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Key statistics

The identity block — every fact is canon, none is generated.

4 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6 · P7

19-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Experienced geologist who independently leads geological analysis and exploration efforts to guide resource development decisions. At the Senior Professional (P4) level, the role owns a system or set of related features, devises new approaches, and drives multi-team / function outcomes. Technical lead for focused efforts; mentors several.

What this level does

Own complex prospects or geotechnical assessments end-to-end, selecting interpretation methods and integrating field, log, and geophysical data
Lead prospect or development-well studies that affect a whole play, deposit area, or project, and defend the geologic model to review committees
Manage project geological activities against deadline and budget requirements, presenting to clients, government agencies, and executive management
Provide in-depth structural and stratigraphic analysis of ambiguous subsurface variables, and lead small teams of geologists on discrete projects

Knowledge applied: Applies in-depth, multi-disciplinary geologic analysis to complex prospects or geotechnical studies, selecting methods and integrating varied data sources.
Complexity & problem solving: In-depth analysis of complex, ambiguous subsurface variables with functional impact on a play, deposit, or project.
Collaboration & interaction: Coordinates across geoscience, engineering, and commercial groups; influences committee and management decisions; may lead project teams.
Typical experience: 8+ years, often with graduate education in geology.

Skills at this level

Well log correlation: — Correlates wireline and core log signatures between wells to construct stratigraphic frameworks and cross-sections that constrain prospect and development interpretations.
Prospect generation and resource risking: — Generates individual exploration prospects and produces quantitative volumetric and chance-of-success estimates for presentation to and defense before resource review committees.
Subsurface and surface field investigation: — Conducts surface and subsurface geological field investigations — mapping, core and sample logging, and observation — to acquire the primary data underpinning geologic interpretation.
Interpretative geologic reporting: — Writes desk studies and interpretative reports that state geologic conclusions and their basis, going beyond the compilation of factual information to advise stakeholders.
3D geologic modeling and geophysical interpretation: — Builds deposit-scale 3D geologic models and integrates geophysical interpretation across the exploration-to-development lifecycle to represent mineralized or subsurface systems.
Deposit- to belt-scale structural analysis: — Analyzes the structural architecture of mineralized systems at belt to deposit scale, integrating field structural analysis with modeled and geophysical evidence.
GIS / GPS for geoscience: — Uses geographic information systems and GPS to capture, georeference, map, and analyze spatial geological data supporting field and interpretive workflows.
Geotechnical and engineering geologic assessment: — Performs engineering geologic assessments and foundation engineering studies, bearing named principal-in-charge accountability for the geologic basis of civil/geotechnical projects.
Expert witness and technical testimony: — Provides expert witness services and high-level geologic testimony, defending interpretive conclusions and site assessments in a legal or regulatory setting.
Project delivery to budget and schedule: — Manages geological project activities to meet deadline and budget requirements and presents data to stakeholders, clients, government agencies, and executive management.
Remote sensing for geology: — Applies remote sensing imagery and derived products to identify geologic features and target areas ahead of and alongside ground investigation.
Geological laboratory techniques: — Applies laboratory sample-preparation and analytical techniques used in geoscience to characterize rock, sediment, and core specimens.
Team guidance and mentorship: — Provides guidance to junior geologists across the exploration and geotechnical spectrum and assists supervisors in preparing annual and long-term geological plans.

Model-authored from 22 retrieved sources, then adversarially reviewed by an independent judge panel and held to a minimum-evidence floor before publication. Distinct from corpus-extracted content, which is labelled as such.

Pay across the ladder

Geology — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

Pay figures are modeled estimates from our market equation — level-differentiated, with honest-wide bands. They refresh as new leveling evidence lands; treat per-role dollars as directional.

Demand — is the field growing, or just turning over?

SOC 19-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-22.9%Geoscientists, Except Hydrologists and Geographers · United States

29,200 → 22,510 jobs

2,000 openings / year, split into:

replacement / exits 1,919

Growth — new jobs (4%)Exits — backfill (96%)

4% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.2%
Growth share of hiring: 4%
Exit / retention pressure high: 96%
Openings / year: 2,000

Two quantities, kept apart: observed = employment growth differenced from two BLS OEWS vintages (what already happened); projected = BLS Employment Projections 2024–34, openings decomposed into growth + exits (growth derived from projected employment change). Neither is a pay figure.

Where this role sits — growth vs. pay

level P4 held

Demand axis is projected growth (not raw openings — that just measures churn). A curated, de-duplicated set of recognizable occupations held at this level; this role is highlighted.

