◈ EMPLOYMENT · TECH · 15-2041.00
Statisticians
O*NET 30.3 · BLS OEWS May 2025 · Boise Standard Employment Graph
◈ EMPLOYMENT · TECH 15-2041.00 ◉ 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
Statisticians
Statisticians develop and apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. They specialize in fields such as biostatistics, business statistics, economic statistics, or agricultural statistics. These professionals transform raw data into actionable insights that inform decision-making across industries including healthcare, government, technology, and research.
29,030
National Employment
$105,650
Median Annual Wage
JZ 5
Job Zone
Professional, Scientific,
Primary Industry
Occupation Graph — Declared + Reasoned Edges
onet declared
Data Scientists
Primary-Short
onet declared
Biostatisticians
Primary-Short
onet declared
Clinical Data Managers
Primary-Short
onet declared
Mathematicians
Primary-Short
onet declared
Bioinformatics Scientists
Primary-Short
onet declared
Financial Quantitative Analysts
Primary-Long
skill overlap
Data Scientists
Both roles share high-importance skills in mathematics, critical thinking, and programming with similar computer-intensive work activities.
career pathway
Biostatisticians
Biostatisticians represent a specialized application of statistical methods within healthcare and biological research domains.
knowledge overlap
Mathematicians
Both roles require extensive mathematical reasoning abilities and mathematics knowledge at advanced levels.
riasec cluster
Operations Research Analysts
Both roles exhibit investigative and conventional personality types with focus on analytical problem-solving and systematic data processing.
§ Feeder Roles
Mathematics Teacher
Research Assistant in Statistics
Data Analyst
§ Destinations
Data Science Manager
Chief Data Officer
Quantitative Research Director
§ RIASEC Peers
Data Scientists
Mathematicians
Operations Research Analysts
Role Intelligence — Day in the Life · Who Thrives · Automation
Day in the Life

A statistician begins their day by analyzing and interpreting statistical data to identify significant differences in relationships among various information sources. They evaluate statistical methods and procedures used to obtain data, ensuring validity, applicability, and efficiency of their analyses. Much of their time is spent working with computers using tools like Apache Spark, IBM SPSS Statistics, and Amazon Web Services to process and analyze large datasets. They prepare data for processing by organizing information, checking for inaccuracies, and adjusting raw data as needed. Throughout the day, they create reports with graphs, charts, and tables to communicate their findings, and may present statistical results in meetings or conferences to various audiences.

Who Thrives

Individuals who excel in this role possess exceptional mathematical reasoning abilities and number facility, combined with strong written and oral communication skills to interpret findings for others. They demonstrate high levels of dependability and attention to detail, as statistical accuracy is critical to their work. The most successful statisticians have investigative personalities who enjoy solving complex problems through systematic analysis, paired with conventional traits that help them organize and process large amounts of data methodically. They must be comfortable with extensive computer work and possess strong critical thinking skills to determine appropriate analytical methods based on research questions.

Automation Outlook

Statisticians face moderate automation risk as some routine data processing and basic analytical tasks become automated through machine learning tools. However, their core work of interpreting statistical results, designing experimental methodologies, and communicating findings to stakeholders remains highly resistant to automation due to the need for human judgment and domain expertise.

