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Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

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You are reading as:I have a jobI am studyingI run a companyI am building something
On this pageHow it connectsIn the official classificationWhat O*NET rates highestEach task in O*NET's termsTasks O*NET proposes to addRules that bind this workOur task judgementsSources and rules
Occupations›Data scientist›Ontology

Data scientist — skills, knowledge and links

Where this job sits in the official classifications, what those classifications say it demands, and what it connects to. Every block names its source: our own judgements, the U.S. Department of Labor's O*NET, or the U.S. Department of Education.

How it connects#

Degrees that lead here
Computer scienceU.S. Dept. of Education
Data scientistO*NET 15-2051.00
Related occupations on this site (O*NET)
Quantitative analystO*NET 31.0Machine learning engineerO*NET 31.0AI researcherO*NET 31.0Data analystO*NET 31.0

O*NET also lists (no page here yet): Statisticians · Statistical Assistants · Operations Research Analysts · Bioinformatics Scientists · Bioinformatics Technicians · Mathematicians · Biostatisticians

In the official classification#

O*NET-SOC 15-2051.00 · O*NET 31.0

Data Scientists

Fit with this page: same job

Job Zone 4: considerable preparation

See it on O*NET OnLine ↗

In Europe, internationally and in Singapore

ESCO 2511.3 · ESCO

data scientist

Fit with this page: same job

See it in ESCO ↗
ISCO-08 2120 · ILO

Mathematicians, actuaries and statisticians

Fit with this page: closest match, not the same job

SSOC 2024 21222 · Singapore DOS

Data scientist

Fit with this page: same job

What O*NET rates highest#

From O*NET 15-2051.00 (Data Scientists). Ordered by O*NET's importance rating; the words are O*NET's own scale anchors.

Transferable skills

  1. Complex Problem SolvingVery important
  2. ProgrammingVery important
  3. Judgment and Decision MakingImportant
  4. Time ManagementImportant
  5. Social PerceptivenessImportant
  6. CoordinationImportant
  7. PersuasionImportant
  8. InstructingImportant

Knowledge

  1. MathematicsExtremely important
  2. Computers and ElectronicsVery important
  3. English LanguageImportant
  4. Engineering and TechnologyImportant
  5. Education and TrainingSomewhat important
  6. Communications and MediaSomewhat important

Work activities

  1. Analyzing Data or InformationExtremely important
  2. Working with ComputersExtremely important
  3. Processing InformationExtremely important
  4. Interpreting the Meaning of Information for OthersVery important
  5. Getting InformationVery important
  6. Making Decisions and Solving ProblemsVery important

Abilities

  1. Deductive ReasoningVery important
  2. Inductive ReasoningVery important
  3. Information OrderingVery important
  4. Mathematical ReasoningVery important
  5. Written ComprehensionVery important
  6. Written ExpressionVery important

Essential skills

  1. MathematicsVery important
  2. Critical ThinkingVery important
  3. Reading ComprehensionVery important
  4. SpeakingVery important
  5. Active LearningVery important

Each task in O*NET's terms#

O*NET describes work as detailed activities. Each of this page's 6 tasks is matched only against the activities O*NET lists for this occupation, with a stated fit; 5 match at least one. 1 are work O*NET does not describe yet. The alignment and its fit are this site's judgement, made task by task by its AI agent (Claude) on 2026-09-26; O*NET does not align tasks like ours. The activity names are O*NET's, the translations ours.

  • Framing the question and the metric
    Determine appropriate methods for data analysis.covers part of this task · Making Decisions and Solving Problems · O*NET 31.0The same activity in: Data analyst
  • Cleaning and exploring the data
    Prepare data for analysis.the closest O*NET has, not the same · Working with Computers · O*NET 31.0The same activity in: Data analyst · Machine learning engineer
    Analyze data to identify trends or relationships among variables.covers part of this task · Analyzing Data or Information · O*NET 31.0The same activity in: AI researcher · Actuary
  • Building and validating the model
    Develop scientific or mathematical models.the closest O*NET has, not the same · Thinking Creatively · O*NET 31.0The same activity in: Machine learning engineer
    Write computer programming code.covers part of this task · Working with Computers · O*NET 31.0The same activity in: Data analyst
  • Designing experiments and reading causes
    Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.the closest O*NET has, not the same · Analyzing Data or Information · O*NET 31.0
  • Explaining what it means, and what it does not
    Present research results to others.the closest O*NET has, not the same · Documenting/Recording Information · O*NET 31.0The same activity in: Data analyst
    Prepare graphics or other visual representations of information.covers part of this task · Thinking Creatively · O*NET 31.0The same activity in: Data analyst
  • Challenging and auditing modelsO*NET's activity lists do not describe this work yet. This site judges it to be emerging work.

