Operations Research Analysts
Computer and Mathematical Occupations- O*NET-SOC 代码
- 15-2031.00
Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decisionmaking, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, services, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.
- 数据来源: BLS发布时间: 2026-08
很高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别(低 / 中等 / 高 / 很高)
以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.429
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.56
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数,按发布原值0–1
按 ISCO-08 细类(4 位)发布的数值。按原样应用美国劳工统计局(BLS)的官方对照表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)关联到本职业,对应关系为全部或部分对应
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。
Task-level exposure
仅显示有暴露的工作已评分任务 16 项 · β ≥ 0.5 的任务 16 项(100.0%)
β = 直接暴露(E1)+ 0.5 × 借助工具时的暴露(E2),依据原始代码库的定义。
- 原始单位:O*NET 27.2 任务 → O*NET 31.0 职业代码
- 所有已评分任务均在 O*NET 31.0 任务列表中。
- 来源
- OpenAI "GPTs are GPTs" exposure rubric
- 版本
- gh-main-0471612
- 许可
- MIT License, Copyright (c) 2024 OpenAI
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Break systems into their component parts, assign numerical values to each component, and examine the mathematical relationships between them.15-2031.00 | 0.329445.6 |
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.15-2031.00 | 0.119116.5 |
Analyze information obtained from management to conceptualize and define operational problems.15-2031.00 | 0.07019.7 |
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.15-2031.00 | 0.05818.0 |
Prepare management reports defining and evaluating problems and recommending solutions.15-2031.00 | 0.05818.0 |
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.15-2031.00 | 0.03174.4 |
Define data requirements and gather and validate information, applying judgment and statistical tests.15-2031.00 | 0.02934.1 |
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.15-2031.00 | 0.01321.8 |
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.15-2031.00 | 0.01061.5 |
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.15-2031.00 | 0.00340.5 |
| Not observed on any surface — 4 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Perform validation and testing of models to ensure adequacy and reformulate models as necessary. | —0 |
Specify manipulative or computational methods to be applied to models. | —0 |
Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources. | —0 |
Develop and apply time and cost networks to plan, control, and review large projects. | —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 (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.O*NET Task ID 7377 | 1.0 |
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.O*NET Task ID 7385 | 1.0 |
Specify manipulative or computational methods to be applied to models.O*NET Task ID 7386 | 1.0 |
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.O*NET Task ID 7388 | 1.0 |
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.O*NET Task ID 7378 | 0.5 |
Analyze information obtained from management to conceptualize and define operational problems.O*NET Task ID 7379 | 0.5 |
Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.O*NET Task ID 7380 | 0.5 |
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.O*NET Task ID 7381 | 0.5 |
Define data requirements, and gather and validate information, applying judgment and statistical tests.O*NET Task ID 7382 | 0.5 |
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.O*NET Task ID 7383 | 0.5 |
Prepare management reports defining and evaluating problems and recommending solutions.O*NET Task ID 7384 | 0.5 |
Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.O*NET Task ID 7387 | 0.5 |
Develop and apply time and cost networks to plan, control, and review large projects.O*NET Task ID 7389 | 0.5 |
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.O*NET Task ID 7390 | 0.5 |
Present the results of mathematical modeling and data analysis to management or other end users.O*NET Task ID 20952 | 0.5 |
Educate staff in the use of mathematical models.O*NET Task ID 20953 | 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
O*NET 31.0 全部任务(17 项)
本职业在 O*NET 31.0 中的全部任务(英文原文;任务类型为核心或补充)。暴露值不列在此清单中,而在上方表格里,位于各来源所用 O*NET 版本的任务表述旁。
| 任务(O*NET 31.0) | 类型 |
|---|---|
| Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters. | 核心 |
| Collaborate with others in the organization to ensure successful implementation of chosen problem solutions. | 核心 |
| Analyze information obtained from management to conceptualize and define operational problems. | 核心 |
| Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary. | 核心 |
| Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives. | 核心 |
| Define data requirements, and gather and validate information, applying judgment and statistical tests. | 核心 |
| Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. | 核心 |
| Prepare management reports defining and evaluating problems and recommending solutions. | 核心 |
| Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them. | 核心 |
