Dark Mode
Data Science Salary Benchmark Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Provides salary information for professionals in the AI, Machine Learning, and Data Science fields from around the world. This data is collected anonymously to offer better guidance on global pay scales. It is a valuable resource for new professionals, experienced experts, hiring managers, recruiters, and individuals considering a career change, enabling them to make better-informed decisions regarding compensation.
Columns
- work_year: The year the salary was paid.
- experience_level: The professional's experience level during the specified year (EN: Entry-level, MI: Mid-level, SE: Senior-level, EX: Executive-level).
- employment_type: The type of employment (PT: Part-time, FT: Full-time, CT: Contract, FL: Freelance).
- job_title: The specific role or job title.
- salary: The total gross salary amount in the local currency.
- salary_currency: The currency of the salary, provided as an ISO 4217 code.
- salary_in_usd: The salary converted to US Dollars.
- employee_residence: The employee's country of residence, provided as an ISO 3166 country code.
- remote_ratio: The percentage of work performed remotely (0: On-site, 50: Hybrid, 100: Fully remote).
- company_location: The country of the employer's main office, provided as an ISO 3166 country code.
- company_size: The size of the company by employee count (S: Small, M: Medium, L: Large).
Distribution
The dataset is provided in CSV format with 11 columns and 7,974 records.
Usage
This dataset is ideal for analysing salary trends across different experience levels, job titles, and geographic locations in the AI and data science industry. It can be used for salary benchmarking, market research, and academic studies. Data scientists can use it to build predictive models for salary estimation, while HR professionals can leverage it for creating competitive compensation packages.
Coverage
The data spans the years 2020 to 2023 and includes salary information from professionals residing in 85 different countries. A significant portion of the data (approximately 85%) comes from employees residing in the United States.
License
CC0: Public Domain
Who Can Use It
- Aspiring Data Scientists: To research potential earnings at different stages of their careers.
- HR Professionals and Recruiters: To benchmark salaries and develop competitive compensation strategies.
- Data Analysts and Researchers: To study global salary trends and the impact of factors like remote work and company size.
- Hiring Managers and Founders: To make informed decisions when setting salaries for new hires in the AI and data space.
Dataset Name Suggestions
- Global AI & Data Science Salaries
- AI Professional Compensation Survey
- Data Science Salary Benchmark Data
- Worldwide AI, ML, and Data Salaries
- Tech Salary Insights: AI & Data Science
Attributes
Original Data Source: Data Science Salary Benchmark Data
QUALITY