Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Report results of statistical analyses, including information in the form of graphs, charts, and tables.Details
15-2041
0.070015.2
0.01001.0
Identify relationships and trends in data, as well as any factors that could affect the results of research.Details
15-2041
0.060013.0
0.140013.7
Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.Details
15-2041
0.050010.9
0.01001.0
Write program code to analyze data with statistical analysis software.Details
15-2041
0.050010.9
0.01001.0
Draw conclusions or make predictions, based on data summaries or statistical analyses.Details
15-2041
0.04008.7
0.220021.6
Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.Details
15-2041
0.04008.7
0.150014.7
Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.Details
15-2041
0.03006.5
0.00000.0
Evaluate sources of information to determine any limitations, in terms of reliability or usability.Details
15-2041
0.02004.3
0.390038.2
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.Details
15-2041
0.02004.3
0.00000.0
Prepare tables and graphs to present clinical data or results.Details
15-2041
0.02004.3
0.00000.0
Determine whether statistical methods are appropriate, based on user needs or research questions of interest.Details
15-2041
0.01002.2
0.03002.9
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.Details
15-2041
0.01002.2
0.02002.0
Process large amounts of data for statistical modeling and graphic analysis, using computers.Details
15-2041
0.01002.2
0.01001.0
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.Details
15-2041
0.01002.2
0.01001.0
Develop or implement data analysis algorithms.Details
15-2041
0.01002.2
0.01001.0
Develop and test experimental designs, sampling techniques, and analytical methods.Details
15-2041
0.01002.2
0.00000.0
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.Details
15-2041
0.00000.0
0.01001.0
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
Task
βE1 + 0.5 × E2
Process large amounts of data for statistical modeling and graphic analysis, using computers.Details
O*NET Task ID 8954
1.0
Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.Details
O*NET Task ID 8957
1.0
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.Details
O*NET Task ID 8958
1.0
Supervise and provide instructions for workers collecting and tabulating data.Details
O*NET Task ID 8963
1.0
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.Details
O*NET Task ID 8965
1.0
Develop and test experimental designs, sampling techniques, and analytical methods.Details
O*NET Task ID 8966
1.0
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.Details
O*NET Task ID 8967
1.0
Develop software applications or programming for statistical modeling and graphic analysis.Details
O*NET Task ID 20193
1.0
Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.Details
O*NET Task ID 20194
1.0
Determine whether statistical methods are appropriate, based on user needs or research questions of interest.Details
O*NET Task ID 21100
1.0
Prepare and structure data warehouses for storing data.Details
O*NET Task ID 21101
1.0
Report results of statistical analyses, including information in the form of graphs, charts, and tables.Details
O*NET Task ID 8953
0.5
Identify relationships and trends in data, as well as any factors that could affect the results of research.Details
O*NET Task ID 8955
0.5
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.Details
O*NET Task ID 8956
0.5
Evaluate sources of information to determine any limitations, in terms of reliability or usability.Details
O*NET Task ID 8959
0.5
Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.Details
O*NET Task ID 8960
0.5
Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.Details
O*NET Task ID 8961
0.5
Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.Details
O*NET Task ID 8964
0.5
Report results of statistical analyses in peer-reviewed papers and technical manuals.Details
O*NET Task ID 20192
0.5
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Informação ocupacional
Descrição ocupacional da OIT
Mathematicians, Actuaries and Statisticians
Matemáticos, actuários e estaticistas
Fonte:European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
Mathematicians, actuaries and statisticians conduct research and improve or develop mathematical, actuarial and statistical concepts, theories and operational methods and techniques and advise on or engage in their practical application in such fields as engineering, business and social and other sciences.