Market Intelligence — BLS OEWS May 2025
The Bureau of Labor Statistics reports median annual wages of $105,650 for statisticians as of May 2025, with employment of 29,030 professionals nationwide. Wages range from $64,000 at the 10th percentile to $174,050 at the 90th percentile, reflecting significant earning potential with experience and specialization. Geographic variation is substantial, with the District of Columbia offering the highest median wages at $140,670 compared to Puerto Rico at $49,730. The largest employers are professional, scientific, and technical services (9,440 employed), followed by government agencies (7,400 employed), and educational services (3,740 employed). The field benefits from growing demand for data-driven decision making across all sectors.
$64,000
10th
$82,220
25th
$105,650
Median
$141,490
75th
$174,050
90th
Highest Paying State
District of Columbia
$140,670 median
Geographic Dispersion
2.829x
highest / lowest median
Professional, Scientific, and Technical Servi 9,440 emp $110,120
Federal, State, and Local Government, excludi 7,400 emp $114,920
Educational Services 3,740 emp $82,480
Health Care and Social Assistance 2,440 emp $100,900
Management of Companies and Enterprises 1,390 emp $117,060
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)
Mathematics 4.9
Reading Comprehension 4.0
Critical Thinking 4.0
Active Listening 3.9
Speaking 3.9
Writing 3.8
Active Learning 3.8
Science 3.5
Learning Strategies 3.1
Monitoring 3.0
§ Knowledge Domains (importance 1-5)
Mathematics 4.7
Computers and Electronics 4.2
English Language 3.9
Education and Training 2.9
Administration and Management 2.8
Customer and Personal Service 2.5
Biology 2.4
Administrative 2.3
Engineering and Technology 2.3
Economics and Accounting 2.2
Source: O*NET 30.3 Database ↗ · CC BY 4.0
RIASEC Interest Profile + Personality Fit — O*NET 30.3
R
Realistic
2.14
TOP FIT
I
Investigative
6.58
TOP FIT
A
Artistic
1.77
S
Social
1.71
E
Enterprising
1.82
C
Conventional
6.03
TOP FIT
§ Who Thrives
Individuals who excel in this role possess exceptional mathematical reasoning abilities and number facility, combined with strong written and oral communication skills to interpret findings for others. They demonstrate high levels of dependability and attention to detail, as statistical accuracy is critical to their work. The most successful statisticians have investigative personalities who enjoy solving complex problems through systematic analysis, paired with conventional traits that help them organize and process large amounts of data methodically. They must be comfortable with extensive computer work and possess strong critical thinking skills to determine appropriate analytical methods based on research questions.
Source: O*NET 30.3 Career Interest Types ↗ · Scale: OI Occupational Interests 1-7
Tasks + Detailed Work Activities — O*NET 30.3
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
Core 21% of incumbents
Analyze data to identify trends or relat
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
Core 21% of incumbents
Evaluate project designs to determine adDetermine appropriate methods for data a
Report results of statistical analyses, including information in the form of graphs, charts, and tables.
Core 21% of incumbents
Prepare graphics or other visual represePrepare analytical reports.
Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
Core 21% of incumbents
Evaluate technical data to determine effDetermine appropriate methods for data a
Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
Core 21% of incumbents
Evaluate data quality.Prepare data for analysis.
Develop and test experimental designs, sampling techniques, and analytical methods.
Core 21% of incumbents
Design research studies to obtain scient
Identify relationships and trends in data, as well as any factors that could affect the results of research.
Core 21% of incumbents
Analyze data to identify trends or relat
Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
Core 21% of incumbents
Present research results to others.
Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
Core 21% of incumbents
Design research studies to obtain scient
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
Core 21% of incumbents
Apply mathematical principles or statist
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
Amazon Redshift
Data base user interface and query softw
HOT
Amazon Web Services AWS software
Data base user interface and query softw
HOT
Angoss KnowledgeSEEKER
Data mining software
Apache Hadoop
Data base management system software
HOT
Apache Pig
Data base management system software
Apache Spark
Business intelligence and data analysis
HOT
Aptech Systems GAUSS
Analytical or scientific software
Automatic Forecasting Systems Autobox
Analytical or scientific software
C++
Object or component oriented development
HOT
Camfit Data Limited Microfit
Analytical or scientific software
Common business oriented language COBOL
Development environment software
Cytel StatXact
Analytical or scientific software
DataDescription DataDesk
Analytical or scientific software
Econometric Software LIMDEP
Analytical or scientific software
Extensible markup language XML
Enterprise application integration softw
HOT
Formula translation/translator FORTRAN
Development environment software
GraphPad Software GraphPad Prism
Analytical or scientific software
IBM DB2
Data base user interface and query softw
HOT
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
Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience. For example, surgeons must complete four years of college and an additiona
Entry into this profession requires extensive preparation, with 61.9% of statisticians holding master's degrees and 14.3% holding bachelor's degrees according to education distribution data. A strong foundation in mathematics, statistics, and computer programming is essential. Many positions require advanced coursework in statistical methods, data analysis, and specialized software tools like SPSS, R, or Python.
Statisticians can advance to senior analytical roles, research director positions, or specialized consultant roles in their field of expertise. Many progress into data science leadership positions or academic research roles, particularly those with doctoral degrees (9.5% of the field). The role often serves as a gateway to related positions such as data scientist, operations research analyst, or quantitative analyst in financial services.
Master's Degree 61.9%
Bachelor's Degree 14.3%
Doctoral Degree 9.5%
Some College Courses 4.8%
Associate's Degree (or other 2-year degree) 4.8%
Post-Doctoral Training 4.8%
Source: O*NET 30.3 Education + Job Zones ↗ · CC BY 4.0
Live Job Feed — Active Postings
Live Statisticians 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 Tech 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 statistical analysis principles research techniques includes design problems control objects body statisticians appropriate financial ideas procedures results
§ Full Frequency Ranking — 40 terms
TERM COUNT FREQ BAR SOURCE ATTRIBUTION
tendency 42 0.0147
onet dimensi 100%
others 41 0.0144
onet dimensi 93% dwas 5%
equipment 23 0.0081
onet dimensi 100%
statistical 21 0.0074
onet tasks 43% inference 33%
analysis 19 0.0067
dwas 32% wikipedia 26%
principles 17 0.0060
onet dimensi 94% dwas 6%
research 15 0.0053
dwas 33% inference 33%
techniques 13 0.0046
onet dimensi 77% onet tasks 23%
includes 13 0.0046
onet dimensi 92% wikipedia 8%
design 12 0.0042
onet dimensi 50% dwas 33%
problems 12 0.0042
onet dimensi 75% onet tasks 8%
control 12 0.0042
onet dimensi 100%
objects 12 0.0042
onet dimensi 100%
body 12 0.0042
onet dimensi 83% wikipedia 17%
statisticians 12 0.0042
inference 58% wikipedia 42%
appropriate 11 0.0039
onet dimensi 45% dwas 36%
financial 11 0.0039
wikipedia 64% onet dimensi 27%
ideas 11 0.0039
onet dimensi 100%
procedures 10 0.0035
onet dimensi 80% onet tasks 10%
results 10 0.0035
onet tasks 40% dwas 20%
management 10 0.0035
onet dimensi 70% wikipedia 30%
services 10 0.0035
onet dimensi 60% inference 40%
materials 10 0.0035
onet dimensi 100%
analyst 10 0.0035
wikipedia 80% inference 20%
needs 9 0.0032
onet dimensi 89% onet tasks 11%
monitoring 9 0.0032
onet dimensi 89% wikipedia 11%
computer 9 0.0032
onet dimensi 33% dwas 33%
resources 9 0.0032
onet dimensi 100%
events 9 0.0032
onet dimensi 89% wikipedia 11%
quickly 9 0.0032
onet dimensi 100%
BOISE STANDARD — FINE-TUNING RECORD · Statisticians
15-2041.00 · 8 QA pairs · jsonl · O*NET 30.3 + BLS OEWS
What is the current median annual wage for statisticians?
According to BLS OEWS May 2025, the median annual wage for statisticians is $105,650.
factual BLS OEWS May 2025
How many statisticians are employed nationwide?
According to BLS OEWS May 2025, 29,030 statisticians are employed nationwide.
factual BLS OEWS May 2025
Which state offers the highest median wage for statisticians?
According to BLS OEWS May 2025, District of Columbia offers the highest median wage at $140,670, significantly above the national median of $105,650.
market_intel BLS OEWS May 2025
What wage gap exists between entry-level and experienced statisticians?
According to BLS OEWS May 2025, the 10th percentile earns $64,000 while the 90th percentile earns $174,050, a $110,050 gap reflecting significant career progression opportunity.
market_intel BLS OEWS May 2025
What educational preparation is most common for statisticians?
According to occupation data, 61.9% of statisticians hold master's degrees, making advanced education the typical career entry requirement for this profession.
career_advice Education Distribution Analysis
What skills should aspiring statisticians prioritize developing?
Aspiring statisticians should focus on mathematical reasoning (4.8 ability score), number facility (4.4), data analysis (5.0 activity importance), and critical thinking, combined with communication abilities.
career_advice Skills and Abilities Bundle
How do statisticians compare to data scientists in terms of role overlap?
Data Scientists rank as the top related occupation to Statisticians with Primary-Short relatedness; both roles analyze data and use similar statistical methods but data scientists emphasize machine learning and prediction modeling.
comparative Related Occupations Index
Which software tools differentiate modern statistician roles from traditional ones?
Apache Spark, Amazon Web Services, and Apache Hadoop rank highest in software importance, reflecting the field's shift toward big data processing and cloud infrastructure compared to traditional statistical packages.
comparative Software Tools Bundle
◈ Boise Standard Employment Graph · 15-2041.00 · 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/15-2041-statisticians
Boise Standard — Employment Intelligence
§ Hiring for this role?
Submit your open Statisticians position. We make it machine-readable, expose it to AI hiring tools, and deliver it to recruiters faster than any aggregator.
Submit Open Position →
§ Looking for this role?
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Boise Standard · The Standard of Information · boisestandard.org ↗
Provenance Window — Full Source Record · 15-2041.00 · Statisticians 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', '15-2041.00'), ('soc_code', '15-2041'), ('title', 'Statisticians'), ('vertical', 'tech'), ('job_zone', '5'), ('job_zone_name', 'Job Zone Five: Extensive Preparation Needed'), ('job_zone_exp', 'Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experi'), ('description', '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'), ('bundle_version', '1'), ('built_at', '2026-06-02T16:18:30Z')]
O*NET Task Statements (19 tasks, 0 emerging) O*NET 30.3 Task Statements · Incumbent-reported · CC BY 4.0
[Core] [21% incumbents] Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  DWAs: Analyze data to identify trends or relationships among variables.

