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Geodetic Surveyors vs Data Scientists

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Geodetic Surveyors and Data Scientists on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Geodetic Surveyors Data Scientists
Median pay · BLS OEWS
$72,740
$112,590
Employment · BLS OEWS
53,080
233,440
AI exposure (percentile) · task overlap, not automation
51st pct
98th pct

At a glance

Dimension Geodetic Surveyors Data Scientists
Median pay $72,740 $112,590
Employment 53,080 233,440
Employment outlook (2024–34) · BLS projection About average (+4.4%) Growing fast (+33.5%)
Annual openings · BLS projection 3,900 23,400
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do not. Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies Moderate · 51st pct High · 98th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 82nd pct · 44% of tasks —
Observed AI use · Anthropic Economic Index — —
Mostly remote-capable · Dingel–Neiman Yes —

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Specific to Geodetic Surveyors

  • Mathematics
  • Mathematics
  • Reading Comprehension
  • Oral Comprehension
  • Written Comprehension
  • Oral Expression
  • Written Expression
  • Inductive Reasoning

Specific to Data Scientists

    Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

    Tools & technology

    Shared: Data base user interface and query software , Object or component oriented development software , Web platform development software , Operating system software , Spreadsheet software , Presentation software , Analytical or scientific software .

    Specific to Geodetic Surveyors

    Specific to Data Scientists

    Full profiles

    This page is a summary. See the complete source-backed profile for Geodetic Surveyors or Data Scientists — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

    More comparisons

    Related occupations you can place side by side on the same sourced scale.

    Sources for this page

    Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

    Data compiled June 2, 2026. Figures are estimates, not advice.

    Cite this page
    Plain

    Singulariki. "Geodetic Surveyors vs Data Scientists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/geodetic-surveyors-vs-data-scientists

    APA

    Singulariki. (2026). Geodetic Surveyors vs Data Scientists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/geodetic-surveyors-vs-data-scientists

    BibTeX 
    @misc{singulariki-geodetic-surveyors-vs-data-scientists,
  title  = {Geodetic Surveyors vs Data Scientists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/geodetic-surveyors-vs-data-scientists}
}

    Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.