Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 8% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
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
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.
Tâches
(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.
Les actuaires analysent, gèrent et fournissent des orientations sur l’incidence financière des risques. Ils/elles peuvent travailler dans des domaines liés à l’assurance, à la retraite, à l’investissement, à la banque, aux soins de santé, etc. Les actuaires appliquent des modèles et des théories techniques et statistiques pour fournir des conseils stratégiques, commerciaux et financiers.
créateur de jeux de hasard et pari/créatrice de jeux de hasard et pariESCO 2120.3
Les créateurs de jeux de hasard et pari/créatrices de jeux de hasard et pari créent, développent et produisent des contenus pour de nouvelles loteries et des jeux similaires destinés à de vastes publics.
ingénieur assurance qualité en jeux de hasard et pari/ingénieure assurance qualité en jeux de hasard et pariESCO 2120.4
Les ingénieurs assurance qualité en jeux de hasard et pari/ingénieures assurance qualité en jeux de hasard et pari conçoivent et prévoient des méthodes visant à tester les jeux de hasard, loterie ou pari. Ils réalisent des tests. Ces jeux peuvent être publics ou privés, et les tests portent aussi bien sur les jeux en ligne que sur les jeux physiques.
mathématicien/mathématicienneESCO 2120.5
Les mathématiciens/mathématiciennes étudient et approfondissent les théories mathématiques existantes afin de développer les connaissances et de trouver de nouveaux paradigmes dans le domaine. Ils/elles peuvent appliquer ces connaissances aux défis qui se posent dans les projets d’ingénierie et les projets scientifiques afin de veiller à ce que les mesures, les quantités et les lois mathématiques prouvent leur viabilité.
statisticien/statisticienneESCO 2120.6
Les statisticiens/statisticiennes collectent, présentent sous forme de tableau et, surtout, analysent des informations quantitatives provenant d’un vaste éventail de domaines. Ils/elles interprètent et analysent des études statistiques sur des domaines tels que la santé, la démographie, la finance, les affaires, etc., et fournissent des conseils sur la base de modèles et des analyses réalisées.
biométricien/biométricienneESCO 2120.6.1
Les biométriciens/biométriciennes réalisent des recherches dans le domaine de la biométrie. Ils/elles mènent des projets de recherche statistique ou biologique en mesurant les empreintes digitales, les rétines et les formes humaines pour des applications médicales ou industrielles.
démographeESCO 2120.2
Les démographes étudient divers paramètres liés à la population. Ils/elles développent, sur la base de leurs observations, des analyses statistiques sur les évolutions et les changements concernant les naissances, les personnes âgées, le mariage et le divorce, l’emploi, la mortalité, l’immigration et les questions connexes.
Source: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