[Core] [21% incumbents] Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  DWAs: Evaluate project designs to determine adequacy or feasibility. | Determine appropriate methods for data analysis.

[Core] [21% incumbents] Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  DWAs: Prepare graphics or other visual representations of information. | Prepare analytical reports.

[Core] [21% incumbents] Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
  DWAs: Evaluate technical data to determine effect on designs or plans. | Determine appropriate methods for data analysis.

[Core] [21% incumbents] Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
  DWAs: Evaluate data quality. | Prepare data for analysis.

[Core] [21% incumbents] Develop and test experimental designs, sampling techniques, and analytical methods.
  DWAs: Design research studies to obtain scientific information.

[Core] [21% incumbents] Identify relationships and trends in data, as well as any factors that could affect the results of research.
  DWAs: Analyze data to identify trends or relationships among variables.

[Core] [21% incumbents] Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
  DWAs: Present research results to others.

[Core] [21% incumbents] Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
  DWAs: Design research studies to obtain scientific information.

[Core] [21% incumbents] Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
  DWAs: Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.

[Core] [21% incumbents] Evaluate sources of information to determine any limitations, in terms of reliability or usability.
  DWAs: Evaluate data quality.

[Core] [21% incumbents] Process large amounts of data for statistical modeling and graphic analysis, using computers.
  DWAs: Prepare data for analysis.

[Core] [21% incumbents] Develop software applications or programming for statistical modeling and graphic analysis.
  DWAs: Design software applications.

[Core] [21% incumbents] Report results of statistical analyses in peer-reviewed papers and technical manuals.
  DWAs: Present research results to others. | Prepare analytical reports.

[Core] [21% incumbents] Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
  DWAs: Determine appropriate methods for data analysis. | Design research studies to obtain scientific information.

[Core] [21% incumbents] Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.
  DWAs: Determine appropriate methods for data analysis.

[Core] [21% incumbents] Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
  DWAs: Update knowledge about emerging industry or technology trends.

[Core] [21% incumbents] Supervise and provide instructions for workers collecting and tabulating data.
  DWAs: Supervise information technology personnel.

[Supplemental] [21% incumbents] Prepare and structure data warehouses for storing data.
  DWAs: Write computer programming code. | Implement security measures for computer or information systems. | Install computer software.
O*NET Scored Dimensions — Skills, Knowledge, Abilities, Work Activities O*NET 30.3 · CC BY 4.0 · domain_source: Incumbent/Analyst/Machine Learning
--- SKILLS ---
  Mathematics (imp:4.88 lvl:5.38) — Using mathematics to solve problems.
  Reading Comprehension (imp:4.00 lvl:4.88) — Understanding written sentences and paragraphs in work-related documents.
  Critical Thinking (imp:4.00 lvl:4.50) — 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
  Speaking (imp:3.88 lvl:4.25) — Talking to others to convey information effectively.
  Writing (imp:3.75 lvl:4.25) — Communicating effectively in writing as appropriate for the needs of the audienc
  Active Learning (imp:3.75 lvl:3.88) — Understanding the implications of new information for both current and future pr
  Science (imp:3.50 lvl:3.88) — Using scientific rules and methods to solve problems.
  Learning Strategies (imp:3.12 lvl:3.00) — Selecting and using training/instructional methods and procedures appropriate fo
  Monitoring (imp:3.00 lvl:3.00) — Monitoring/Assessing performance of yourself, other individuals, or organization

--- KNOWLEDGE ---
  Mathematics (imp:4.67 lvl:6.24) — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their appl
  Computers and Electronics (imp:4.19 lvl:5.57) — Knowledge of circuit boards, processors, chips, electronic equipment, and comput
  English Language (imp:3.90 lvl:4.81) — Knowledge of the structure and content of the English language including the mea
  Education and Training (imp:2.90 lvl:3.60) — Knowledge of principles and methods for curriculum and training design, teaching
  Administration and Management (imp:2.81 lvl:3.62) — Knowledge of business and management principles involved in strategic planning, 
  Customer and Personal Service (imp:2.48 lvl:2.76) — Knowledge of principles and processes for providing customer and personal servic
  Biology (imp:2.43 lvl:2.86) — Knowledge of plant and animal organisms, their tissues, cells, functions, interd
  Administrative (imp:2.33 lvl:2.95) — Knowledge of administrative and office procedures and systems such as word proce
  Engineering and Technology (imp:2.33 lvl:2.43) — Knowledge of the practical application of engineering science and technology. Th
  Economics and Accounting (imp:2.24 lvl:2.62) — Knowledge of economic and accounting principles and practices, the financial mar
  Communications and Media (imp:2.24 lvl:2.14) — Knowledge of media production, communication, and dissemination techniques and m
  Production and Processing (imp:2.00 lvl:2.00) — Knowledge of raw materials, production processes, quality control, costs, and ot
  Medicine and Dentistry (imp:2.00 lvl:1.48) — Knowledge of the information and techniques needed to diagnose and treat human i
  Law and Government (imp:1.95 lvl:2.00) — Knowledge of laws, legal codes, court procedures, precedents, government regulat
  Sales and Marketing (imp:1.90 lvl:2.24) — Knowledge of principles and methods for showing, promoting, and selling products
  Personnel and Human Resources (imp:1.86 lvl:2.05) — Knowledge of principles and procedures for personnel recruitment, selection, tra
  Psychology (imp:1.81 lvl:1.86) — Knowledge of human behavior and performance; individual differences in ability, 
  Design (imp:1.71 lvl:1.38) — Knowledge of design techniques, tools, and principles involved in production of 
  Physics (imp:1.71 lvl:1.57) — Knowledge and prediction of physical principles, laws, their interrelationships,
  Chemistry (imp:1.71 lvl:1.57) — Knowledge of the chemical composition, structure, and properties of substances a
  Geography (imp:1.71 lvl:1.90) — Knowledge of principles and methods for describing the features of land, sea, an
  Sociology and Anthropology (imp:1.62 lvl:1.33) — Knowledge of group behavior and dynamics, societal trends and influences, human 
  Telecommunications (imp:1.57 lvl:1.05) — Knowledge of transmission, broadcasting, switching, control, and operation of te
  Public Safety and Security (imp:1.52 lvl:1.19) — Knowledge of relevant equipment, policies, procedures, and strategies to promote
  Food Production (imp:1.33 lvl:0.62) — Knowledge of techniques and equipment for planting, growing, and harvesting food
  Mechanical (imp:1.29 lvl:0.67) — Knowledge of machines and tools, including their designs, uses, repair, and main
  Foreign Language (imp:1.29 lvl:0.81) — Knowledge of the structure and content of a foreign (non-English) language inclu
  Philosophy and Theology (imp:1.24 lvl:0.76) — Knowledge of different philosophical systems and religions. This includes their 
  History and Archeology (imp:1.19 lvl:0.43) — Knowledge of historical events and their causes, indicators, and effects on civi
  Therapy and Counseling (imp:1.14 lvl:0.19) — Knowledge of principles, methods, and procedures for diagnosis, treatment, and r
  Transportation (imp:1.10 lvl:0.24) — Knowledge of principles and methods for moving people or goods by air, rail, sea
  Fine Arts (imp:1.05 lvl:0.10) — Knowledge of the theory and techniques required to compose, produce, and perform
  Building and Construction (imp:1.00) — Knowledge of materials, methods, and the tools involved in the construction or r