Tasks O*NET proposes to add#

O*NET's analysts propose new or reworded task statements for future data collection, drawing on what surveyed workers write in, research into new technologies and professional associations. They are candidates, not yet part of the rated task list, and they say nothing about whether automation is involved. This site does not fold them into its own task judgements.

  • Interview stakeholders to identify questions or problems to address through data analysis.New task · 2026-08 · from occupational experts · O*NET 31.0

Rules that bind this work#

Laws, regulations, court rules, regulators' guidance and collective agreements that this page's verified records read — each with the verb that matters and whom it binds. Read from each record by this site's AI agent (Claude) on 2026-09-26. Official names stay in their own language.

New York State · regulation

Use of Automated Employment Decision Tools

§ 5-301, § 5-300 (independent auditor) · must not · binds an organisation (employer, deployer, operator) · requires a person to do, decide or answer for it → Challenging and auditing models

2023-04-06 · the record →
VOLO judgement
European Union · law

Regulation (EU) 2024/1689 (Artificial Intelligence Act)

Articles 10 and 14 · must · binds an organisation (employer, deployer, operator) · requires a person to do, decide or answer for it → Cleaning and exploring the data · Challenging and auditing models

2024-06-13 · the record →
VOLO judgement
United States · guidance

SR 26-2

should — best efforts or an expectation, not a hard duty · binds an organisation (employer, deployer, operator) · requires a person to do, decide or answer for it → Challenging and auditing models

2026-04-17 · the record →
VOLO judgement

Our task judgements#

O*NET says what this job demands. It does not say what automation is doing to it — that is what this site's 6 task judgements are for: 2 backed by a verified event, 4 platform inference. VOLO judgement

Every task, one by one →What they rest on →

Sources and rules#

  • Each block says where it comes from: this site's own judgements, O*NET, the U.S. Department of Education's CIP–SOC crosswalk, the European ESCO classification and its official crosswalk to O*NET, the ILO's ISCO-08, Singapore's SSOC 2024, or something computed mechanically from those. Nothing on this page is a rating we made up.
  • O*NET's importance ratings are used only to order and shorten the lists. They are never combined with this site's impact index or evidence counts.
  • The fit between our page and an O*NET occupation is our judgement and is stated per code: same job, broader, part of it, or only the closest there is.
  • The ESCO and ISCO-08 fits are derived mechanically from the official ESCO–O*NET crosswalk; where we override it, we say why in our data (for example, the crosswalk pairs radiologists with radiographers, which is a different job). The SSOC 2024 fit is our reading of the Singapore Department of Statistics' own titles and definitions. Official names are shown as their publishers write them; we do not translate them.
  • Each task is matched only against the detailed work activities O*NET lists for the codes this page maps to. Where nothing fits, the page says why instead of forcing a match: work O*NET does not describe yet (used only for tasks we judge to be emerging), or nothing in O*NET's list for this occupation. An alignment never changes a task's direction, its basis or the impact index.
  • Rules are read only from this site's verified records. A rule's official name must appear word for word in a record that reads it, so no name is made up; a policy mandate is read only as 'must', 'must not' or 'funds', because 'should' and 'in principle' are not a mandate. Reading a rule never changes a task's direction, its basis or the impact index.
  • How these pieces fit together — objects, links and the actions that change them — is drawn as one diagram: The VOLO ontology
  • ESCO (European Commission), occupation records from the ESCO API; CC BY 4.0. ESCO–O*NET crosswalk, ESCO Secretariat with the U.S. Department of Labor/ETA, version 1 (Sep 2022), O*NET-SOC 2019 ↔ ESCO v1.1.0; CC BY 4.0. Singapore Department of Statistics, Singapore Standard Occupational Classification 2024 and its correspondence with ISCO-08.
  • O*NET 31.0 Database, August 2026 release, U.S. Department of Labor/Employment and Training Administration, CC BY 4.0. O*NET® is a trademark of USDOL/ETA. The translations of O*NET descriptors on this page are ours, not O*NET's.
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