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AI/ML/Data Science Compensation Data
Data Science and Analytics
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About
This dataset provides an in-depth look at salary information for roles in Artificial Intelligence (AI), Machine Learning (ML), and data science worldwide. Collected from professionals in these fields, it includes various parameters such as job titles, experience levels, employment types, and salaries. The data covers different years, with all currencies converted to USD, offering insights into remote work trends and company sizes. The dataset is regularly updated, ensuring current insights into the global tech salary landscape.
Columns
- work_year: The year the salary was paid.
- experience_level: The experience level in the job during the year, categorised as EN (Entry-level/Junior), MI (Mid-level/Intermediate), SE (Senior-level/Expert), or EX (Executive-level/Director).
- employment_type: The type of employment for the role, such as PT (Part-time), FT (Full-time), CT (Contract), or FL (Freelance).
- job_title: The specific role worked in during the year, for example, Data Scientist or Data Engineer.
- salary: The total gross salary amount paid.
- salary_currency: The currency of the salary paid, represented as an ISO 4217 currency code.
- salary_in_usd: The salary converted to US Dollars, based on the FX rate divided by the average USD rate of the respective year.
- employee_residence: The employee's primary country of residence during the work year, indicated by an ISO 3166 country code.
- remote_ratio: The overall percentage of work done remotely, ranging from 0 (No remote work), 50 (Partially remote/hybrid), to 100 (Fully remote).
- company_location: The country where the employer's main office or contracting branch is located, also an ISO 3166 country code.
- company_size: The average number of people who worked for the company during the year, categorised as S (less than 50 employees), M (50 to 250 employees), or L (more than 250 employees).
Distribution
The dataset is provided as a CSV file named
global_ai_ml_data_salaries.csv, with a file size of 2.27 MB. It comprises 11 columns and contains over 40,000 records. All columns are validated, showing no mismatched or missing data for the majority of records.Usage
This dataset is ideal for:
- Salary benchmarking for professionals in AI, ML, and data science roles.
- Analysing global salary trends and compensation structures.
- Researching the impact of remote work on salaries and employment.
- Gaining insights into company size correlations with salary levels.
- Supporting career planning and recruitment strategies in the tech industry.
Coverage
The dataset covers global salary information for roles in AI, ML, and data science, with data spanning from 2020 to 2024. The employee residence and company location data show a strong presence in the United States (91%) and Canada (3%), with other countries making up the remaining percentage. It includes various experience levels (Entry, Mid, Senior, Executive) and employment types.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for:
- Data Scientists and Analysts: For market research and trend analysis.
- HR Professionals and Recruiters: For salary benchmarking and talent acquisition strategies.
- Job Seekers: To understand salary expectations and market rates.
- Academics and Researchers: For studies on labour markets, technology trends, and global economics.
- Employers: To evaluate competitive compensation packages.
Dataset Name Suggestions
- Global AI & Data Science Salary Insights
- Worldwide Tech Salaries 2020-2024
- AI/ML/Data Science Compensation Data
- Remote Work & Tech Salaries Global
Attributes
Original Data Source: AI/ML/Data Science Compensation Data
QUALITY