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।
Task-level exposure
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
Write research proposals or grant applications for submission to external bodies.Details
O*NET Task ID 16241
1.0
Prepare articles for publication or presentation at professional conferences.Details
O*NET Task ID 16245
1.0
Calculate sample size requirements for clinical studies.Details
O*NET Task ID 16246
1.0
Assign work to biostatistical assistants or programmers.Details
O*NET Task ID 16248
1.0
Write program code to analyze data with statistical analysis software.Details
O*NET Task ID 16249
1.0
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.Details
O*NET Task ID 16250
1.0
Develop or implement data analysis algorithms.Details
O*NET Task ID 16257
1.0
Design or maintain databases of biological data.Details
O*NET Task ID 16259
1.0
Teach graduate or continuing education courses or seminars in biostatistics.Details
O*NET Task ID 16242
0.5
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.Details
O*NET Task ID 16243
0.5
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.Details
O*NET Task ID 16244
0.5
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.Details
O*NET Task ID 16247
0.5
Plan or direct research studies related to life sciences.Details
O*NET Task ID 16251
0.5
Prepare tables and graphs to present clinical data or results.Details
O*NET Task ID 16252
0.5
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.Details
O*NET Task ID 16253
0.5
Draw conclusions or make predictions, based on data summaries or statistical analyses.Details
O*NET Task ID 16254
0.5
Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases.Details
O*NET Task ID 16255
0.5
Design surveys to assess health issues.Details
O*NET Task ID 16256
0.5
Design research studies in collaboration with physicians, life scientists, or other professionals.Details
O*NET Task ID 16258
0.5
Collect data through surveys or experimentation.Details
O*NET Task ID 16260
0.5
Analyze archival data, such as birth, death, and disease records.Details
O*NET Task ID 16261
0.5
Review clinical or other medical research protocols and recommend appropriate statistical analyses.Details
O*NET Task ID 16262
0.5
Provide biostatistical consultation to clients or colleagues.Details
O*NET Task ID 16263
0.5
Apply research or simulation results to extend biological theory or recommend new research projects.Details
O*NET Task ID 16264
0.5
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.Details
O*NET Task ID 16265
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®, 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: +11%
Median wage: $106K
lowest $31Kmedian wage across 825 detailed occupations, BLS EP 2025–35highest $559K