--- ABILITIES ---
  Mathematical Reasoning (imp:4.75 lvl:5.00) — The ability to choose the right mathematical methods or formulas to solve a prob
  Number Facility (imp:4.38 lvl:5.12) — The ability to add, subtract, multiply, or divide quickly and correctly.
  Written Comprehension (imp:4.12 lvl:4.75) — The ability to read and understand information and ideas presented in writing.
  Oral Comprehension (imp:4.00 lvl:4.88) — The ability to listen to and understand information and ideas presented through 
  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:4.88) — The ability to communicate information and ideas in writing so others will under
  Inductive Reasoning (imp:4.00 lvl:4.88) — The ability to combine pieces of information to form general rules or conclusion
  Near Vision (imp:4.00 lvl:4.00) — The ability to see details at close range (within a few feet of the observer).
  Deductive Reasoning (imp:3.88 lvl:4.88) — The ability to apply general rules to specific problems to produce answers that 
  Information Ordering (imp:3.75 lvl:4.00) — The ability to arrange things or actions in a certain order or pattern according
  Category Flexibility (imp:3.62 lvl:3.75) — The ability to generate or use different sets of rules for combining or grouping
  Speech Clarity (imp:3.62 lvl:3.62) — The ability to speak clearly so others can understand you.
  Fluency of Ideas (imp:3.38 lvl:3.88) — The ability to come up with a number of ideas about a topic (the number of ideas
  Problem Sensitivity (imp:3.25 lvl:3.50) — The ability to tell when something is wrong or is likely to go wrong. It does no
  Speech Recognition (imp:3.12 lvl:3.12) — The ability to identify and understand the speech of another person.
  Originality (imp:3.00 lvl:3.62) — The ability to come up with unusual or clever ideas about a given topic or situa
  Flexibility of Closure (imp:3.00 lvl:3.12) — The ability to identify or detect a known pattern (a figure, object, word, or so
  Speed of Closure (imp:2.88 lvl:2.88) — The ability to quickly make sense of, combine, and organize information into mea
  Perceptual Speed (imp:2.88 lvl:2.88) — The ability to quickly and accurately compare similarities and differences among
  Selective Attention (imp:2.88 lvl:3.00) — The ability to concentrate on a task over a period of time without being distrac
  Memorization (imp:2.75 lvl:2.75) — The ability to remember information such as words, numbers, pictures, and proced
  Far Vision (imp:2.75 lvl:2.88) — The ability to see details at a distance.
  Visualization (imp:2.62 lvl:2.75) — The ability to imagine how something will look after it is moved around or when 
  Time Sharing (imp:2.00 lvl:2.00) — The ability to shift back and forth between two or more activities or sources of
  Trunk Strength (imp:2.00 lvl:1.38) — The ability to use your abdominal and lower back muscles to support part of the 
  Visual Color Discrimination (imp:2.00 lvl:1.12) — The ability to match or detect differences between colors, including shades of c
  Hearing Sensitivity (imp:1.88 lvl:1.00) — The ability to detect or tell the differences between sounds that vary in pitch 
  Auditory Attention (imp:1.88 lvl:1.00) — The ability to focus on a single source of sound in the presence of other distra
  Finger Dexterity (imp:1.62 lvl:1.00) — The ability to make precisely coordinated movements of the fingers of one or bot
  Wrist-Finger Speed (imp:1.62 lvl:0.75) — The ability to make fast, simple, repeated movements of the fingers, hands, and 
  Depth Perception (imp:1.62 lvl:0.62) — The ability to judge which of several objects is closer or farther away from you
  Spatial Orientation (imp:1.00) — The ability to know your location in relation to the environment or to know wher
  Arm-Hand Steadiness (imp:1.00) — The ability to keep your hand and arm steady while moving your arm or while hold
  Manual Dexterity (imp:1.00) — The ability to quickly move your hand, your hand together with your arm, or your
  Control Precision (imp:1.00) — The ability to quickly and repeatedly adjust the controls of a machine or a vehi
  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
  Rate Control (imp:1.00) — The ability to time your movements or the movement of a piece of equipment in an
  Reaction Time (imp:1.00) — The ability to quickly respond (with the hand, finger, or foot) to a signal (sou
  Speed of Limb Movement (imp:1.00) — The ability to quickly move the arms and legs.
  Static Strength (imp:1.00) — The ability to exert maximum muscle force to lift, push, pull, or carry objects.
  Explosive Strength (imp:1.00) — The ability to use short bursts of muscle force to propel oneself (as in jumping
  Dynamic Strength (imp:1.00) — The ability to exert muscle force repeatedly or continuously over time. This inv
  Stamina (imp:1.00) — The ability to exert yourself physically over long periods of time without getti
  Extent Flexibility (imp:1.00) — The ability to bend, stretch, twist, or reach with your body, arms, and/or legs.
  Dynamic Flexibility (imp:1.00) — The ability to quickly and repeatedly bend, stretch, twist, or reach out with yo
  Gross Body Coordination (imp:1.00) — The ability to coordinate the movement of your arms, legs, and torso together wh
  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 ---
  Analyzing Data or Information (imp:4.95 lvl:6.71) — Identifying the underlying principles, reasons, or facts of information by break
  Working with Computers (imp:4.95 lvl:5.10) — Using computers and computer systems (including hardware and software) to progra
  Processing Information (imp:4.79 lvl:6.35) — Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying
  Interpreting the Meaning of Information for Others (imp:4.70 lvl:5.86) — Translating or explaining what information means and how it can be used.
  Making Decisions and Solving Problems (imp:4.63 lvl:5.48) — Analyzing information and evaluating results to choose the best solution and sol
  Getting Information (imp:4.50 lvl:5.43) — Observing, receiving, and otherwise obtaining information from all relevant sour
  Communicating with Supervisors, Peers, or Subordinates (imp:4.40 lvl:5.52) — Providing information to supervisors, co-workers, and subordinates by telephone,
  Updating and Using Relevant Knowledge (imp:4.30 lvl:5.95) — Keeping up-to-date technically and applying new knowledge to your job.
  Documenting/Recording Information (imp:4.10 lvl:5.24) — Entering, transcribing, recording, storing, or maintaining information in writte
  Thinking Creatively (imp:4.00 lvl:5.76) — Developing, designing, or creating new applications, ideas, relationships, syste
  Providing Consultation and Advice to Others (imp:4.00 lvl:5.19) — Providing guidance and expert advice to management or other groups on technical,
  Evaluating Information to Determine Compliance with Standards (imp:3.95 lvl:4.67) — Using relevant information and individual judgment to determine whether events o
  Organizing, Planning, and Prioritizing Work (imp:3.95 lvl:5.38) — Developing specific goals and plans to prioritize, organize, and accomplish your
  Identifying Objects, Actions, and Events (imp:3.90 lvl:5.29) — Identifying information by categorizing, estimating, recognizing differences or 
  Estimating the Quantifiable Characteristics of Products, Events, or Information (imp:3.90 lvl:4.95) — Estimating sizes, distances, and quantities; or determining time, costs, resourc
  Establishing and Maintaining Interpersonal Relationships (imp:3.60 lvl:4.67) — Developing constructive and cooperative working relationships with others, and m
  Developing Objectives and Strategies (imp:3.45 lvl:4.76) — Establishing long-range objectives and specifying the strategies and actions to 
  Training and Teaching Others (imp:3.40 lvl:4.43) — Identifying the educational needs of others, developing formal educational or tr
  Communicating with People Outside the Organization (imp:3.37 lvl:4.62) — Communicating with people outside the organization, representing the organizatio
  Judging the Qualities of Objects, Services, or People (imp:3.10 lvl:3.95) — Assessing the value, importance, or quality of things or people.
  Developing and Building Teams (imp:3.05 lvl:3.95) — Encouraging and building mutual trust, respect, and cooperation among team membe
  Coordinating the Work and Activities of Others (imp:3.00 lvl:4.05) — Getting members of a group to work together to accomplish tasks.
  Monitoring Processes, Materials, or Surroundings (imp:2.95 lvl:4.00) — Monitoring and reviewing information from materials, events, or the environment,
  Coaching and Developing Others (imp:2.90 lvl:4.00) — Identifying the developmental needs of others and coaching, mentoring, or otherw
  Guiding, Directing, and Motivating Subordinates (imp:2.80 lvl:3.57) — Providing guidance and direction to subordinates, including setting performance 
  Scheduling Work and Activities (imp:2.55 lvl:3.29) — Scheduling events, programs, and activities, as well as the work of others.
  Resolving Conflicts and Negotiating with Others (imp:2.50 lvl:3.24) — Handling complaints, settling disputes, and resolving grievances and conflicts, 
  Performing Administrative Activities (imp:2.50 lvl:2.76) — Performing day-to-day administrative tasks such as maintaining information files
  Selling or Influencing Others (imp:2.30 lvl:2.86) — Convincing others to buy merchandise/goods or to otherwise change their minds or
  Staffing Organizational Units (imp:2.05 lvl:2.67) — Recruiting, interviewing, selecting, hiring, and promoting employees in an organ
  Monitoring and Controlling Resources (imp:1.90 lvl:1.95) — Monitoring and controlling resources and overseeing the spending of money.
  Assisting and Caring for Others (imp:1.74 lvl:1.24) — Providing personal assistance, medical attention, emotional support, or other pe
  Performing for or Working Directly with the Public (imp:1.70 lvl:1.57) — Performing for people or dealing directly with the public. This includes serving
  Controlling Machines and Processes (imp:1.40 lvl:0.81) — Using either control mechanisms or direct physical activity to operate machines 
  Inspecting Equipment, Structures, or Materials (imp:1.39 lvl:0.90) — Inspecting equipment, structures, or materials to identify the cause of errors o
  Repairing and Maintaining Electronic Equipment (imp:1.35 lvl:0.71) — Servicing, repairing, calibrating, regulating, fine-tuning, or testing machines,
  Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment (imp:1.15 lvl:0.43) — Providing documentation, detailed instructions, drawings, or specifications to t
  Performing General Physical Activities (imp:1.10 lvl:0.19) — Performing general physical activities includes doing activities that require co
  Operating Vehicles, Mechanized Devices, or Equipment (imp:1.10 lvl:0.29) — Running, maneuvering, navigating, or driving vehicles or mechanized equipment, s
  Handling and Moving Objects (imp:1.05 lvl:0.10) — Using hands and arms in handling, installing, positioning, and moving materials,
  Repairing and Maintaining Mechanical Equipment (imp:1.05 lvl:0.14) — Servicing, repairing, adjusting, and testing machines, devices, moving parts, an

