BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 8% इस मान के बराबर या उससे अधिक हैं।
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Conduct research to gather information about survey topics.Details
19-3022
0.195167.6
0.11036.7
Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, literature reviews, and file reviews.Details
19-3022
0.032111.1
0.04222.6
Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.Details
19-3022
0.02619.1
0.05493.3
Review, classify, and record survey data in preparation for computer analysis.Details
19-3022
0.02187.5
1.385984.3
Analyze data from surveys, old records, or case studies, using statistical software.Details
19-3022
0.01334.6
0.05013.0
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
Review, classify, and record survey data in preparation for computer analysis.Details
O*NET Task ID 7548
1.0
Produce documentation of the questionnaire development process, data collection methods, sampling designs, and decisions related to sample statistical weighting.Details
O*NET Task ID 7554
1.0
Write training manuals to be used by survey interviewers.Details
O*NET Task ID 7559
1.0
Write proposals to win new projects.Details
O*NET Task ID 21107
1.0
Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.Details
O*NET Task ID 7545
0.5
Consult with clients to identify survey needs and specific requirements, such as special samples.Details
O*NET Task ID 7546
0.5
Analyze data from surveys, old records, or case studies, using statistical software.Details
O*NET Task ID 7547
0.5
Conduct research to gather information about survey topics.Details
O*NET Task ID 7549
0.5
Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, literature reviews, and file reviews.Details
O*NET Task ID 7550
0.5
Collaborate with other researchers in the planning, implementation, and evaluation of surveys.Details
O*NET Task ID 7551
0.5
Direct and review the work of staff members, including survey support staff and interviewers who gather survey data.Details
O*NET Task ID 7552
0.5
Monitor and evaluate survey progress and performance, using sample disposition reports and response rate calculations.Details
O*NET Task ID 7553
0.5
Determine and specify details of survey projects, including sources of information, procedures to be used, and the design of survey instruments and materials.Details
O*NET Task ID 7555
0.5
Support, plan, and coordinate operations for single or multiple surveys.Details
O*NET Task ID 7556
0.5
Direct updates and changes in survey implementation and methods.Details
O*NET Task ID 7557
0.5
Hire and train recruiters and data collectors.Details
O*NET Task ID 7558
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
व्यावसायिक जानकारी
आईएलओ व्यावसायिक विवरण
Mathematicians, Actuaries and Statisticians
गणितज्ञ, बीमांकक और सांख्यिकीविद्
स्वयं अनूदित
स्वयं अनूदित — यह आधिकारिक ISCO शब्दावली नहीं है (ILO द्वारा समीक्षित नहीं)।
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.
कार्य
(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.
Actuarial consultants analyse, manage and provide guidance on financial impact of risks. They can work in fields related to insurance, pension, investment, banking, healthcare etc. Actuarial consultants apply technical and statistical models and theories to give strategic, commercial, and financial advice.
gambling, betting, and lottery game developerESCO 2120.3
Gambling, betting, and lottery game developers create, develop and produce content for new lottery and similar games for large audiences.
gambling, betting, and lottery quality assurance engineerESCO 2120.4
Gambling, betting and lottery quality assurance engineers design and plan methods to test the gambling, the lottery or betting games. They execute the tests. These games can be both for public or for private audience, and the tests are for both online and land-based gaming.
mathematicianESCO 2120.5
Mathematicians study and deepen existing mathematical theories in order to expand the knowledge and find new paradigms within the field. They can apply this knowledge to challenges presented in engineering and scientific projects in order to assure that measurements, quantities, and mathematic laws prove their viability.
statisticianESCO 2120.6
Statisticians collect, tabulate, and, most importantly, analyse quantitative information coming from a varied array of fields. They interpret and analyse statistical studies on fields such as health, demographics, finance, business, etc. and advise based on patterns and drawn analysis.
biometricianESCO 2120.6.1
Biometricians perform research in the field of biometrics. They carry statistical or biological research projects by measuring fingerprints, retinas, and human shapes for medical or industrial applications.
demographerESCO 2120.2
Demographers study a variety of parameters related with population. They develop, based on their observations, statistical analyses on the evolutions and changes of births, elderly, marriage and divorce, employment, mortality, immigration and related matters.
स्रोत: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: -4.8%
Median wage: $69K
lowest $31Kmedian wage across 825 detailed occupations, BLS EP 2025–35highest $559K
