◈ EMPLOYMENT · SCIENCE · 19-2099.01
Remote Sensing Scientists and Technologists
O*NET 30.3 · BLS OEWS May 2025 · Boise Standard Employment Graph
◈ EMPLOYMENT · SCIENCE 19-2099.01 ◉ HIGH CONFIDENCE Built 2026-06-02
Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · SOC 2018 (Public Domain) · Wikipedia (CC BY-SA 4.0 where matched)
Atomic Answer — Primary AI Citation Target
Remote Sensing Scientists and Technologists
Remote Sensing Scientists and Technologists apply specialized principles and methods to analyze satellite, aerial, and ground-based sensor data for applications in natural resource management, urban planning, and homeland security. They develop new sensor systems, analytical techniques, and applications while processing complex geospatial datasets to extract meaningful insights. These professionals serve as critical data analysts who transform raw sensor information into actionable intelligence for scientific, governmental, and commercial decision-making.
22,300
National Employment
$122,570
Median Annual Wage
JZ 4
Job Zone
Federal, State, and Local
Primary Industry
Occupation Graph — Declared + Reasoned Edges
onet declared
Remote Sensing Technicians
Primary-Short
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Electro-Mechanical and Mechatronics Technologists and Technicians
Primary-Short
onet declared
Geographic Information Systems Technologists and Technicians
Primary-Short
onet declared
Geological Technicians, Except Hydrologic Technicians
Primary-Short
onet declared
Geodetic Surveyors
Primary-Short
onet declared
Surveying and Mapping Technicians
Primary-Long
skill overlap
Geographic Information Systems Technologists and Technicians
Both roles share high-level geography knowledge (4.8 importance) and work extensively with computers and geospatial data analysis.
knowledge overlap
Cartographers and Photogrammetrists
Shared emphasis on geography knowledge, mathematics, and design principles for creating visual representations of spatial data.
riasec cluster
Atmospheric and Space Scientists
Both roles share investigative and realistic orientations with similar emphasis on scientific analysis and technical problem-solving.
career pathway
Remote Sensing Technicians
Direct career progression pathway where technicians can advance to scientist roles with additional education and experience.
§ Feeder Roles
Remote Sensing Technicians
Geographic Information Systems Technologists and Technicians
Geological Technicians, Except Hydrologic Technicians
§ Destinations
Atmospheric and Space Scientists
Aerospace Engineers
Cartographers and Photogrammetrists
§ RIASEC Peers
Geographers
Environmental Scientists
GIS Analysts
Role Intelligence — Day in the Life · Who Thrives · Automation
Day in the Life

A typical day involves managing and analyzing large datasets from aircraft, satellites, or ground-based platforms using statistical analysis software and image processing tools. They integrate multiple geospatial data sources into comprehensive projects and compile image data to increase its usefulness for specific applications. Much time is spent organizing and maintaining geospatial databases with associated documentation, followed by preparing reports or presentations of project findings. Collaboration is frequent, as they discuss project goals, equipment requirements, and methodologies with team members and colleagues. They also design strategies for data collection, analysis, and display while developing technical databases for remote sensing projects.

Who Thrives

Professionals who excel in this field possess strong investigative and realistic orientations, demonstrating exceptional deductive and inductive reasoning abilities. They thrive on intellectual curiosity and maintain meticulous attention to detail while working with complex technical systems and large datasets. Successful remote sensing specialists combine strong analytical thinking with excellent communication skills, as they must interpret technical findings for diverse audiences. They are dependable self-directed learners who enjoy working at the intersection of technology, geography, and data science, often spending long periods focused on computer-intensive analysis tasks.

Automation Outlook

This role has moderate automation resistance due to its emphasis on complex analytical reasoning and interpretation of meaning for others. While data processing tools continue advancing, the core activities of making decisions, solving problems, and interpreting complex geospatial information require human expertise that current automation cannot fully replicate. The emerging focus on drone-based remote sensing may actually increase demand as new data collection methods require skilled analysts.