--- WORK STYLES ---
  Dependability (imp:6.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Attention to Detail (imp:5.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Integrity (imp:4.00) — A tendency to be honest and ethical at work.
  Cautiousness (imp:3.00) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Attention to Detail (imp:3.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Intellectual Curiosity (imp:2.67) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Dependability (imp:2.41) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Achievement Orientation (imp:2.14) — A tendency to establish and maintain personally challenging work-related goals, 
  Integrity (imp:2.10) — A tendency to be honest and ethical at work.
  Cautiousness (imp:2.06) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Intellectual Curiosity (imp:2.00) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Innovation (imp:1.89) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Perseverance (imp:1.58) — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Tolerance for Ambiguity (imp:1.45) — A tendency to be comfortable with ambiguity and uncertainty at work.
  Adaptability (imp:1.05) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Achievement Orientation (imp:1.00) — A tendency to establish and maintain personally challenging work-related goals, 
  Stress Tolerance (imp:1.00) — A tendency to cope and function effectively in stressful situations at work.
  Self-Confidence (imp:0.97) — A tendency to believe in one's work-related capabilities and ability to control 
  Initiative (imp:0.87) — A tendency to be proactive and take on extra responsibilities and tasks that may
  Cooperation (imp:0.75) — A tendency to be pleasant, helpful, and willing to assist others at work.
  Humility (imp:0.45) — A tendency to be modest and humble when interacting with others at work.
  Self-Control (imp:0.42) — A tendency to remain calm and composed and to manage emotions effectively in res
  Sincerity (imp:0.28) — A tendency to be genuine and sincere in interactions with others at work, withou
  Leadership Orientation (imp:0.23) — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Empathy (imp:0.02) — A tendency to show concern for others and be sensitive to others' needs and feel
  Optimism (imp:0.01) — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Innovation () — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  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.
  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
  Social Orientation (imp:-0.12) — A tendency to seek out, enjoy, and be energized by social interaction at work.

