Statisticians

Computer and Mathematical Occupations
O*NET-SOC 代码
15-2041.00

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

  • 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

    来源数据集（XLSX 文件下载）

  • 数据来源: Anthropic发布时间: 2026-03

    0.211

    0.000此处所载数值的范围0.745

    职业群单位数值

    尺度 · 母数 · 来源

    观测暴露度指数，按发布原值0–1

    以O*NET任务映射为基准

    按 SOC 2018 职业发布的数值；具有相同 SOC 2018 代码的所有 O*NET 职业均显示此值

    来源数据集（CSV 文件下载）

  • 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

    来源数据集（PDF 文件下载）

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 19 项 · β ≥ 0.5 的任务 19 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 %
Evaluate sources of information to determine any limitations in terms of reliability or usability.

15-2041.00

0.162523.8
Identify relationships and trends in data, as well as any factors that could affect the results of research.

15-2041.00

0.098914.5
Report results of statistical analyses, including information in the form of graphs, charts, and tables.

15-2041.00

0.075711.1
Process large amounts of data for statistical modeling and graphic analysis, using computers.

15-2041.00

0.073210.7
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.

15-2041.00

0.06799.9
Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.

15-2041.00

0.05888.6
Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.

15-2041.00

0.05137.5
Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.

15-2041.00

0.04346.4
Report results of statistical analyses in peer-reviewed papers and technical manuals.

15-2041.00

0.02012.9
Develop software applications or programming to use for statistical modeling and graphic analysis.

15-2041.00

0.01281.9
Present statistical and nonstatistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students.

15-2041.00

0.01131.7
Develop and test experimental designs, sampling techniques, and analytical methods.

15-2041.00

0.00480.7
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.

15-2041.00

0.00210.3
Not observed on any surface — 5 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.
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
—0
Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
—0
Supervise and provide instructions for workers collecting and tabulating data.
—0
Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
—0
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
—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（19 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
Report results of statistical analyses, including information in the form of graphs, charts, and tables.核心
Process large amounts of data for statistical modeling and graphic analysis, using computers.核心
Identify relationships and trends in data, as well as any factors that could affect the results of research.核心
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.核心
Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.核心
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.核心
Evaluate sources of information to determine any limitations, in terms of reliability or usability.核心
Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.核心
Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.核心
Supervise and provide instructions for workers collecting and tabulating data.核心
Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.核心
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.核心
Develop and test experimental designs, sampling techniques, and analytical methods.核心
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.核心
Report results of statistical analyses in peer-reviewed papers and technical manuals.核心
Develop software applications or programming for statistical modeling and graphic analysis.核心
Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.核心
Determine whether statistical methods are appropriate, based on user needs or research questions of interest.核心
Prepare and structure data warehouses for storing data.补充

职业信息

就业展望（BLS）

这些数值属于整个 SOC 15-2041 组（Statisticians），并非仅属于该 O*NET 职业。

就业人数，2025
31K
预计就业人数，2035
35K
变化 (2025–35)
+11%
年薪中位数，2025
$105,650
入职通常所需学历
Master's degree
最低 $30,890BLS EP 2025–35 中 825 个细分职业的工资中位数范围最高 $559,030

来源: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

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
21123수학 및 통계학 연구원本职业范围更窄已确认

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。

  • statisticianESCO 2120.6范围相同

    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本职业范围更宽

    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.

  • data scientistESCO 2511.3有重叠，但不相同

    Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

  • statistical assistantESCO 3314.2有重叠，但不相同

    Statistical assistants collect data and use statistical formulas to execute statistical studies and create reports. They create charts, graphs and surveys.

来源: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

许可: CC BY 4.0 (EU Reuse Notice)

查看原文

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
M1414Ingénieur statisticien / Ingénieure statisticienne范围相同暂定
K2403Biostatisticien / Biostatisticienne本职业范围更宽暂定
M1403Chargé / Chargée d'études socio-économiques有重叠，但不相同暂定

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
2416Estadísticos范围相同

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
41114Berufe in der Statistik - hoch komplexe Tätigkeiten范围相同

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
051自然科学系研究者相关，但不对应
052人文・社会科学系等研究者相关，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