🎯 Project Overview
Explore the landscape of AI, ML, and Data Science salaries globally with this comprehensive analysis. This project investigates salaries across various roles, experience levels, and locations to reveal trends and insights in the data science and machine learning job markets.
By examining various attributes such as experience level, employment type, job title, and location, the analysis aims to uncover trends, disparities, and insights in the global job market for AI, ML, and Data Science fields from 2020 to 2024.
📊 Dataset Description
The dataset comprises 20,565 rows and 11 columns covering comprehensive salary information:
- Work Year: Year when salary was recorded
- Experience Level: SE (Senior), MI (Mid-Level), EN (Entry), EX (Executive)
- Employment Type: FT (Full-Time), PT (Part-Time), CT (Contract), FL (Freelance)
- Job Title: Specific role (Data Scientist, ML Engineer, etc.)
- Salary: Amount in original currency
- Salary in USD: Standardized USD conversion for comparison
- Employee Residence: Location of the employee
- Remote Ratio: Percentage of remote work (0, 50, 100)
- Company Location: Where the company is based
- Company Size: S (Small), M (Medium), L (Large)
Data Quality
No missing values. Dataset contains 8,668 duplicate entries that were handled during preprocessing.
📈 Exploratory Data Analysis
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Salary Distribution
Overall distribution of AI/ML/DS salaries in USD.
Top Paid Roles
Highest paying job titles in the AI/ML industry.
Experience Level Distribution
Distribution of roles across experience levels.
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Most Common Roles
Top 20 most available job roles in the dataset.
Salary Trends 2020-2024
How salaries have evolved year over year.
Salary by Experience & Company Size
Impact of experience and company size on compensation.
Remote Work Impact on Salary
How remote work ratios affect compensation levels.
Salary by Country
Geographic salary variations from 2020-2024.
🎉 Key Insights
- Experience Premium: Executive and Senior-level positions command 2-3x higher salaries than entry-level roles
- Company Size Impact: Large companies consistently offer 20-30% higher compensation than small companies
- Geographic Disparities: US-based positions offer highest salaries, with significant regional variations globally
- Remote Work Trends: Fully remote positions show competitive salary ranges, narrowing geographic pay gaps
- Role Specialization: Specialized roles (ML Engineer, AI Architect) command premium over general Data Scientist positions
- Yearly Growth: Consistent year-over-year salary increases from 2020-2024, reflecting high demand for AI/ML talent