| Specify manipulative or computational methods to be applied to models. | 核心 |
| Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources. | 核心 |
| Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data. | 核心 |
| Develop and apply time and cost networks to plan, control, and review large projects. | 核心 |
| Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules. | 核心 |
| Present the results of mathematical modeling and data analysis to management or other end users. | 核心 |
| Educate staff in the use of mathematical models. | 核心 |
| Review research literature. | 核心 |
0.00/ 3· 机器人暴露指数
尺度 · 母数 · 来源
对每项体力任务,按已实际部署、销售或演示的机器人能够完成它的环境评定 0–3 级(0 不可 · 1 围栏式机器单元、灌装线等机器人专用设施 · 2 医院药房、集装箱港口等受管理的设施 · 3 私人住宅、建筑工地等非结构化环境),再按工作时间占比求平均
以该职业 O*NET 29.3 任务中的体力任务为准
等级与时间占比由 Anthropic 使用 Claude Opus 5(网络搜索)估算(截至 2026 年)。
机器人暴露指数与本站的 AI 暴露度是不同的指标,不能相加或相互比较。该指数不代表实际采用情况或成本竞争力,0 也包括没有体力任务的职业。
每项体力任务的等级
该职业的 O*NET 29.3 任务中没有被归类为体力任务的任务。
职业信息
就业展望(BLS)
- 就业人数,2025
- 113K
- 预计就业人数,2035
- 127K
- 变化 (2025–35)
- +11.9%
- 年薪中位数,2025
- $88,940
- 入职通常所需学历
- Bachelor's degree
韩国职业分类关联(KSCO)
来自 AI Changing Work 制作的 Korea Occupation Direct Crosswalk v1.1 当前版本的关联。关系值从 O*NET-SOC 职业一侧解读。
| KSCO 代码 | KSCO 名称 | 关系 | 状态 |
|---|---|---|---|
| 21123 | 수학 및 통계학 연구원 | 相关,但不对应 | 已确认 |
关系与状态的定义(kr-direct v1.1)
国际劳工组织(ILO)职业说明
以下 ISCO-08 职业组由 AI Changing Work 原样套用美国劳工统计局(BLS)发布的对照表(2018 SOC→2010 SOC、2010 SOC→ISCO-08)、不逐案取舍,与本职业相关联;每项关联可能是完全对应,也可能是部分对应。
- ISCO-08 2120Mathematicians, Actuaries and Statisticians
数学家、精算师和统计学家
自行翻译
自行翻译 · 非 ISCO 官方词汇 — 未经国际劳工组织审核。
以下定义、任务和职业示例是 ILO 对该 ISCO-08 职业组的描述,而不是对本职业的描述。
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.
任务
- (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.
职业示例
Actuary · Demographer · Mathematician · Operations research analyst · Statistician
Sources: ILO ISCO-08 — details: Credits
ESCO 职业词汇
以下每一项都是在已公开的ESCO-O*NET Crosswalk(第 1 版,2022 年)中与本职业逐项对应的。对应类型出自该对照表;表述出自 AI Changing Work。
- business intelligence managerESCO 2421.3有重叠,但不相同
Business intelligence managers gain knowledge of the industry, the innovative processes therein, and contrast them with the operations of the company in order to improve them. They focus their analysis in the supply chain processes, warehouses, storage, and sales as to facilitate communication and revenue improvement.
- logistics analystESCO 2141.6有重叠,但不相同
Logistics analysts streamline product manufacturing, transportation, storage and distribution. They assess production and supply chain problems to determine economically efficient solutions. They assists company managers in decision-making processes and direct programs designed to provide subcontractors, managers and customers with logistic technology.
- logistics engineerESCO 2149.2.6有重叠,但不相同
Logistics engineers design and implement systems aimed to optimise the time and efforts invested in transportation activities. They ensure that systems allow for micro-tracking and smooth communication across transport methods and stages.
- occupational analystESCO 2423.5有重叠,但不相同
Occupational analysts collect and analyse occupational information within one field or company in order to make recommendations for reducing costs and general business improvements. They provide technical assistance to employers in dealing with problematic staff recruitment and development and with staff restructuring. Occupational analysts study and write job descriptions and prepare occupational classification systems.
来源: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
许可: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
法国职业分类关联(ROME)
本职业与 ROME 4.0 职业条目(fiche)之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。标为「暂定」的关联仅凭同一模型系列(Claude)两位判定者的判定采纳,或对其判定适用运营方规则后采纳,因此其依据弱于已确认的关联。
| ROME 代码 | ROME 名称(法语) | 关系 |
|---|---|---|
| G1302 | Yield manager | 相关,但不对应 |
| K2408 | Mathématicien / Mathématicienne | 相关,但不对应 |
| M1405 | Data scientist | 相关,但不对应 |
| M1414 | Ingénieur statisticien / Ingénieure statisticienne | 相关,但不对应 |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
西班牙职业分类关联(CNO-11)
本职业与 CNO-11 职业之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。
| CNO-11 代码 | CNO-11 名称(西班牙语) | 关系 |
|---|---|---|
| 2415 | Matemáticos y actuarios | 本职业范围更窄暂定 |
| 2621 | Analistas de gestión y organización | 相关,但不对应 |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
德国职业分类关联(KldB)
本职业与 KldB 职业之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。
| KldB 代码 | KldB 名称(德语) | 关系 |
|---|---|---|
| 41184 | Berufe in der Mathematik (sonstige spezifische Tätigkeitsangabe) - hoch komplexe Tätigkeiten | 有重叠,但不相同 |
| 71314 | Berufe in der Unternehmensorganisation und -planung - hoch komplexe Tätigkeiten | 相关,但不对应 |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
日本职业分类关联(JSCO)
本职业与 JSCO 职业之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。
| JSCO 代码 | JSCO 名称(日语) | 关系 |
|---|---|---|
| 189 | その他の経営・金融・保険専門職業従事者 | 相关,但不对应 |
| 253 | 企画事務員 | 相关,但不对应 |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
本页数据的来源与许可,以及 AI Changing Work 的修改与翻译说明:致谢与来源