Emerging Tasks
New   Develop protocols and procedures for planning and executing drone-based remote sensing missions to ensure they comply with standards and requirements. 05/2025
Market Intelligence — BLS OEWS May 2025
The field employs 22,300 professionals nationwide with a median annual salary of $122,570 according to BLS OEWS May 2025, ranging from $67,000 to $195,190 for the 10th to 90th percentiles. Geographic wage variation is significant, with the District of Columbia offering the highest median at $156,730 compared to Indiana's $68,670, representing a 2.28x ratio. The largest employer is government (federal, state, and local) with 11,600 positions, followed by professional services (4,400) and educational institutions (4,050). Emerging drone technology and increasing demand for geospatial intelligence suggest continued growth opportunities, particularly in homeland security and environmental monitoring applications.
$67,000
10th
$86,620
25th
$122,570
Median
$161,890
75th
$195,190
90th
Highest Paying State
District of Columbia
$156,730 median
Geographic Dispersion
2.282x
highest / lowest median
Federal, State, and Local Government, excludi 11,600 emp $126,440
Professional, Scientific, and Technical Servi 4,400 emp $128,720
Educational Services 4,050 emp $83,200
Manufacturing 1,380 emp $178,720
Management of Companies and Enterprises 400 emp $176,440
Source: BLS Occupational Employment and Wage Statistics May 2025 ↗ · Public Domain · US Government
Skills + Knowledge — O*NET 30.3 Scored Dimensions
§ Essential Skills (importance 1-5)
Reading Comprehension 4.0
Critical Thinking 4.0
Active Listening 3.9
Writing 3.9
Speaking 3.9
Science 3.9
Mathematics 3.8
Active Learning 3.4
Monitoring 3.4
Learning Strategies 3.1
§ Knowledge Domains (importance 1-5)
Geography 4.8
Computers and Electronics 4.2
Mathematics 4.2
Engineering and Technology 3.9
English Language 3.7
Physics 3.5
Design 3.2
Administration and Management 3.1
Customer and Personal Service 3.1
Biology 3.0
Source: O*NET 30.3 Database ↗ · CC BY 4.0
RIASEC Interest Profile + Personality Fit — O*NET 30.3
R
Realistic
4.86
TOP FIT
I
Investigative
6.09
TOP FIT
A
Artistic
1.93
S
Social
1.27
E
Enterprising
1.44
C
Conventional
4.81
TOP FIT
§ Who Thrives
Professionals who excel in this field possess strong investigative and realistic orientations, demonstrating exceptional deductive and inductive reasoning abilities. They thrive on intellectual curiosity and maintain meticulous attention to detail while working with complex technical systems and large datasets. Successful remote sensing specialists combine strong analytical thinking with excellent communication skills, as they must interpret technical findings for diverse audiences. They are dependable self-directed learners who enjoy working at the intersection of technology, geography, and data science, often spending long periods focused on computer-intensive analysis tasks.
Source: O*NET 30.3 Career Interest Types ↗ · Scale: OI Occupational Interests 1-7
Tasks + Detailed Work Activities — O*NET 30.3
Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
Core 25% of incumbents
Analyze geological or geographical data.
Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
Core 25% of incumbents
Analyze geological or geographical data.
Integrate other geospatial data sources into projects.
Core 25% of incumbents
Analyze geological or geographical data.
Organize and maintain geospatial data and associated documentation.
Core 25% of incumbents
Record research or operational data.
Compile and format image data to increase its usefulness.
Core 25% of incumbents
Create images or other visual displays.
Prepare or deliver reports or presentations of geospatial project information.
Core 25% of incumbents
Prepare scientific or technical reports
Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
Core 25% of incumbents
Collaborate with others to develop or reDiscuss design or technical features of
Process aerial or satellite imagery to create products such as land cover maps.
Core 25% of incumbents
Compile geographic or related data.
Design or implement strategies for collection, analysis, or display of geographic data.
Core 25% of incumbents
Develop environmental research methods.
Develop or build databases for remote sensing or related geospatial project information.
Core 25% of incumbents
Develop technical or scientific database
Source: O*NET 30.3 Task Statements + DWA Mappings ↗ · Incumbent-reported · CC BY 4.0
◈ Software Tools — O*NET 30.3 · Hot Technology + In Demand Flagged
Adobe Creative Cloud software
Graphics or photo imaging software
HOT
Aeronautical charts
Charting software
Agisoft Metashape
Analytical or scientific software
Airdata
Project management software
Amazon DynamoDB
Data base management system software
HOT
Amazon Elastic Compute Cloud EC2
Data base user interface and query softw
HOT
Amazon Redshift
Data base user interface and query softw
HOT
Amazon Simple Storage Service S3
Storage networking software
Amazon Web Services AWS CloudFormation
Cloud-based management software
HOT
Amazon Web Services AWS software
Data base user interface and query softw
HOT
Ansible software
Expert system software
HOT
Apache Hadoop
Data base management system software
HOT
Apache Hive
Data base management system software
HOT
Apache HTTP Server
Application server software
Apache Kafka
Development environment software
HOT
ArduPilot Mission Planner
Aviation ground support software
Atlassian JIRA
Project management software
HOT
BAE Systems SOCET GXP
Map creation software
Source: O*NET 30.3 Software Skills ↗ · CC BY 4.0
Career Pathway — Entry · Trajectory · Education
1
Entry
2
Some Prep
3
Medium
4
Considerable
5
Extensive
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in acco
Entry into this field typically requires a bachelor's degree, with 60% of professionals holding this level of education, while 20% advance with master's degrees. Educational backgrounds commonly include geography, earth sciences, computer science, engineering, or related STEM fields with coursework in remote sensing, GIS, and data analysis. Many professionals also obtain post-baccalaureate certificates in specialized remote sensing applications. Relevant experience can be gained through internships with government agencies, research institutions, or geospatial technology companies.
Career advancement often leads to senior research scientist positions, project management roles, or specialized consulting in emerging technologies like drone-based sensing systems. Many professionals transition into leadership positions within government agencies, particularly in defense and environmental monitoring sectors. Advanced practitioners may become independent consultants or move into executive roles within geospatial technology companies. Some pursue doctoral degrees and academic careers, conducting cutting-edge research in sensor development and analytical methodologies.
Bachelor's Degree 60.0%
Master's Degree 20.0%
Post-Baccalaureate Certificate - awarded for 16.0%
Associate's Degree (or other 2-year degree) 4.0%
Source: O*NET 30.3 Education + Job Zones ↗ · CC BY 4.0
Live Job Feed — Active Postings
Live Remote Sensing Scientists and Technologists job postings populate here as the crawler feeds data. The Boise Standard employment crawler indexes ATS platforms directly — Workday, iCIMS, Greenhouse, Lever, Ashby, Taleo — and normalizes every posting to the O*NET ontology.

Postings appear within hours of going live on the source ATS. No aggregator lag. Direct from source.
Browse Science Feed → Submit Open Position →
◈ SEMANTIC MANIFOLD — MULTI-SOURCE WORD FREQUENCY FINGERPRINT
Top 40 terms across five provenance layers: O*NET Tasks · O*NET Dimensions · DWAs · Wikipedia · Inference · Stop words removed · Deterministic · Constitutional Law III
tendency others equipment sensing remote technical principles techniques geospatial activities analysis problems includes control objects geographic applications ideas software technology
§ Full Frequency Ranking — 40 terms
TERM COUNT FREQ BAR SOURCE ATTRIBUTION
tendency 42 0.0147
onet dimensi 100%
others 41 0.0143
onet dimensi 93% dwas 5%
equipment 29 0.0101
onet dimensi 79% dwas 10%
sensing 21 0.0073
onet tasks 67% inference 33%
remote 20 0.0070
onet tasks 70% inference 30%
technical 18 0.0063
dwas 50% inference 22%
principles 17 0.0059
onet dimensi 94% inference 6%
techniques 14 0.0049
onet dimensi 71% onet tasks 14%
geospatial 13 0.0045
inference 54% onet tasks 31%
activities 13 0.0045
onet dimensi 69% dwas 15%
analysis 12 0.0042
onet dimensi 33% inference 33%
problems 12 0.0042
onet dimensi 75% dwas 17%
includes 12 0.0042
onet dimensi 100%
control 12 0.0042
onet dimensi 100%
objects 12 0.0042
onet dimensi 100%
geographic 11 0.0038
wikipedia 45% onet tasks 18%
applications 11 0.0038
inference 45% onet dimensi 36%
ideas 11 0.0038
onet dimensi 100%
software 10 0.0035
onet tasks 50% onet dimensi 30%
technology 10 0.0035
onet dimensi 40% inference 40%
procedures 10 0.0035
onet dimensi 80% onet tasks 10%
standards 10 0.0035
onet dimensi 80% onet tasks 10%
science 10 0.0035
wikipedia 50% inference 30%
monitoring 10 0.0035
onet dimensi 80% inference 20%
human 10 0.0035
onet dimensi 70% wikipedia 20%
management 10 0.0035
onet dimensi 70% inference 20%
materials 10 0.0035
onet dimensi 100%
body 10 0.0035
onet dimensi 100%
products 9 0.0031
onet dimensi 56% dwas 22%
design 9 0.0031
onet dimensi 67% onet tasks 11%
BOISE STANDARD — FINE-TUNING RECORD · Remote Sensing Scientists and Technologists
19-2099.01 · 8 QA pairs · jsonl · O*NET 30.3 + BLS OEWS
How many Remote Sensing Scientists and Technologists are employed nationally, and what is the median annual salary?
According to BLS OEWS May 2025, 22,300 professionals are employed in this field with a median annual salary of $122,570.
factual BLS OEWS May 2025
What is the wage range for the 10th to 90th percentile in this occupation?
According to BLS OEWS May 2025, the wage range spans from $67,000 at the 10th percentile to $195,190 at the 90th percentile.
factual BLS OEWS May 2025
Which state offers the highest median salary for Remote Sensing Scientists and Technologists?
According to BLS OEWS May 2025, District of Columbia offers the highest median salary at $156,730, reflecting strong demand in federal government agencies.
market_intel BLS OEWS May 2025
What are the primary employment sectors for Remote Sensing Scientists and Technologists?
According to BLS OEWS May 2025, primary employers are Federal, State, and Local Government; Professional, Scientific, and Technical Services; and Educational Services.
market_intel BLS OEWS May 2025
What educational pathway should I follow to enter this field?
Entry typically requires a bachelor's degree; 60% of professionals hold this credential. Consider pursuing a degree in geography, geology, environmental science, or related STEM field with coursework in GIS and remote sensing systems.
career_advice BLS OEWS May 2025 education distribution
What personality traits and cognitive strengths are essential for success in this role?
Professionals who excel demonstrate strong investigative and realistic orientations with exceptional deductive and inductive reasoning. Top work styles include dependability, attention to detail, and intellectual curiosity.
career_advice RIASEC profile (I:6.09, R:4.86)
How does a Remote Sensing Scientist differ from a Remote Sensing Technician in career progression?
Remote Sensing Technicians (19-4099.03) serve as entry-level roles for advancement into Remote Sensing Scientist positions, which emphasize research, analysis, and decision-making with higher compensation and educational requirements.
comparative BLS occupation hierarchy
What skills should I develop to maximize earning potential in this field?
Focus on advanced technical skills: AWS cloud platforms (EC2, Redshift), Agisoft Metashape for photogrammetry, critical thinking, and strong communication abilities. These competencies align with the field's data-intensive, technology-driven nature (4.8 computer work rating).
comparative Bundle skills/software data, work activities analysis
◈ Boise Standard Employment Graph · 19-2099.01 · minted 2026-06-02T16:18:30Z · Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · BS: https://boisestandard.org/employment/19-2099-remote_sensing_scientists_and_technologists
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Boise Standard · The Standard of Information · boisestandard.org ↗
Provenance Window — Full Source Record · 19-2099.01 · Remote Sensing Scientists and Technologists 7 source blocks · click to expand
O*NET Identity onetonline.org ↗ · O*NET 30.3 · CC BY 4.0 · retrieved 2026-06-02
[('onet_soc_code', '19-2099.01'), ('soc_code', '19-2099'), ('title', 'Remote Sensing Scientists and Technologists'), ('vertical', 'science'), ('job_zone', '4'), ('job_zone_name', 'Job Zone Four: Considerable Preparation Needed'), ('job_zone_exp', 'A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an a'), ('description', 'Apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security. May develop new sensor systems, analytical techniques, or new applications for existing systems.'), ('bundle_version', '1'), ('built_at', '2026-06-02T16:18:30Z')]
O*NET Task Statements (24 tasks, 1 emerging) O*NET 30.3 Task Statements · Incumbent-reported · CC BY 4.0
[Core] [25% incumbents] Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
  DWAs: Analyze geological or geographical data.