Tarefas
(a) studying, improving and developing mathematical, actuarial and statistical theories and techniques;
(b) advising on or applying mathematical principles, models and techniques to a wide range of tasks in the fields of engineering, natural, social or life sciences;
(c) conducting logical analyses of management problems, especially in terms of input-output effectiveness, and formulating mathematical models of each problem usually for programmeming and solution by computer;
(c) designing and putting into operation pension schemes and life, health, social and other types of insurance systems;
(e) applying mathematics, statistics, probability and risk theory to assess potential financial impacts of future events;
(f) planning and organizing surveys and other statistical collections, and designing questionnaires;
(g) evaluating, processing, analysing, and interpreting statistical data and preparing them for publication;
(h) advising on or applying various data collection methods and statistical methods and techniques, and determining reliability of findings, especially in such fields as business or medicine as well as in other areas of natural, social or life sciences;
(i) preparing scientific papers and reports;
(j) supervising the work of mathematical, actuarial and statistical assistants and statistical clerks.
Os consultores atuariais analisam, gerem e fornecem orientações sobre o impacto financeiro dos riscos. Podem trabalhar em domínios relacionados com seguros, pensões, investimentos, serviços bancários, cuidados de saúde, etc.. Os consultores atuariais aplicam modelos e teorias técnicos e estatísticos para prestar aconselhamento estratégico, comercial e financeiro.
Desenvolvedor de jogos de fortuna e azar, de apostas e de lotaria/Desenvolvedora de jogos de fortuna e azar, de apostas e de lotariaESCO 2120.3
Os desenvolvedores de jogos de fortuna e azar, de apostas e de lotaria criam, desenvolvem e produzem conteúdos para novas lotarias e jogos semelhantes para grandes públicos.
Controlador da qualidade dos jogos de fortuna e azar, de apostas e de lotaria/Controladora da qualidade dos jogos de fortuna e azar, de apostas e de lotariaESCO 2120.4
Os controladores da qualidade dos jogos de fortuna e azar, de apostas e de lotaria concebem e planificam métodos de teste dos jogos de azar, de lotaria ou de apostas. Executam os testes. Estes jogos podem destinar-se quer ao grande público quer a um público privado, sendo os testes tanto para os jogos em linha como para os jogos físicos.
Matemático/MatemáticaESCO 2120.5
Os matemáticos estudam e aprofundam as teorias matemáticas, a fim de expandir o conhecimento e encontrar novos paradigmas no terreno. Podem aplicar esse conhecimento aos desafios colocados por projetos científicos e de engenharia, a fim de assegurar que as medições, as quantidades e as leis matemáticas comprovam a sua viabilidade.
EstaticistaESCO 2120.6
Os estaticistas recolhem, tabulam e, sobretudo, analisam as informações quantitativas provenientes de diversos domínios. Interpretam e analisam os estudos estatísticos em domínios como a saúde, a demografia, as finanças, as empresas, etc., e prestam aconselhamento com base em padrões e análises realizadas.
Técnico de biometria/Técnica de biometriaESCO 2120.6.1
Os técnicos de biometria realizam investigação no domínio da biometria. Realizam projetos de investigação estatística ou biológica através da medição de impressões digitais, da retina e das formas humanas para aplicações médicas ou industriais.
Demógrafo/DemógrafaESCO 2120.2
Os demógrafos estudam uma série de parâmetros relacionados com a população. Com base nas suas observações, desenvolvem análises estatísticas sobre a evolução e as alterações dos nascimentos, da população idosa, do casamento e do divórcio, do emprego, da mortalidade, da imigração e de questões conexas.
Fonte:European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
ESCO reuse terms and the modification notice are in Credits.
Shown in the original Korean. This dataset is published under KOGL Type 4, which prohibits derivative works including translation, so the text is reproduced unaltered.
The KNOW occupations and KECO codes listed here were linked to this page's occupation by this site; this is not a correspondence defined by the Korea Employment Information Service or the Ministry of Employment and Labor.
Projected change: +11%
Median wage: $106K
lowest $31Kmedian wage across 825 detailed occupations, BLS EP 2025–35highest $559K