Where it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$178k

San Francisco-Oakland-Fremont, CA$160k

Washington-Arlington-Alexandria, DC-VA-MD-WV$148k

Boulder, CO$146k

Seattle-Tacoma-Bellevue, WA$146k

Boston-Cambridge-Newton, MA-NH$139k

Lexington Park, MD$136k

Trenton-Princeton, NJ$135k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $107k; the demand-cube initiative will add growth-by-metro.

What changes across the ladder

Level-distinction canon isn't available for the adjacent levels of this profile yet.

Level differentiators

What separates P4 (P4 — Senior Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A system or set of related features
Autonomy: Self-directed; reviewed at critical decision points
Complexity: Complex, ambiguous problems; devises new approaches
Impact: Multi-team / function outcomes
Decision rights: Owns technical decisions for a system; influences adjacent design
Leadership: Technical lead for focused efforts; mentors several

Full level-by-level matrix (side by side across the ladder) lives on the Ladder drill-down — not here.

Promotion

The next rung from P4 is P5.

Performance criteria for this profile render in the assessment kit →

People also watch

Nearest coordinate neighbors — same , same level. Each row's (confident / review / no match) comes from its — computed, not curated.

Profile	Key	Median	Δ structural
Chief Geoscience Officer	jf_geology::E4	$389,207†	confident0.06
Senior Manager, Geology	jf_geology::M4	$167,689†	confident0.06
Advanced Geology Technician	jf_geology::S4	$56,408†	confident0.06
Geologist	jf_geology::P3	$82,468†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

O*NET 19-2042

Core to this role. Click any element with an ⓘ for its O*NET definition. A job-specific capability model (SkillFrame) will sharpen this and add worked examples.

The Job Swatch

P4

jf_geology::P4

Senior Geologist

Geology

The swatch is JobFrame's core primitive: a hueset deterministically by the role's superfunction, the profileKey as its color code, the level ladder, and a content fingerprint. Two swatches that look alike are alike.

Because every role carries computable coordinates, similarity, leveling, and pricing become measurable instead of arguable— the whole point of "Pantone for jobs."

Structural

structural@1

Where it sits— position in the work taxonomy + level (weighted Gower, level > function > focus).

Track: P
Superfunction: industrial_energy_operations
Function: geoscience
Family: geology
Universal level: 4 / 8

Content

content@2

What it's about— a fingerprint over the role's tasks & capabilities.

Two roles can sit far apart structurally yet be close in content — that gap is itself a signal.

3-state matching

How any two swatches compare — a real distance in coordinate space, resolved to a calibrated verdict (never a fake "94% match").

Geomatics · P4review0.17

Geophysics · P4review0.17

Geothermal · P4review0.17

Petrophysics · P4review0.17

Technologist · P4review0.17

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@2live

Released 2026-07-28

pay@2live

Released 2026-07-02

semantic@1live

Released 2026-07-02

Coordinates belong to a frozen, versioned edition — a coordinate computed today still means the same thing next quarter. Re-fitting issues a new edition, so comparisons are never silently redefined.

How to read this profile

Every number here is traceable — to a named source, a stated method, and an as-of date — and each value is labeled by how we know it: observed from data, computed by a model, projected forward, or governed canon. Nothing is a black box, and nothing is invented to fill a gap.

Where every number comes from

What	Source & method	Edition	State
Median pay + range	JobFrame pay equation (function base × family multiplier × level × focus differential)	pay@2	computed
Pay across the ladder	Same equation applied at each universal level	pay@2	computed
Demand — growth & openings	BLS Employment Projections; openings decomposed into growth + exits	EP 2024–34	projected
Pay by metro	BLS OEWS metropolitan medians	OEWS 2024	observed
Level distinctions	JobFrame universal-level canon (scope · autonomy · complexity · impact · decision rights · leadership)	canon	canon
Capability cluster	O*NET Knowledge / Skills / Abilities	O*NET 19-2042	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@2 · pay@2 · semantic@1	computed
Related roles	Nearest neighbors in the structural coordinate space	structural@1	computed

The principles behind the numbers

Ranges, not false precision

Pay is P10 · median · P90, never a single misleading number.

Three honest states, never a fake %

Role matches resolve to confident / review / no-match — a calibrated verdict, not a made-up percentage.

Provenance on every value

Each number carries whether it's observed, computed, projected, or canon — so you always know how much to lean on it.

Gaps shown as gaps

When a figure isn't available at the grain you need, we say so — we don't fabricate a number to fill the cell.

Frozen, versioned editions

Pay and coordinate editions are pinned, so a comparison you make today still means the same thing next quarter.

Privacy by min-N

Any aggregate over people is suppressed below a minimum count, so no individual is identifiable.

Freshness

As of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)