[Core] [25% incumbents] Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
  DWAs: Analyze geological or geographical data.

[Core] [25% incumbents] Integrate other geospatial data sources into projects.
  DWAs: Analyze geological or geographical data.

[Core] [25% incumbents] Organize and maintain geospatial data and associated documentation.
  DWAs: Record research or operational data.

[Core] [25% incumbents] Compile and format image data to increase its usefulness.
  DWAs: Create images or other visual displays.

[Core] [25% incumbents] Prepare or deliver reports or presentations of geospatial project information.
  DWAs: Prepare scientific or technical reports or presentations.

[Core] [25% incumbents] Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
  DWAs: Collaborate with others to develop or refine designs. | Discuss design or technical features of products or services with technical personnel.

[Core] [25% incumbents] Process aerial or satellite imagery to create products such as land cover maps.
  DWAs: Compile geographic or related data.

[Core] [25% incumbents] Design or implement strategies for collection, analysis, or display of geographic data.
  DWAs: Develop environmental research methods.

[Core] [25% incumbents] Develop or build databases for remote sensing or related geospatial project information.
  DWAs: Develop technical or scientific databases.

[Core] [25% incumbents] Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.
  DWAs: Collect geographical or geological field data. | Collect environmental data or samples.

[Core] [25% incumbents] Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.
  DWAs: Assess equipment functioning. | Analyze physical, survey, or geographic data.

[Core] [25% incumbents] Train technicians in the use of remote sensing technology.
  DWAs: Train personnel in technical or scientific procedures.

[Core] [25% incumbents] Set up or maintain remote sensing data collection systems.
  DWAs: Set up laboratory or field equipment.

[Core] [25% incumbents] Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.
  DWAs: Direct technical activities or operations.

[Core] [25% incumbents] Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.
  DWAs: Review professional literature to maintain professional knowledge. | Attend conferences or workshops to maintain professional knowledge.

[Core] [25% incumbents] Conduct research into the application or enhancement of remote sensing technology.
  DWAs: Evaluate new technologies or methods.

[Core] [25% incumbents] Recommend new remote sensing hardware or software acquisitions.
  DWAs: Advise others on the development or use of new technologies.

[Core] [25% incumbents] Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.
  DWAs: Apply knowledge or research findings to address environmental problems.

[Core] [25% incumbents] Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.
  DWAs: Develop software or applications for scientific or technical use.

[Core] [25% incumbents] Develop new analytical techniques or sensor systems.
  DWAs: Develop specifications for new products or processes. | Develop technical specifications for systems or equipment.

[Core] [25% incumbents] Participate in fieldwork.
  DWAs: Collect geographical or geological field data.

[Core] [25% incumbents] Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues.
  DWAs: Apply knowledge or research findings to address environmental problems.

[Core] [25% incumbents] Direct installation or testing of new remote sensing hardware or software.
  DWAs: Direct technical activities or operations.

[EMERGING:New] Develop protocols and procedures for planning and executing drone-based remote sensing missions to ensure they comply with standards and requirements.
O*NET Scored Dimensions — Skills, Knowledge, Abilities, Work Activities O*NET 30.3 · CC BY 4.0 · domain_source: Incumbent/Analyst/Machine Learning
--- SKILLS ---
  Reading Comprehension (imp:4.00 lvl:4.75) — Understanding written sentences and paragraphs in work-related documents.
  Critical Thinking (imp:4.00 lvl:4.38) — Using logic and reasoning to identify the strengths and weaknesses of alternativ
  Active Listening (imp:3.88 lvl:4.00) — Giving full attention to what other people are saying, taking time to understand
  Writing (imp:3.88 lvl:4.62) — Communicating effectively in writing as appropriate for the needs of the audienc
  Speaking (imp:3.88 lvl:4.25) — Talking to others to convey information effectively.
  Science (imp:3.88 lvl:4.00) — Using scientific rules and methods to solve problems.
  Mathematics (imp:3.75 lvl:4.12) — Using mathematics to solve problems.
  Active Learning (imp:3.38 lvl:4.00) — Understanding the implications of new information for both current and future pr
  Monitoring (imp:3.38 lvl:3.88) — Monitoring/Assessing performance of yourself, other individuals, or organization
  Learning Strategies (imp:3.12 lvl:3.12) — Selecting and using training/instructional methods and procedures appropriate fo