--- TRANSFERABLE SKILLS ---
  Complex Problem Solving (imp:3.88 lvl:4.12) — Identifying complex problems and reviewing related information to develop and ev
  Judgment and Decision Making (imp:3.38 lvl:3.88) — Considering the relative costs and benefits of potential actions to choose the m
  Programming (imp:3.00 lvl:3.12) — Writing computer programs for various purposes.
  Systems Analysis (imp:3.00 lvl:3.12) — Determining how a system should work and how changes in conditions, operations, 
  Systems Evaluation (imp:3.00 lvl:3.12) — Identifying measures or indicators of system performance and the actions needed 
  Time Management (imp:3.00 lvl:3.00) — Managing one's own time and the time of others.
  Coordination (imp:2.88 lvl:3.00) — Adjusting actions in relation to others' actions.
  Instructing (imp:2.88 lvl:3.12) — Teaching others how to do something.
  Operations Analysis (imp:2.88 lvl:3.50) — Analyzing needs and product requirements to create a design.
  Social Perceptiveness (imp:2.75 lvl:3.00) — Being aware of others' reactions and understanding why they react as they do.
  Persuasion (imp:2.50 lvl:2.62) — Persuading others to change their minds or behavior.
  Service Orientation (imp:2.25 lvl:2.12) — Actively looking for ways to help people.
  Management of Personnel Resources (imp:2.25 lvl:2.38) — Motivating, developing, and directing people as they work, identifying the best 
  Negotiation (imp:2.00 lvl:2.00) — Bringing others together and trying to reconcile differences.
  Quality Control Analysis (imp:2.00 lvl:1.12) — Conducting tests and inspections of products, services, or processes to evaluate
  Operations Monitoring (imp:1.88 lvl:1.00) — Watching gauges, dials, or other indicators to make sure a machine is working pr
  Management of Financial Resources (imp:1.88 lvl:1.00) — Determining how money will be spent to get the work done, and accounting for the
  Management of Material Resources (imp:1.75 lvl:0.75) — Obtaining and seeing to the appropriate use of equipment, facilities, and materi
  Technology Design (imp:1.62 lvl:0.62) — Generating or adapting equipment and technology to serve user needs.
  Equipment Selection (imp:1.00) — Determining the kind of tools and equipment needed to do a job.
  Installation (imp:1.00) — Installing equipment, machines, wiring, or programs to meet specifications.
  Operation and Control (imp:1.00) — Controlling operations of equipment or systems.
  Equipment Maintenance (imp:1.00) — Performing routine maintenance on equipment and determining when and what kind o
  Troubleshooting (imp:1.00) — Determining causes of operating errors and deciding what to do about it.
  Repairing (imp:1.00) — Repairing machines or systems using the needed tools.
BLS OEWS May 2025 — 29,030 employed nationally bls.gov/oes ↗ · Public Domain · US Government · retrieved 2026-06-02
--- NATIONAL WAGES ---
  total_employment : 29,030
  annual_median    : $105,650
  annual_pct10     : $64,000
  annual_pct25     : $82,220
  annual_pct75     : $141,490
  annual_pct90     : $174,050
  annual_mean      : $115,700
  hourly_median    : $50.79

--- GEOGRAPHIC DISPERSION ---
  highest_state    : District of Columbia ($140,670)
  lowest_state     : Puerto Rico ($49,730)
  dispersion_ratio : 2.829x

--- TOP STATES BY WAGE (46 total) ---
  Professional, Scientific, and Technical Services emp:    9,440  median: $ 110,120
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    7,400  median: $ 114,920
  Educational Services                     emp:    3,740  median: $  82,480
  Health Care and Social Assistance        emp:    2,440  median: $ 100,900
  Management of Companies and Enterprises  emp:    1,390  median: $ 117,060
  Finance and Insurance                    emp:    1,310  median: $ 102,620
  Wholesale Trade                          emp:      780  median: $ 144,730
  Manufacturing                            emp:      570  median: $ 136,800
  Administrative and Support and Waste Management and Remediation Services emp:      470  median: $  98,260
  Information                              emp:      460  median: $ 124,300

--- TOP INDUSTRIES BY EMPLOYMENT (14 total) ---
  Professional, Scientific, and Technical Services emp:    9,440  median: $ 110,120
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    7,400  median: $ 114,920
  Educational Services                     emp:    3,740  median: $  82,480
  Health Care and Social Assistance        emp:    2,440  median: $ 100,900
  Management of Companies and Enterprises  emp:    1,390  median: $ 117,060
  Finance and Insurance                    emp:    1,310  median: $ 102,620
  Wholesale Trade                          emp:      780  median: $ 144,730
  Manufacturing                            emp:      570  median: $ 136,800
  Administrative and Support and Waste Management and Remediation Services emp:      470  median: $  98,260
  Information                              emp:      460  median: $ 124,300
Wikipedia — Statistician (338 words) https://en.wikipedia.org/wiki/Statistician ↗ · CC BY-SA 4.0
exact_match_status : found
matched_title      : Statistician
match_score        : 0.9600
wikidata_qid       : Q2732142
word_count         : 338
wikipedia_url      : https://en.wikipedia.org/wiki/Statistician
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T20:26:46.945673Z

--- WIKIPEDIA FULL TEXT ---
A statistician is a person who works with theoretical or applied statistics. The profession exists in both the private and public sectors. 
It is common to combine statistical knowledge with expertise in other subjects, and statisticians may work as employees or as statistical consultants.


