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AI Risk Comparison

Data Scientists vs Blockchain Engineers

Compare AI replacement risk, automatable work, resilient skills, and potential career pivots for both occupations.

Safer role
Blockchain Engineers
Higher risk
Data Scientists
Risk gap
2 points
TechnologyO*NET: 15-2051.00

Data Scientists

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

AI Risk Score

8/100
Very Low

Lower risk: the role depends more on human judgment and context.

Automation factors

  • Provide data-driven insights and recommendations

Top skills

Recommended career pivots

Statisticians67/100Statistical Assistants93/100Financial Quantitative Analysts93/100Operations Research Analysts45/100Bioinformatics Scientists41/100
TechnologyO*NET: 15-1299.07

Blockchain Engineers

Maintain and support distributed and decentralized blockchain-based networks or block-chain applications such as cryptocurrency exchange, payment processing, document sharing, and digital voting. Design and deploy secure block-chain design patterns and solutions over geographically distributed networks using advanced technologies. May assist with infrastructure setup and testing for application transparency and security.

AI Risk Score

6/100
Very Low

Lower risk: the role depends more on human judgment and context.

Automation factors

  • Provide data-driven insights and recommendations

Top skills

Recommended career pivots

Software Developers55/100Computer Systems Engineers/Architects51/100Database Architects57/100Database Administrators53/100Information Security Engineers54/100

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