--- KNOWLEDGE ---
  Geography (imp:4.84 lvl:6.44) — Knowledge of principles and methods for describing the features of land, sea, an
  Computers and Electronics (imp:4.20 lvl:5.32) — Knowledge of circuit boards, processors, chips, electronic equipment, and comput
  Mathematics (imp:4.20 lvl:5.40) — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their appl
  Engineering and Technology (imp:3.88 lvl:5.21) — Knowledge of the practical application of engineering science and technology. Th
  English Language (imp:3.68 lvl:4.48) — Knowledge of the structure and content of the English language including the mea
  Physics (imp:3.48 lvl:4.16) — Knowledge and prediction of physical principles, laws, their interrelationships,
  Design (imp:3.24 lvl:4.20) — Knowledge of design techniques, tools, and principles involved in production of 
  Administration and Management (imp:3.12 lvl:3.80) — Knowledge of business and management principles involved in strategic planning, 
  Customer and Personal Service (imp:3.12 lvl:3.52) — Knowledge of principles and processes for providing customer and personal servic
  Biology (imp:3.00 lvl:3.72) — Knowledge of plant and animal organisms, their tissues, cells, functions, interd
  Education and Training (imp:2.96 lvl:4.44) — Knowledge of principles and methods for curriculum and training design, teaching
  Production and Processing (imp:2.83 lvl:3.25) — Knowledge of raw materials, production processes, quality control, costs, and ot
  Communications and Media (imp:2.68 lvl:3.12) — Knowledge of media production, communication, and dissemination techniques and m
  Public Safety and Security (imp:2.62 lvl:2.76) — Knowledge of relevant equipment, policies, procedures, and strategies to promote
  Telecommunications (imp:2.56 lvl:2.56) — Knowledge of transmission, broadcasting, switching, control, and operation of te
  Administrative (imp:2.52 lvl:3.32) — Knowledge of administrative and office procedures and systems such as word proce
  History and Archeology (imp:2.40 lvl:3.00) — Knowledge of historical events and their causes, indicators, and effects on civi
  Sociology and Anthropology (imp:2.36 lvl:2.76) — Knowledge of group behavior and dynamics, societal trends and influences, human 
  Transportation (imp:2.29 lvl:2.40) — Knowledge of principles and methods for moving people or goods by air, rail, sea
  Personnel and Human Resources (imp:2.28 lvl:2.64) — Knowledge of principles and procedures for personnel recruitment, selection, tra
  Law and Government (imp:2.20 lvl:2.40) — Knowledge of laws, legal codes, court procedures, precedents, government regulat
  Sales and Marketing (imp:1.96 lvl:2.48) — Knowledge of principles and methods for showing, promoting, and selling products
  Chemistry (imp:1.96 lvl:2.00) — Knowledge of the chemical composition, structure, and properties of substances a
  Economics and Accounting (imp:1.88 lvl:1.56) — Knowledge of economic and accounting principles and practices, the financial mar
  Mechanical (imp:1.84 lvl:1.76) — Knowledge of machines and tools, including their designs, uses, repair, and main
  Psychology (imp:1.84 lvl:1.40) — Knowledge of human behavior and performance; individual differences in ability, 
  Foreign Language (imp:1.60 lvl:1.24) — Knowledge of the structure and content of a foreign (non-English) language inclu
  Building and Construction (imp:1.52 lvl:0.92) — Knowledge of materials, methods, and the tools involved in the construction or r
  Philosophy and Theology (imp:1.48 lvl:1.04) — Knowledge of different philosophical systems and religions. This includes their 
  Fine Arts (imp:1.32 lvl:0.64) — Knowledge of the theory and techniques required to compose, produce, and perform
  Medicine and Dentistry (imp:1.20 lvl:0.32) — Knowledge of the information and techniques needed to diagnose and treat human i
  Food Production (imp:1.12 lvl:0.40) — Knowledge of techniques and equipment for planting, growing, and harvesting food
  Therapy and Counseling (imp:1.12 lvl:0.24) — Knowledge of principles, methods, and procedures for diagnosis, treatment, and r

--- ABILITIES ---
  Deductive Reasoning (imp:4.25 lvl:4.62) — The ability to apply general rules to specific problems to produce answers that 
  Inductive Reasoning (imp:4.25 lvl:4.50) — The ability to combine pieces of information to form general rules or conclusion
  Oral Comprehension (imp:4.00 lvl:4.75) — The ability to listen to and understand information and ideas presented through 
  Written Comprehension (imp:4.00 lvl:4.88) — The ability to read and understand information and ideas presented in writing.
  Oral Expression (imp:4.00 lvl:4.75) — The ability to communicate information and ideas in speaking so others will unde
  Written Expression (imp:4.00 lvl:4.62) — The ability to communicate information and ideas in writing so others will under
  Problem Sensitivity (imp:4.00 lvl:4.12) — The ability to tell when something is wrong or is likely to go wrong. It does no
  Near Vision (imp:4.00 lvl:3.88) — The ability to see details at close range (within a few feet of the observer).
  Information Ordering (imp:3.88 lvl:4.12) — The ability to arrange things or actions in a certain order or pattern according
  Mathematical Reasoning (imp:3.88 lvl:4.25) — The ability to choose the right mathematical methods or formulas to solve a prob
  Category Flexibility (imp:3.75 lvl:4.12) — The ability to generate or use different sets of rules for combining or grouping
  Fluency of Ideas (imp:3.62 lvl:3.88) — The ability to come up with a number of ideas about a topic (the number of ideas
  Number Facility (imp:3.62 lvl:4.00) — The ability to add, subtract, multiply, or divide quickly and correctly.
  Speech Clarity (imp:3.62 lvl:3.62) — The ability to speak clearly so others can understand you.
  Flexibility of Closure (imp:3.50 lvl:3.38) — The ability to identify or detect a known pattern (a figure, object, word, or so
  Originality (imp:3.38 lvl:3.88) — The ability to come up with unusual or clever ideas about a given topic or situa
  Speech Recognition (imp:3.38 lvl:3.25) — The ability to identify and understand the speech of another person.
  Visualization (imp:3.12 lvl:3.25) — The ability to imagine how something will look after it is moved around or when 
  Perceptual Speed (imp:3.00 lvl:3.00) — The ability to quickly and accurately compare similarities and differences among
  Selective Attention (imp:3.00 lvl:3.00) — The ability to concentrate on a task over a period of time without being distrac
  Far Vision (imp:3.00 lvl:2.88) — The ability to see details at a distance.
  Memorization (imp:2.62 lvl:2.62) — The ability to remember information such as words, numbers, pictures, and proced
  Speed of Closure (imp:2.50 lvl:2.38) — The ability to quickly make sense of, combine, and organize information into mea
  Time Sharing (imp:2.50 lvl:2.38) — The ability to shift back and forth between two or more activities or sources of
  Visual Color Discrimination (imp:2.50 lvl:2.62) — The ability to match or detect differences between colors, including shades of c
  Finger Dexterity (imp:2.38 lvl:1.88) — The ability to make precisely coordinated movements of the fingers of one or bot
  Control Precision (imp:2.12 lvl:2.12) — The ability to quickly and repeatedly adjust the controls of a machine or a vehi
  Arm-Hand Steadiness (imp:2.00 lvl:1.88) — The ability to keep your hand and arm steady while moving your arm or while hold
  Depth Perception (imp:2.00 lvl:1.88) — The ability to judge which of several objects is closer or farther away from you
  Hearing Sensitivity (imp:2.00 lvl:2.00) — The ability to detect or tell the differences between sounds that vary in pitch 
  Auditory Attention (imp:2.00 lvl:1.75) — The ability to focus on a single source of sound in the presence of other distra
  Manual Dexterity (imp:1.88 lvl:1.62) — The ability to quickly move your hand, your hand together with your arm, or your
  Trunk Strength (imp:1.75 lvl:1.38) — The ability to use your abdominal and lower back muscles to support part of the 
  Spatial Orientation (imp:1.38 lvl:0.50) — The ability to know your location in relation to the environment or to know wher
  Reaction Time (imp:1.38 lvl:0.50) — The ability to quickly respond (with the hand, finger, or foot) to a signal (sou
  Wrist-Finger Speed (imp:1.38 lvl:0.50) — The ability to make fast, simple, repeated movements of the fingers, hands, and 
  Rate Control (imp:1.25 lvl:0.25) — The ability to time your movements or the movement of a piece of equipment in an
  Static Strength (imp:1.12 lvl:0.12) — The ability to exert maximum muscle force to lift, push, pull, or carry objects.
  Dynamic Strength (imp:1.12 lvl:0.12) — The ability to exert muscle force repeatedly or continuously over time. This inv
  Extent Flexibility (imp:1.12 lvl:0.12) — The ability to bend, stretch, twist, or reach with your body, arms, and/or legs.
  Gross Body Coordination (imp:1.12 lvl:0.12) — The ability to coordinate the movement of your arms, legs, and torso together wh
  Multilimb Coordination (imp:1.00) — The ability to coordinate two or more limbs (for example, two arms, two legs, or
  Response Orientation (imp:1.00) — The ability to choose quickly between two or more movements in response to two o
  Speed of Limb Movement (imp:1.00) — The ability to quickly move the arms and legs.
  Explosive Strength (imp:1.00) — The ability to use short bursts of muscle force to propel oneself (as in jumping
  Stamina (imp:1.00) — The ability to exert yourself physically over long periods of time without getti
  Dynamic Flexibility (imp:1.00) — The ability to quickly and repeatedly bend, stretch, twist, or reach out with yo
  Gross Body Equilibrium (imp:1.00) — The ability to keep or regain your body balance or stay upright when in an unsta
  Night Vision (imp:1.00) — The ability to see under low-light conditions.
  Peripheral Vision (imp:1.00) — The ability to see objects or movement of objects to one's side when the eyes ar
  Glare Sensitivity (imp:1.00) — The ability to see objects in the presence of a glare or bright lighting.
  Sound Localization (imp:1.00) — The ability to tell the direction from which a sound originated.