== Overview ==
According to the United States Bureau of Labor Statistics, as of 2014, 26,970 jobs were classified as statistician in the United States. Of these people, approximately 30 percent worked for governments (federal, state, or local). As of October 2021, the median pay for statisticians in the United States was $92,270.  
Additionally, there is a substantial number of people who use statistics and data analysis in their work but have job titles other than statistician, such as actuaries, applied mathematicians, economists, data scientists, data analysts (predictive analytics), financial analysts, psychometricians, sociologists, epidemiologists, and quantitative psychologists. Statisticians are included with the professions in various national and international occupational classifications. 
In many countries, including the United States, employment in the field requires either a master's degree in statistics or a related field or a PhD. 
According to one industry professional, "Typical work includes collaborating with scientists, providing mathematical modeling, simulations, designing randomized experiments and randomized sampling plans, analyzing experimental or survey results, and forecasting future events (such as sales of a product)."
According to the BLS, "Overall employment grew 33% from 2016 to 2026, much faster than average for all occupations. Businesses will need these workers to analyze the increasing volume of digital and electronic data." In October 2021, the CNBC rated it the fastest growing job in science and technology of the next decade, with a projected growth rate of 35.40%.


== See also ==
List of statisticians
Category:Statisticians
History of statistics
Data science


== References ==


== External links ==

Statistician entry, Occupational Outlook Handbook, U.S. Bureau of Labor Statistics
Careers Center, American Statistical Association
Careers information, Royal Statistical Society (UK)
Listing of tasks and duties - The International Standard Classification of Occupations (ISCO)
Listings of nature of work etc - O*NET

--- SEMANTIC NEIGHBORS (5) ---

  Title: Marathon world record progression (similarity: 0.1739)
  URL: https://en.wikipedia.org/wiki/Marathon_world_record_progression
  QID: Q929585
  Extract: World records in the marathon are ratified by World Athletics, the international governing body for the sport of athletics.

  Title: List of FA Cup finals (similarity: 0.3529)
  URL: https://en.wikipedia.org/wiki/List_of_FA_Cup_finals
  QID: Q769746
  Extract: The Football Association Challenge Cup, commonly known as the FA Cup, is a knockout competition in English football, organised by and named after The Football Association, the governing body of the sport in England. It is the oldest existing football competition in the world, having commenced in the

  Title: Database administrator (similarity: 0.3429)
  URL: https://en.wikipedia.org/wiki/Database_administrator
  QID: Q1078262
  Extract: A database administrator (DBA) manages computer databases. The role may include capacity planning, installation, configuration, database design, migration, performance monitoring, security, troubleshooting, as well as backup and data recovery.

  Title: Chartered Financial Analyst (similarity: 0.3500)
  URL: https://en.wikipedia.org/wiki/Chartered_Financial_Analyst
  QID: Q1067869
  Extract: The Chartered Financial Analyst (CFA) program is a postgraduate professional certification offered internationally by the US-based CFA Institute to investment and financial professionals. The program teaches a wide range of subjects relating to advanced investment analysis—including business analysi

  Title: Financial analyst (similarity: 0.4000)
  URL: https://en.wikipedia.org/wiki/Financial_analyst
  QID: Q1416279
  Extract: A financial analyst is a professional undertaking financial analysis for external or internal clients as a core feature of the job. The role may specifically be titled securities analyst, research analyst, equity analyst, investment analyst, or ratings analyst. The job title is a broad one:
In banki
Claude Inference — claude-sonnet-4-20250514 · confidence:high · $0.0427 inferred_at: 2026-06-03T14:17:06 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, extensive skill/knowledge profiles, and clear educational requirements. BLS wage data and employment figures provide solid market intelligence foundation.
inferred_at          : 2026-06-03T14:17:06.475302+00:00
tokens_input         : 4,473
tokens_output        : 3,650
cost_usd             : $0.042748
wikipedia_used       : True
wikipedia_title      : Statistician
wikipedia_note       : The Wikipedia definition aligns with O*NET data, confirming statisticians work with theoretical or applied statistics in both private and public sectors. The broad definition supports the occupation's presence across multiple industries as reflected in employment data.

--- PROSE FIELDS ---

ROLE SUMMARY:
Statisticians develop and apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. They specialize in fields such as biostatistics, business statistics, economic statistics, or agricultural statistics. These professionals transform raw data into actionable insights that inform decision-making across industries including healthcare, government, technology, and research.

DAY IN THE LIFE:
A statistician begins their day by analyzing and interpreting statistical data to identify significant differences in relationships among various information sources. They evaluate statistical methods and procedures used to obtain data, ensuring validity, applicability, and efficiency of their analyses. Much of their time is spent working with computers using tools like Apache Spark, IBM SPSS Statistics, and Amazon Web Services to process and analyze large datasets. They prepare data for processing by organizing information, checking for inaccuracies, and adjusting raw data as needed. Throughout the day, they create reports with graphs, charts, and tables to communicate their findings, and may present statistical results in meetings or conferences to various audiences.

WHO THRIVES:
Individuals who excel in this role possess exceptional mathematical reasoning abilities and number facility, combined with strong written and oral communication skills to interpret findings for others. They demonstrate high levels of dependability and attention to detail, as statistical accuracy is critical to their work. The most successful statisticians have investigative personalities who enjoy solving complex problems through systematic analysis, paired with conventional traits that help them organize and process large amounts of data methodically. They must be comfortable with extensive computer work and possess strong critical thinking skills to determine appropriate analytical methods based on research questions.

CAREER ENTRY:
Entry into this profession requires extensive preparation, with 61.9% of statisticians holding master's degrees and 14.3% holding bachelor's degrees according to education distribution data. A strong foundation in mathematics, statistics, and computer programming is essential. Many positions require advanced coursework in statistical methods, data analysis, and specialized software tools like SPSS, R, or Python.

CAREER TRAJECTORY:
Statisticians can advance to senior analytical roles, research director positions, or specialized consultant roles in their field of expertise. Many progress into data science leadership positions or academic research roles, particularly those with doctoral degrees (9.5% of the field). The role often serves as a gateway to related positions such as data scientist, operations research analyst, or quantitative analyst in financial services.

MARKET INTELLIGENCE:
The Bureau of Labor Statistics reports median annual wages of $105,650 for statisticians as of May 2025, with employment of 29,030 professionals nationwide. Wages range from $64,000 at the 10th percentile to $174,050 at the 90th percentile, reflecting significant earning potential with experience and specialization. Geographic variation is substantial, with the District of Columbia offering the highest median wages at $140,670 compared to Puerto Rico at $49,730. The largest employers are professional, scientific, and technical services (9,440 employed), followed by government agencies (7,400 employed), and educational services (3,740 employed). The field benefits from growing demand for data-driven decision making across all sectors.

