Data Scientist vs Blockchain Developer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Data Scientist
Analyse large datasets and build predictive models to drive decisions.
Blockchain Developer
Build decentralised applications and smart contracts on blockchain.
Blockchain Developer earns more on average — the national median is $15,750/year (13%) higher than a Data Scientist. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Data Scientist vs Blockchain Developer — Salary by City
National median figures in USD across top cities.
| City | Data Scientist | Blockchain Developer | Difference |
|---|---|---|---|
| San Francisco, CA | $176,777 | $192,216 | Data $15,439 |
| New York, NY | $135,980 | $166,830 | Data $30,850 |
| Seattle, WA | $173,186 | $197,295 | Data $24,109 |
| Austin, TX | $130,733 | $148,358 | Data $17,625 |
| Chicago, IL | $132,415 | $149,793 | Data $17,378 |
| Boston, MA | $156,115 | $179,964 | Data $23,849 |
| London, UK | £78,216 | £104,478 | Data $26,262 |
| Toronto, Canada | CA$134,265 | CA$182,210 | Data $47,945 |
Frequently Asked Questions
Does a Data Scientist or Blockchain Developer earn more?+
A Blockchain Developer earns more on average. The national median salary for a Data Scientist is $120,230/year, compared to $135,980/year for a Blockchain Developer — a difference of $15,750 (13%).
Which has better career growth — Data Scientist or Blockchain Developer?+
Data Scientist roles are growing at 36% YoY while Blockchain Developer demand is growing at 30% YoY. Data Scientist has stronger near-term demand growth.
Can you switch from Data Scientist to Blockchain Developer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Data Scientist or Blockchain Developer?+
Blockchain Developer has a lower AI automation risk (30% vs 40%). Based on Oxford Martin School and McKinsey 2023 analysis.