--- WORK ACTIVITIES ---
  Working with Computers (imp:4.80 lvl:4.88) — Using computers and computer systems (including hardware and software) to progra
  Processing Information (imp:4.58 lvl:5.80) — Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying
  Analyzing Data or Information (imp:4.56 lvl:5.60) — Identifying the underlying principles, reasons, or facts of information by break
  Getting Information (imp:4.46 lvl:5.17) — Observing, receiving, and otherwise obtaining information from all relevant sour
  Making Decisions and Solving Problems (imp:4.33 lvl:5.52) — Analyzing information and evaluating results to choose the best solution and sol
  Interpreting the Meaning of Information for Others (imp:4.28 lvl:5.12) — Translating or explaining what information means and how it can be used.
  Documenting/Recording Information (imp:4.21 lvl:4.96) — Entering, transcribing, recording, storing, or maintaining information in writte
  Communicating with Supervisors, Peers, or Subordinates (imp:4.17 lvl:5.08) — Providing information to supervisors, co-workers, and subordinates by telephone,
  Updating and Using Relevant Knowledge (imp:4.16 lvl:5.44) — Keeping up-to-date technically and applying new knowledge to your job.
  Thinking Creatively (imp:4.12 lvl:5.24) — Developing, designing, or creating new applications, ideas, relationships, syste
  Identifying Objects, Actions, and Events (imp:4.08 lvl:4.52) — Identifying information by categorizing, estimating, recognizing differences or 
  Organizing, Planning, and Prioritizing Work (imp:4.08 lvl:5.20) — Developing specific goals and plans to prioritize, organize, and accomplish your
  Estimating the Quantifiable Characteristics of Products, Events, or Information (imp:4.00 lvl:4.84) — Estimating sizes, distances, and quantities; or determining time, costs, resourc
  Evaluating Information to Determine Compliance with Standards (imp:3.88 lvl:4.36) — Using relevant information and individual judgment to determine whether events o
  Training and Teaching Others (imp:3.76 lvl:4.32) — Identifying the educational needs of others, developing formal educational or tr
  Developing Objectives and Strategies (imp:3.72 lvl:4.60) — Establishing long-range objectives and specifying the strategies and actions to 
  Communicating with People Outside the Organization (imp:3.72 lvl:4.64) — Communicating with people outside the organization, representing the organizatio
  Monitoring Processes, Materials, or Surroundings (imp:3.67 lvl:4.28) — Monitoring and reviewing information from materials, events, or the environment,
  Scheduling Work and Activities (imp:3.64 lvl:4.56) — Scheduling events, programs, and activities, as well as the work of others.
  Establishing and Maintaining Interpersonal Relationships (imp:3.52 lvl:4.52) — Developing constructive and cooperative working relationships with others, and m
  Developing and Building Teams (imp:3.48 lvl:3.68) — Encouraging and building mutual trust, respect, and cooperation among team membe
  Providing Consultation and Advice to Others (imp:3.42 lvl:4.48) — Providing guidance and expert advice to management or other groups on technical,
  Judging the Qualities of Objects, Services, or People (imp:3.40 lvl:4.12) — Assessing the value, importance, or quality of things or people.
  Guiding, Directing, and Motivating Subordinates (imp:3.26 lvl:4.08) — Providing guidance and direction to subordinates, including setting performance 
  Coordinating the Work and Activities of Others (imp:3.20 lvl:4.04) — Getting members of a group to work together to accomplish tasks.
  Coaching and Developing Others (imp:3.16 lvl:3.92) — Identifying the developmental needs of others and coaching, mentoring, or otherw
  Performing Administrative Activities (imp:3.00 lvl:3.52) — Performing day-to-day administrative tasks such as maintaining information files
  Monitoring and Controlling Resources (imp:2.92 lvl:3.48) — Monitoring and controlling resources and overseeing the spending of money.
  Inspecting Equipment, Structures, or Materials (imp:2.79 lvl:2.84) — Inspecting equipment, structures, or materials to identify the cause of errors o
  Controlling Machines and Processes (imp:2.56 lvl:2.80) — Using either control mechanisms or direct physical activity to operate machines 
  Staffing Organizational Units (imp:2.56 lvl:2.92) — Recruiting, interviewing, selecting, hiring, and promoting employees in an organ
  Resolving Conflicts and Negotiating with Others (imp:2.52 lvl:3.20) — Handling complaints, settling disputes, and resolving grievances and conflicts, 
  Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment (imp:2.44 lvl:2.88) — Providing documentation, detailed instructions, drawings, or specifications to t
  Repairing and Maintaining Electronic Equipment (imp:2.44 lvl:3.04) — Servicing, repairing, calibrating, regulating, fine-tuning, or testing machines,
  Performing for or Working Directly with the Public (imp:2.42 lvl:2.48) — Performing for people or dealing directly with the public. This includes serving
  Selling or Influencing Others (imp:2.24 lvl:2.32) — Convincing others to buy merchandise/goods or to otherwise change their minds or
  Performing General Physical Activities (imp:2.04 lvl:1.92) — Performing general physical activities includes doing activities that require co
  Operating Vehicles, Mechanized Devices, or Equipment (imp:2.04 lvl:1.76) — Running, maneuvering, navigating, or driving vehicles or mechanized equipment, s
  Handling and Moving Objects (imp:1.76 lvl:1.76) — Using hands and arms in handling, installing, positioning, and moving materials,
  Assisting and Caring for Others (imp:1.68 lvl:1.28) — Providing personal assistance, medical attention, emotional support, or other pe
  Repairing and Maintaining Mechanical Equipment (imp:1.56 lvl:1.48) — Servicing, repairing, adjusting, and testing machines, devices, moving parts, an