AUTOMATION OUTLOOK:
Statisticians face moderate automation risk as some routine data processing and basic analytical tasks become automated through machine learning tools. However, their core work of interpreting statistical results, designing experimental methodologies, and communicating findings to stakeholders remains highly resistant to automation due to the need for human judgment and domain expertise.

--- REASONED EDGES ---
  [skill_overlap] Data Scientists (15-2051.00) — confidence:high
    reasoning: Both roles share high-importance skills in mathematics, critical thinking, and programming with similar computer-intensive work activities.
    data: Mathematics skill importance 4.9 vs similar
    data: Working with Computers activity importance 5.0
    data: Programming transferable skill
  [career_pathway] Biostatisticians (15-2041.01) — confidence:high
    reasoning: Biostatisticians represent a specialized application of statistical methods within healthcare and biological research domains.
    data: Same SOC family 15-2041
    data: Biology knowledge area listed
    data: O*NET declares Primary-Short relationship
  [knowledge_overlap] Mathematicians (15-2021.00) — confidence:high
    reasoning: Both roles require extensive mathematical reasoning abilities and mathematics knowledge at advanced levels.
    data: Mathematics knowledge importance 4.7 level 6.2
    data: Mathematical Reasoning ability importance 4.8
    data: Job Zone 5 extensive preparation
  [riasec_cluster] Operations Research Analysts (15-2031.00) — confidence:medium
    reasoning: Both roles exhibit investigative and conventional personality types with focus on analytical problem-solving and systematic data processing.
    data: RIASEC I:6.58 C:6.03 pattern
    data: Analyzing Data work activity importance 5.0
    data: Complex Problem Solving transferable skill
  [task_similarity] Financial Quantitative Analysts (13-2099.01) — confidence:medium
    reasoning: Both roles involve developing analytical methods, interpreting statistical data, and presenting findings through charts and reports.
    data: Analyze and interpret statistical data tasks
    data: Report results using graphs and charts
    data: O*NET Primary-Long relationship

--- NORMALIZER SIGNALS ---
  match_keywords   : ['statistician', 'statistical analysis', 'data analysis', 'mathematical modeling', 'biostatistician', 'applied statistics', 'statistical methods', 'quantitative analysis']
  exclude_keywords : ['data entry', 'accounting', 'bookkeeping', 'basic math', 'clerical']
  title_patterns   : ['*Statistician*', '*Statistical*', '*Data Analyst*', '*Quantitative*', '*Biostatistician*']
  common_variations: ['Applied Statistician', 'Statistical Analyst', 'Biostatistician', 'Data Analyst', 'Quantitative Analyst', 'Research Statistician', 'Mathematical Statistician', 'Statistical Consultant']
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', 'statistical', 'analysis', 'principles', 'research', 'techniques', 'includes', 'design', 'problems', 'control', 'objects', 'body', 'statisticians', 'appropriate', 'financial', 'ideas', 'procedures', 'results']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
tendency                   42  0.01475  onet_dimensions      onet_dimensions:100%
others                     41  0.01440  onet_dimensions      onet_dimensions:93%  dwas:5%  inference:2%
equipment                  23  0.00808  onet_dimensions      onet_dimensions:100%
statistical                21  0.00737  onet_tasks           onet_tasks:43%  inference:33%  wikipedia:19%
analysis                   19  0.00667  dwas                 dwas:32%  wikipedia:26%  onet_dimensions:21%
principles                 17  0.00597  onet_dimensions      onet_dimensions:94%  dwas:6%
research                   15  0.00527  dwas                 dwas:33%  inference:33%  onet_tasks:20%
techniques                 13  0.00456  onet_dimensions      onet_dimensions:77%  onet_tasks:23%
includes                   13  0.00456  onet_dimensions      onet_dimensions:92%  wikipedia:8%
design                     12  0.00421  onet_dimensions      onet_dimensions:50%  dwas:33%  onet_tasks:8%
problems                   12  0.00421  onet_dimensions      onet_dimensions:75%  onet_tasks:8%  dwas:8%
control                    12  0.00421  onet_dimensions      onet_dimensions:100%
objects                    12  0.00421  onet_dimensions      onet_dimensions:100%
body                       12  0.00421  onet_dimensions      onet_dimensions:83%  wikipedia:17%
statisticians              12  0.00421  inference            inference:58%  wikipedia:42%
appropriate                11  0.00386  onet_dimensions      onet_dimensions:45%  dwas:36%  onet_tasks:9%
financial                  11  0.00386  wikipedia            wikipedia:64%  onet_dimensions:27%  inference:9%
ideas                      11  0.00386  onet_dimensions      onet_dimensions:100%
procedures                 10  0.00351  onet_dimensions      onet_dimensions:80%  onet_tasks:10%  inference:10%
results                    10  0.00351  onet_tasks           onet_tasks:40%  dwas:20%  inference:20%
management                 10  0.00351  onet_dimensions      onet_dimensions:70%  wikipedia:30%
services                   10  0.00351  onet_dimensions      onet_dimensions:60%  inference:40%
materials                  10  0.00351  onet_dimensions      onet_dimensions:100%
analyst                    10  0.00351  wikipedia            wikipedia:80%  inference:20%
needs                       9  0.00316  onet_dimensions      onet_dimensions:89%  onet_tasks:11%
monitoring                  9  0.00316  onet_dimensions      onet_dimensions:89%  wikipedia:11%
computer                    9  0.00316  onet_dimensions      onet_dimensions:33%  dwas:33%  inference:22%
resources                   9  0.00316  onet_dimensions      onet_dimensions:100%
events                      9  0.00316  onet_dimensions      onet_dimensions:89%  wikipedia:11%
quickly                     9  0.00316  onet_dimensions      onet_dimensions:100%
activities                  9  0.00316  onet_dimensions      onet_dimensions:100%
orientation                 9  0.00316  onet_dimensions      onet_dimensions:100%
differences                 8  0.00281  onet_dimensions      onet_dimensions:75%  onet_tasks:12%  inference:12%
relationships               8  0.00281  onet_dimensions      onet_dimensions:38%  onet_tasks:25%  dwas:25%
mathematical                8  0.00281  onet_dimensions      onet_dimensions:38%  inference:25%  onet_tasks:12%
rules                       8  0.00281  onet_dimensions      onet_dimensions:100%
performance                 8  0.00281  onet_dimensions      onet_dimensions:88%  wikipedia:12%
human                       8  0.00281  onet_dimensions      onet_dimensions:88%  inference:12%
production                  8  0.00281  onet_dimensions      onet_dimensions:100%
providing                   8  0.00281  onet_dimensions      onet_dimensions:88%  wikipedia:12%
◈ Boise Standard Employment Graph · 15-2041.00 · 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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