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Global Data Science Job Salaries
Data Science and Analytics
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About
This dataset offers key insights into data science job salaries from 2020 to 2025, providing details on experience levels, employment types, job titles, and company characteristics. It serves as an invaluable resource for understanding salary trends and factors that influence compensation within the dynamic data science field.
Columns
The dataset comprises 11 columns, each offering distinct information:
- work_year: The year pertaining to the job salary data.
- experience_level: Describes the employee's experience, such as entry-level, mid-level, or senior-level.
- employment_type: Specifies the type of employment, including full-time, part-time, or contract.
- job_title: The particular role or title of the employee within data science.
- salary: The employee's raw salary figure.
- salary_currency: The currency in which the salary is originally denoted.
- salary_in_usd: The salary amount standardised by converting to US dollars.
- employee_residence: The geographical location where the employee resides.
- remote_ratio: Indicates the proportion of remote work permitted for the position.
- company_location: The geographical location of the employing company.
- company_size: The size classification of the company, often based on employee count or revenue.
Distribution
This dataset is provided in a CSV format and is approximately 5.16 MB in size. It is a tabular dataset containing around 93,600 records across its 11 columns.
Usage
This dataset is highly suitable for:
- Analysing salary trends and variations in data science roles over specific periods and across different demographic groups.
- Benchmarking salaries against industry standards.
- Understanding the impact of various factors, such as experience level and company size, on overall compensation.
- Informing career decisions for individuals working within or aspiring to join the data science domain.
Coverage
The dataset spans a time range from 2020 to 2025. Geographically, it covers global data, with a significant majority of records indicating employee residence and company locations in the United States and Canada. Demographically, it includes insights across different experience levels, employment types, and company sizes.
License
CC0: Public Domain
Who Can Use It
This dataset is ideal for:
- Data scientists and analysts for market research and trend identification.
- HR professionals and recruiters for salary benchmarking and talent acquisition strategies.
- Students and career advisors for understanding industry compensation and guiding career paths.
- Researchers interested in employment and economic trends within the technology sector.
Dataset Name Suggestions
- Data Science Salary Trends 2020-2025
- Global Data Science Job Salaries
- AI-Jobs.net Data Science Compensation
- Data Science Employment Insights
Attributes
Original Data Source: Global Data Science Job Salaries
QUALITY