--- WORK STYLES ---
  Dependability (imp:5.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Attention to Detail (imp:4.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Intellectual Curiosity (imp:3.00) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Attention to Detail (imp:2.67) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Innovation (imp:2.51) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Intellectual Curiosity (imp:2.41) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Dependability (imp:2.25) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Achievement Orientation (imp:2.01) — A tendency to establish and maintain personally challenging work-related goals, 
  Achievement Orientation (imp:2.00) — A tendency to establish and maintain personally challenging work-related goals, 
  Integrity (imp:1.96) — A tendency to be honest and ethical at work.
  Adaptability (imp:1.90) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Tolerance for Ambiguity (imp:1.89) — A tendency to be comfortable with ambiguity and uncertainty at work.
  Cautiousness (imp:1.76) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Perseverance (imp:1.61) — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Initiative (imp:1.59) — A tendency to be proactive and take on extra responsibilities and tasks that may
  Stress Tolerance (imp:1.16) — A tendency to cope and function effectively in stressful situations at work.
  Cooperation (imp:1.11) — A tendency to be pleasant, helpful, and willing to assist others at work.
  Self-Confidence (imp:1.07) — A tendency to believe in one's work-related capabilities and ability to control 
  Innovation (imp:1.00) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Leadership Orientation (imp:1.00) — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Self-Control (imp:0.77) — A tendency to remain calm and composed and to manage emotions effectively in res
  Sincerity (imp:0.49) — A tendency to be genuine and sincere in interactions with others at work, withou
  Humility (imp:0.34) — A tendency to be modest and humble when interacting with others at work.
  Social Orientation (imp:0.31) — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Optimism (imp:0.24) — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work.
  Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may
  Adaptability () — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control 
  Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Humility () — A tendency to be modest and humble when interacting with others at work.
  Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou
  Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel
  Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work.
  Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Cautiousness () — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Integrity () — A tendency to be honest and ethical at work.
  Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work.
  Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res
  Empathy (imp:-0.03) — A tendency to show concern for others and be sensitive to others' needs and feel

--- TRANSFERABLE SKILLS ---
  Complex Problem Solving (imp:3.75 lvl:4.12) — Identifying complex problems and reviewing related information to develop and ev
  Judgment and Decision Making (imp:3.75 lvl:4.12) — Considering the relative costs and benefits of potential actions to choose the m
  Systems Analysis (imp:3.62 lvl:3.88) — Determining how a system should work and how changes in conditions, operations, 
  Systems Evaluation (imp:3.62 lvl:3.88) — Identifying measures or indicators of system performance and the actions needed 
  Operations Analysis (imp:3.25 lvl:3.62) — Analyzing needs and product requirements to create a design.
  Coordination (imp:3.00 lvl:3.00) — Adjusting actions in relation to others' actions.
  Instructing (imp:3.00 lvl:3.38) — Teaching others how to do something.
  Social Perceptiveness (imp:2.88 lvl:3.00) — Being aware of others' reactions and understanding why they react as they do.
  Service Orientation (imp:2.88 lvl:2.88) — Actively looking for ways to help people.
  Programming (imp:2.88 lvl:2.75) — Writing computer programs for various purposes.
  Time Management (imp:2.88 lvl:3.12) — Managing one's own time and the time of others.
  Management of Personnel Resources (imp:2.88 lvl:3.00) — Motivating, developing, and directing people as they work, identifying the best 
  Persuasion (imp:2.62 lvl:2.88) — Persuading others to change their minds or behavior.
  Negotiation (imp:2.50 lvl:2.62) — Bringing others together and trying to reconcile differences.
  Operations Monitoring (imp:2.50 lvl:2.50) — Watching gauges, dials, or other indicators to make sure a machine is working pr
  Technology Design (imp:2.38 lvl:2.38) — Generating or adapting equipment and technology to serve user needs.
  Quality Control Analysis (imp:2.38 lvl:1.75) — Conducting tests and inspections of products, services, or processes to evaluate
  Operation and Control (imp:2.00 lvl:1.62) — Controlling operations of equipment or systems.
  Management of Material Resources (imp:1.88 lvl:1.75) — Obtaining and seeing to the appropriate use of equipment, facilities, and materi
  Management of Financial Resources (imp:1.75 lvl:1.38) — Determining how money will be spent to get the work done, and accounting for the
  Equipment Selection (imp:1.50 lvl:0.50) — Determining the kind of tools and equipment needed to do a job.
  Troubleshooting (imp:1.50 lvl:0.75) — Determining causes of operating errors and deciding what to do about it.
  Installation (imp:1.00) — Installing equipment, machines, wiring, or programs to meet specifications.
  Equipment Maintenance (imp:1.00) — Performing routine maintenance on equipment and determining when and what kind o
  Repairing (imp:1.00) — Repairing machines or systems using the needed tools.
BLS OEWS May 2025 — 22,300 employed nationally bls.gov/oes ↗ · Public Domain · US Government · retrieved 2026-06-02
--- NATIONAL WAGES ---
  total_employment : 22,300
  annual_median    : $122,570
  annual_pct10     : $67,000
  annual_pct25     : $86,620
  annual_pct75     : $161,890
  annual_pct90     : $195,190
  annual_mean      : $129,230
  hourly_median    : $58.93

--- GEOGRAPHIC DISPERSION ---
  highest_state    : District of Columbia ($156,730)
  lowest_state     : Indiana ($68,670)
  dispersion_ratio : 2.282x

--- TOP STATES BY WAGE (40 total) ---
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:   11,600  median: $ 126,440
  Professional, Scientific, and Technical Services emp:    4,400  median: $ 128,720
  Educational Services                     emp:    4,050  median: $  83,200
  Manufacturing                            emp:    1,380  median: $ 178,720
  Management of Companies and Enterprises  emp:      400  median: $ 176,440
  Administrative and Support and Waste Management and Remediation Services emp:      210  median: $ 133,980
  Wholesale Trade                          emp:       90  median: $ 126,510
  Utilities                                emp:       60  median: $ 105,830

