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Tech Industry Salary Benchmark Data
Data Science and Analytics
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About
Salary and employment trends in AI, ML, and Data Science are detailed in this dataset, covering the years 2020 to 2025. It contains information on job roles, experience levels, and compensation within these technology sectors. For consistency, all salary data, originally in various currencies, has been converted to USD based on the average foreign exchange rate for the respective year. The data originates from aijobs.net and is processed and updated weekly, which may cause rankings to shift over time.
Columns
- work_year: The year the salary was paid.
- experience_level: The professional experience level for the role (EN: Entry-level, MI: Mid-level, SE: Senior-level, EX: Executive-level).
- employment_type: The nature of the employment contract (FT: Full-time, PT: Part-time, CT: Contract, FL: Freelance).
- job_title: The specific role or title held by the employee.
- salary: The total gross salary figure in the original currency.
- salary_currency: The ISO 4217 code for the currency of the salary.
- salary_in_usd: The salary converted to US Dollars.
- employee_residence: The employee's country of residence as an ISO 3166 code.
- remote_ratio: The extent of remote work performed (0: On-site, 50: Hybrid, 100: Fully remote).
- company_location: The country of the employer's main office as an ISO 3166 code.
- company_size: The size of the company based on the number of employees (S: Small, M: Medium, L: Large).
Distribution
The dataset is provided as a single CSV file named
salaries.csv, with a file size of 4.89 MB. It includes 88,600 valid records across 11 columns, with no missing or mismatched data reported.Usage
This dataset is ideal for analysing salary benchmarks, understanding compensation structures across different roles and experience levels, and exploring employment trends in the AI, ML, and Data Science sectors. It can be used for market research, recruitment strategy, academic studies, and personal career planning.
Coverage
- Geographic Scope: The data has a global reach, with employee residences from 96 unique countries and company locations from 90 unique countries. However, there is a strong concentration in the United States, which represents 90% of both employee residences and company locations.
- Time Range: The dataset covers the period from 2020 to 2025.
- Demographic Scope: The data primarily represents full-time (99%) employees at the senior (58%) and mid-level (30%). The most frequent job titles are Data Scientist and Data Engineer, though 312 unique titles are present. Most data points are from medium-sized companies (97%).
License
CC0: Public Domain
Who Can Use It
- HR Professionals and Recruiters: To establish competitive salary benchmarks for talent acquisition.
- Data Analysts and Scientists: For research into compensation trends and salary modelling.
- Job Seekers and Career Planners: To research market rates for specific roles to aid in salary negotiations.
- Academic Researchers: To study labour market dynamics within the technology industry.
- Businesses: To inform budgeting for data-related roles and understand market competition.
Dataset Name Suggestions
- AI, ML & Data Science Salary Trends (2020-2025)
- Global Tech Salaries in AI and Data Science
- AI and Machine Learning Professional Compensation Study
- Data Science Career and Salary Insights
- Tech Industry Salary Benchmark Data
Attributes
Original Data Source: Tech Industry Salary Benchmark Data
QUALITY