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AI Risk Comparison

Data Scientists vs Statisticians

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

Safer role
Data Scientists
Higher risk
Statisticians
Risk gap
59 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

TechnologyO*NET: 15-2041.00

Statisticians

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

AI Risk Score

67/100
High

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

Automation factors

  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Analyzing Data or Information
  • Working with Computers

Top skills

Mathematics4.88/5
Reading Comprehension4.00/5
Critical Thinking4.00/5
Active Listening3.88/5
Speaking3.88/5

Recommended career pivots

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