Which job is safer from AI: Data Scientists or Database Architects?

Data Scientists is safer from AI based on ReplacedByAI risk scores. Data Scientists has an AI replacement risk score of 8/100 (Very Low), while Database Architects has a score of 57/100 (Medium).

What is Data Scientists's AI replacement risk?

Data Scientists has an AI replacement risk score of 8/100, which ReplacedByAI classifies as very low risk. Lower risk: the role depends more on human judgment and context.

What is Database Architects's AI replacement risk?

Database Architects has an AI replacement risk score of 57/100, which ReplacedByAI classifies as medium risk. Moderate risk: AI can reshape important parts of the role.

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AI Risk Comparison

Data Scientists vs Database Architects

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

Safer role

Data Scientists

Higher risk

Database Architects

Risk gap

49 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

Statisticians67/100 Statistical Assistants93/100 Financial Quantitative Analysts93/100 Operations Research Analysts45/100 Bioinformatics Scientists41/100

TechnologyO*NET: 15-1243.00

Database Architects

Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.

AI Risk Score

57/100

Medium

Moderate risk: AI can reshape important parts of the role.

Automation factors

Develop and document database architectures.
Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
Develop data models for applications, metadata tables, views or related database structures.
Working with Computers
Analyzing Data or Information

Top skills

Reading Comprehension3.88/5

Critical Thinking3.88/5

Complex Problem Solving3.88/5

Judgment and Decision Making3.88/5

Systems Analysis3.75/5

Recommended career pivots

Database Administrators53/100 Data Warehousing Specialists59/100 Software Developers55/100 Computer Systems Analysts44/100 Computer Systems Engineers/Architects51/100

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