and experience required to secure a position at Google. It was created by scraping publicly available job data from Google's official career site, https://careers.google.com/, utilising Selenium for data extraction. The dataset's purpose is to help individuals identify the most sought-after qualifications for various Google roles, discover popular programming languages, and even assist in creating effective job applications or identical job posts. It includes details such as job titles, locations, responsibilities, and both minimum and preferred qualifications.
Columns
The dataset contains seven key columns, each providing specific details about Google job postings:
- Company: Specifies the company offering the job, predominantly "Google" (98%) and "YouTube" (2%).
- Title: The specific title of the job role.
- Category: The broader job category, such as "Sales & Account Management" or "Marketing & Communications".
- Location: The geographical location of the job, with common instances including Mountain View, CA, United States, and Sunnyvale, CA, United States.
- Responsibilities: A description of the core duties and tasks associated with the job.
- Minimum Qualifications: The essential qualifications that candidates must possess to be considered for the role.
- Preferred Qualifications: Additional skills, experiences, or attributes that are highly desirable for the position.
Distribution
The data is provided in a CSV (Comma Separated Values) format. The file size is approximately 1.88 MB, and it is structured with 7 distinct columns. The dataset features an estimated 1250 individual job records or rows, offering a substantial collection of job posting information.
Usage
This dataset is ideal for various applications and use cases, including:
- Job Seekers: To understand the specific skills, qualifications, and experiences Google looks for, helping them tailor their resumes and cover letters.
- Career Advisors: To offer informed guidance on career paths and necessary skill development for roles at leading technology companies.
- Data Analysts: For analysing trends in the tech job market, identifying skill gaps, and studying hiring patterns.
- Researchers: To conduct studies on corporate recruitment strategies and qualification requirements.
- Recruitment Professionals: To benchmark job descriptions and identify top talent characteristics for similar roles.
Coverage
The dataset's geographic scope includes job listings from various Google offices globally, with significant presence in locations like Mountain View, CA, and Sunnyvale, CA, United States. The time range for the data primarily pertains to job postings from 2018, indicated by references to internship programmes and graduation dates within that period. This dataset focuses on job attributes and requirements, and therefore does not cover demographic information about individuals.
License
CC BY-NC-SA 4.0
Who Can Use It
- Aspiring Google Employees: To prepare for interviews and align their professional development with Google's requirements.
- University Students: To understand industry expectations and plan their academic focus.
- Human Resources Professionals: To refine job descriptions and develop more effective talent acquisition strategies.
- Market Researchers: To analyse global hiring trends in the technology sector.
Dataset Name Suggestions
- Google Job Qualifications
- Google Career Path Insights
- Google Hiring Skills Dataset
- Google Job Market Data
Attributes
Original Data Source: Google Hiring Skills Dataset
QUALITY