Data Science Job Market Analyzer
Salary Trends & Market Insights from 19K+ Job Postings
Project Overview
A comprehensive analysis of the data science job market using 19,558 real job postings collected from 2021-2024. This project uncovers salary trends, identifies top-paying roles, and provides insights into how experience level, location, and company size affect compensation.
Using Python and data visualization libraries, I analyzed job titles, salaries, locations, and experience requirements to help job seekers understand market dynamics and make informed career decisions.
Market Analysis
Salary Trends Over Time
Data science salaries have grown significantly from 2021 to 2024, increasing from $100K to $150K average. The sharp upward trend reflects strong demand for data science talent and the maturation of the field.
Top 15 Highest Paying Roles
AI Architects command the highest salaries at $247K average, followed by Directors of Data Science ($212K) and ML Engineers ($200K). Leadership and specialized AI roles consistently outpace general data science positions.
Salary by Experience Level
Clear salary progression exists from Entry ($89K) to Executive level ($192K). Senior roles make up 65% of all postings, indicating high demand for experienced professionals.
Top Paying Locations
United States dominates both in number of jobs and salary levels ($157K avg). Canada follows at $145K, with European markets offering lower but still competitive compensation.
Salary by Company Size
Interestingly, medium-sized companies offer the highest average salaries, likely due to the need to compete with larger firms for talent while maintaining startup-like flexibility.
Most Common Job Titles
Data Engineer is the most in-demand role with over 4,000 postings, followed closely by Data Scientist (3,883) and Data Analyst (2,839). ML Engineers round out the top four with 2,000 postings.
Key Insights
- Data science salaries increased 50% from 2021 to 2024, significantly outpacing inflation
- AI and ML specialized roles command 30-50% salary premiums over general data science positions
- Senior-level positions dominate the market (65% of postings), showing preference for experienced talent
- United States offers significantly higher compensation than other markets, averaging $157K vs $100K globally
- Data Engineer is the most in-demand role, with 4,088 postings - more than any other title
- Executive-level data science roles average $192K, with some positions exceeding $800K
- Medium-sized companies offer competitive salaries, often matching or exceeding large enterprise compensation
- Full-time positions make up 95%+ of the market, with contract and part-time work being rare