--- TOP INDUSTRIES BY EMPLOYMENT (8 total) ---
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:   11,600  median: $ 126,440
  Professional, Scientific, and Technical Services emp:    4,400  median: $ 128,720
  Educational Services                     emp:    4,050  median: $  83,200
  Manufacturing                            emp:    1,380  median: $ 178,720
  Management of Companies and Enterprises  emp:      400  median: $ 176,440
  Administrative and Support and Waste Management and Remediation Services emp:      210  median: $ 133,980
  Wholesale Trade                          emp:       90  median: $ 126,510
  Utilities                                emp:       60  median: $ 105,830
Wikipedia — no exact match (0 words) N/A ↗ · CC BY-SA 4.0
exact_match_status : no_exact_match
matched_title      : N/A
match_score        : 0.0000
wikidata_qid       : N/A
word_count         : 0
wikipedia_url      : N/A
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T20:49:22.573813Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Bidirectional reflectance distribution function (similarity: 0.2889)
  URL: https://en.wikipedia.org/wiki/Bidirectional_reflectance_distribution_function
  QID: Q856980
  Extract: The bidirectional reflectance distribution function (BRDF), symbol , is a function of four real variables that defines how light from a source is reflected off an opaque surface. It is employed in the optics of real-world light, in computer graphics algorithms, and in computer vision algorithms. The

  Title: Geomatics (similarity: 0.1923)
  URL: https://en.wikipedia.org/wiki/Geomatics
  QID: Q619798
  Extract: Geomatics is defined in the ISO/TC 211 series of standards as the "discipline concerned with the collection, distribution, storage, analysis, processing, presentation of geographic data or geographic information". Under another definition, it consists of products, services and tools involved in the 

  Title: Geographic information science (similarity: 0.3014)
  URL: https://en.wikipedia.org/wiki/Geographic_information_science
  QID: Q3537694
  Extract: Geographic information science or geoinformation science is a scientific discipline at the crossroads of computational science, social science, and natural science that studies geographic information, including how it represents phenomena in the real world, how it represents the way humans understan

  Title: List of Puerto Rican scientists and inventors (similarity: 0.5227)
  URL: https://en.wikipedia.org/wiki/List_of_Puerto_Rican_scientists_and_inventors
  QID: Q11791084
  Extract: Before Christopher Columbus and the Spanish Conquistadors landed on the island of "Borikén", the Taínos who inhabit the island depended on their astronomical observations for the cultivation of their crops.

  Title: G. Madhavan Nair (similarity: 0.2034)
  URL: https://en.wikipedia.org/wiki/G._Madhavan_Nair
  QID: Q1484297
  Extract: G. Madhavan Nair is an Indian space scientist and a former chairman of ISRO, and Secretary to the Department of Space, Government of India. His tenure saw commencement of Indian Human Spaceflight Programme and launch of extraterrestrial exploration mission Chandrayaan-I.
Claude Inference — claude-sonnet-4-20250514 · confidence:high · $0.0484 inferred_at: 2026-06-03T15:46:56 UTC · Boise Standard inference pipeline v1.0
model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes     : Strong confidence based on comprehensive O*NET data including detailed work activities, skills, knowledge areas, and wage information from BLS OEWS May 2025. The occupation has well-defined tasks and clear relationships to related fields.
inferred_at          : 2026-06-03T15:46:56.964142+00:00
tokens_input         : 4,673
tokens_output        : 4,391
cost_usd             : $0.048406
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match exists for this specialized occupation. The closest semantic neighbors relate to technical aspects like bidirectional reflectance distribution function and broader fields like geomatics and geographic information science.

--- PROSE FIELDS ---

ROLE SUMMARY:
Remote Sensing Scientists and Technologists apply specialized principles and methods to analyze satellite, aerial, and ground-based sensor data for applications in natural resource management, urban planning, and homeland security. They develop new sensor systems, analytical techniques, and applications while processing complex geospatial datasets to extract meaningful insights. These professionals serve as critical data analysts who transform raw sensor information into actionable intelligence for scientific, governmental, and commercial decision-making.

DAY IN THE LIFE:
A typical day involves managing and analyzing large datasets from aircraft, satellites, or ground-based platforms using statistical analysis software and image processing tools. They integrate multiple geospatial data sources into comprehensive projects and compile image data to increase its usefulness for specific applications. Much time is spent organizing and maintaining geospatial databases with associated documentation, followed by preparing reports or presentations of project findings. Collaboration is frequent, as they discuss project goals, equipment requirements, and methodologies with team members and colleagues. They also design strategies for data collection, analysis, and display while developing technical databases for remote sensing projects.

WHO THRIVES:
Professionals who excel in this field possess strong investigative and realistic orientations, demonstrating exceptional deductive and inductive reasoning abilities. They thrive on intellectual curiosity and maintain meticulous attention to detail while working with complex technical systems and large datasets. Successful remote sensing specialists combine strong analytical thinking with excellent communication skills, as they must interpret technical findings for diverse audiences. They are dependable self-directed learners who enjoy working at the intersection of technology, geography, and data science, often spending long periods focused on computer-intensive analysis tasks.

CAREER ENTRY:
Entry into this field typically requires a bachelor's degree, with 60% of professionals holding this level of education, while 20% advance with master's degrees. Educational backgrounds commonly include geography, earth sciences, computer science, engineering, or related STEM fields with coursework in remote sensing, GIS, and data analysis. Many professionals also obtain post-baccalaureate certificates in specialized remote sensing applications. Relevant experience can be gained through internships with government agencies, research institutions, or geospatial technology companies.

CAREER TRAJECTORY:
Career advancement often leads to senior research scientist positions, project management roles, or specialized consulting in emerging technologies like drone-based sensing systems. Many professionals transition into leadership positions within government agencies, particularly in defense and environmental monitoring sectors. Advanced practitioners may become independent consultants or move into executive roles within geospatial technology companies. Some pursue doctoral degrees and academic careers, conducting cutting-edge research in sensor development and analytical methodologies.

MARKET INTELLIGENCE:
The field employs 22,300 professionals nationwide with a median annual salary of $122,570 according to BLS OEWS May 2025, ranging from $67,000 to $195,190 for the 10th to 90th percentiles. Geographic wage variation is significant, with the District of Columbia offering the highest median at $156,730 compared to Indiana's $68,670, representing a 2.28x ratio. The largest employer is government (federal, state, and local) with 11,600 positions, followed by professional services (4,400) and educational institutions (4,050). Emerging drone technology and increasing demand for geospatial intelligence suggest continued growth opportunities, particularly in homeland security and environmental monitoring applications.

AUTOMATION OUTLOOK:
This role has moderate automation resistance due to its emphasis on complex analytical reasoning and interpretation of meaning for others. While data processing tools continue advancing, the core activities of making decisions, solving problems, and interpreting complex geospatial information require human expertise that current automation cannot fully replicate. The emerging focus on drone-based remote sensing may actually increase demand as new data collection methods require skilled analysts.

