As of June 2026, Data Scientist has an AI-exposure score of 56/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Data Scientist

56/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 50% of the roles we track. Median pay ~US$108,020.

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How this role compares to similar Technology roles

Data Scientist (this role)
56
Software Developer
57
Cloud Engineer
57
UX Designer
55
Statistician
57
DevOps Engineer
57
See all roles by exposure →
Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 title match

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Common titles
Data Scientist
Typical preparation
Considerable Preparation Needed: Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be...
Skills and knowledge
MLStatisticsProgramming
Tools and technology
Amazon Web Services AWS softwareApache HadoopApache SparkCC++Docker

Source: O*NET 29.1 title match - Data Scientists, SOC 15-2051.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Data Scientist tasks, by AI exposure

Automatable

No automatable tasks identified for this role — its real, individually-assessed tasks consistently read as augmentable (75%).

Augmentable
  • Build and evaluate models
  • Engineer features from data
13 more augmentable tasks locked in the report.
Durable
  • Frame business problems
  • Design surveys, opinion polls, or other instruments to collect data.
3 more durable tasks locked in the report.

We analyzed all 20 Data Scientist tasks — 15 augmentable and 5 durable. The full task map — every task with exactly what to do about each — is in your Career Report.

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Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

See a full sample report →

Safer adjacent roles

Data Analyst
82% skills overlap · Elevated exposure · ~US$83,640
59
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Build and evaluate models". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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