--- REASONED EDGES ---
  [skill_overlap] Geographic Information Systems Technologists and Technicians (15-1299.02) — confidence:high
    reasoning: Both roles share high-level geography knowledge (4.8 importance) and work extensively with computers and geospatial data analysis.
    data: Geography knowledge importance 4.8
    data: Working with Computers activity importance 4.8
    data: Analyzing Data or Information importance 4.6
  [knowledge_overlap] Cartographers and Photogrammetrists (17-1021.00) — confidence:high
    reasoning: Shared emphasis on geography knowledge, mathematics, and design principles for creating visual representations of spatial data.
    data: Geography knowledge importance 4.8
    data: Mathematics knowledge importance 4.2
    data: Design knowledge importance 3.2
  [riasec_cluster] Atmospheric and Space Scientists (19-2021.00) — confidence:medium
    reasoning: Both roles share investigative and realistic orientations with similar emphasis on scientific analysis and technical problem-solving.
    data: RIASEC Investigative score 6.09
    data: Science skill importance 3.9
    data: Physics knowledge importance 3.5
  [career_pathway] Remote Sensing Technicians (19-4099.03) — confidence:high
    reasoning: Direct career progression pathway where technicians can advance to scientist roles with additional education and experience.
    data: Related occupation Primary-Short designation
    data: Same core remote sensing domain
    data: Similar work activities in data analysis
  [task_similarity] Aerospace Engineers (17-2011.00) — confidence:medium
    reasoning: Overlapping work in sensor system development and engineering technology applications, particularly with emerging drone technologies.
    data: Engineering and Technology knowledge importance 3.9
    data: Design knowledge importance 3.2
    data: Emerging drone-based sensing tasks
  [wage_band] Geological Technicians, Except Hydrologic Technicians (19-4043.00) — confidence:low
    reasoning: Related earth science occupations likely fall within similar wage ranges due to comparable education requirements and technical skill levels.
    data: Job Zone 4 preparation level
    data: Bachelor's degree requirement 60%
    data: Science-based analytical work

--- NORMALIZER SIGNALS ---
  match_keywords   : ['remote sensing scientist', 'remote sensing technologist', 'geospatial image analyst', 'imagery remote sensing scientist', 'LIDAR scientist', 'radar scientist', 'microwave remote sensing scientist', 'geospatial intelligence analyst']
  exclude_keywords : ['remote sensing technician', 'GIS technician', 'surveyor', 'cartographer', 'drone pilot only']
  title_patterns   : ['*remote sensing scientist*', '*remote sensing technologist*', '*imagery*scientist*', '*geospatial*analyst*', '*LIDAR*scientist*']
  common_variations: ['remote sensing specialist', 'geospatial analyst', 'imagery analyst', 'satellite data analyst', 'earth observation scientist', 'geospatial scientist', 'remote sensing researcher', 'spatial data scientist']
Semantic Manifold — 40 terms · 5 provenance layers employment_word_extractor.py · sources: onet_tasks | onet_dimensions | dwas | wikipedia | inference · Constitutional Law III
total_terms    : 40
top_words      : ['tendency', 'others', 'equipment', 'sensing', 'remote', 'technical', 'principles', 'techniques', 'geospatial', 'activities', 'analysis', 'problems', 'includes', 'control', 'objects', 'geographic', 'applications', 'ideas', 'software', 'technology']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
tendency                   42  0.01465  onet_dimensions      onet_dimensions:100%
others                     41  0.01431  onet_dimensions      onet_dimensions:93%  dwas:5%  inference:2%
equipment                  29  0.01012  onet_dimensions      onet_dimensions:79%  dwas:10%  onet_tasks:7%
sensing                    21  0.00733  onet_tasks           onet_tasks:67%  inference:33%
remote                     20  0.00698  onet_tasks           onet_tasks:70%  inference:30%
technical                  18  0.00628  dwas                 dwas:50%  inference:22%  onet_dimensions:17%
principles                 17  0.00593  onet_dimensions      onet_dimensions:94%  inference:6%
techniques                 14  0.00488  onet_dimensions      onet_dimensions:71%  onet_tasks:14%  wikipedia:7%
geospatial                 13  0.00454  inference            inference:54%  onet_tasks:31%  wikipedia:15%
activities                 13  0.00454  onet_dimensions      onet_dimensions:69%  dwas:15%  onet_tasks:8%
analysis                   12  0.00419  onet_dimensions      onet_dimensions:33%  inference:33%  onet_tasks:25%
problems                   12  0.00419  onet_dimensions      onet_dimensions:75%  dwas:17%  inference:8%
includes                   12  0.00419  onet_dimensions      onet_dimensions:100%
control                    12  0.00419  onet_dimensions      onet_dimensions:100%
objects                    12  0.00419  onet_dimensions      onet_dimensions:100%
geographic                 11  0.00384  wikipedia            wikipedia:45%  onet_tasks:18%  dwas:18%
applications               11  0.00384  inference            inference:45%  onet_dimensions:36%  dwas:9%
ideas                      11  0.00384  onet_dimensions      onet_dimensions:100%
software                   10  0.00349  onet_tasks           onet_tasks:50%  onet_dimensions:30%  dwas:10%
technology                 10  0.00349  onet_dimensions      onet_dimensions:40%  inference:40%  onet_tasks:20%
procedures                 10  0.00349  onet_dimensions      onet_dimensions:80%  onet_tasks:10%  dwas:10%
standards                  10  0.00349  onet_dimensions      onet_dimensions:80%  onet_tasks:10%  wikipedia:10%
science                    10  0.00349  wikipedia            wikipedia:50%  inference:30%  onet_dimensions:20%
monitoring                 10  0.00349  onet_dimensions      onet_dimensions:80%  inference:20%
human                      10  0.00349  onet_dimensions      onet_dimensions:70%  wikipedia:20%  inference:10%
management                 10  0.00349  onet_dimensions      onet_dimensions:70%  inference:20%  wikipedia:10%
materials                  10  0.00349  onet_dimensions      onet_dimensions:100%
body                       10  0.00349  onet_dimensions      onet_dimensions:100%
products                    9  0.00314  onet_dimensions      onet_dimensions:56%  dwas:22%  onet_tasks:11%
design                      9  0.00314  onet_dimensions      onet_dimensions:67%  onet_tasks:11%  dwas:11%
operations                  9  0.00314  onet_dimensions      onet_dimensions:67%  dwas:22%  onet_tasks:11%
research                    9  0.00314  dwas                 dwas:44%  inference:33%  onet_tasks:11%
services                    9  0.00314  onet_dimensions      onet_dimensions:67%  dwas:11%  wikipedia:11%
resources                   9  0.00314  onet_dimensions      onet_dimensions:100%
quickly                     9  0.00314  onet_dimensions      onet_dimensions:100%
orientation                 9  0.00314  onet_dimensions      onet_dimensions:100%
direction                   9  0.00314  onet_dimensions      onet_dimensions:56%  wikipedia:44%
developing                  9  0.00314  onet_dimensions      onet_dimensions:89%  inference:11%
goals                       8  0.00279  onet_dimensions      onet_dimensions:75%  onet_tasks:12%  inference:12%
environmental               8  0.00279  dwas                 dwas:50%  onet_tasks:25%  inference:25%
◈ Boise Standard Employment Graph · 19-2099.01 · built 2026-06-02 · Sources declared above are authoritative originals. This page synthesizes but does not replace them. Every claim traceable. Full provenance. Constitutional Law I.
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