Statistician vs Data Scientist — and Two Jobs With No BLS Code

By Mitchell Miller · ~4 min read · labor data / applied statistics

TL;DR

• Data scientist employment is projected to grow 35% from 2025–2035 — more than 3x statisticians' 11%. (BLS Occupational Outlook Handbook, 2025 edition)
• Data scientists out-earn statisticians by $14,600 a year at the national median ($120,230 vs $105,650) — but that flips inside computer systems design: statisticians $167,180, data scientists $132,380 (same two BLS Occupational Outlook Handbook pages, industry pay tables).
• Growth engineer and AI engineer have no BLS occupation code at all — no SOC classification, no wage survey, no growth projection — even though AI engineer out-posts every other title on every job board checked. (BLS SOC lookup guidance)

The gap in the data

Statistician and data scientist each carry a BLS SOC code, an annual OEWS wage table and an Occupational Outlook Handbook page. Growth engineer and AI engineer carry neither — no code, no wage survey, no official growth projection exists for either title, confirmed against BLS's own SOC-lookup guidance. That's not a gap in this research; it's a gap in the federal government's occupational taxonomy. The map above shows it: both titles are dashed side paths that end at a "no BLS code" signpost, while statistician and data scientist run through all five stops. Click a stop on either road to jump to its section.

What each role pays

Data scientists earn $120,230 a year at the national median against statisticians' $105,650 (BLS Occupational Outlook Handbook, 2025). But "the" data-scientist salary depends on which 2025 survey you read: Stack Overflow's global sample says $82,910; a US-only re-cut of that dataset says $160,000; BLS lands between. (2025 Stack Overflow Developer Survey) None of those is wrong — different scopes, not different facts, and averaging them would hide that. Growth engineer has no compensation survey tracking the title directly at all.

Who's growing faster

Data scientist employment is projected to grow 35% from 2025 to 2035; statistician, 11%. (BLS Employment Projections) Growth engineer and AI engineer have no projection to cite — the closest BLS-tracked cousin to "AI engineer," Computer and Information Research Scientists, is projected at 22%, and it is explicitly a proxy, not a measurement of AI engineer itself.

The education gate

62% of statisticians hold a master's degree as their highest credential; data scientists split 48% bachelor's and 44% master's — a materially lower graduate bar. (O*NET OnLine) Neither growth engineer nor AI engineer has an O*NET occupational profile to pull an education distribution from.

Prove why, or predict what's next

Underneath the pay and growth numbers is a practice difference that explains most of the rest. A statistician's work is inference: design the study, quantify the uncertainty, defend the result under scrutiny — usually against data someone else already curated. A data scientist's work is prediction: build and ship a model optimized for forecast accuracy, usually after cleaning the messy data themselves. (Yardstick) One is hypothesis-driven; the other, exploratory. (Indeed Career Advice) Prove why the number moved, or predict what moves it next — that split, more than the job titles, is what the pay and growth gaps above are actually pricing.

How to read these numbers

Two BLS products disagree on purpose, not by error. Occupational Outlook Handbook employment counts run 5–8% higher than the raw OEWS survey estimate for the same occupation-year — OOH's Employment Projections program adjusts the OEWS number rather than repeating it, so both are legitimate. Survey pay figures carry the same caveat at a larger scale: a self-reported developer survey, a US-only cut of it, and a government wage census measure overlapping but different populations — why data-scientist pay above spans $82,910 to $160,000 before BLS's figure even enters the range. The artifact's sources drawer labels every number with its specific product and date rather than blending them into one line.

FAQ

Is a data scientist the same as a statistician?

No. Statisticians work hypothesis-driven inference on curated data; data scientists work exploratory prediction on data they usually clean themselves, per BLS occupational data and Indeed/Yardstick's role comparisons.

Which pays more, statistician or data scientist?

Data scientist, at the national median ($120,230 vs $105,650) — but statistician pays more specifically inside computer systems design ($167,180 vs $132,380, same two BLS Occupational Outlook Handbook pages' industry tables).

Do growth engineer and AI engineer have official job classifications?

No. Neither has a BLS SOC occupation code, wage table or growth projection; job-board volume and practitioner surveys are the only available signal for either title.

Sources

• BLS Occupational Outlook Handbook — Statisticians/Mathematicians · Data Scientists · Computer and Information Research Scientists — 2025 edition, modified 2026-08-27
• BLS Occupational Employment and Wage Statistics, Table 1 — news release USDL-26-0725, May 2025
• O*NET OnLine — Statisticians 15-2041.00 · Data Scientists 15-2051.00
• BLS SOC-code lookup guidance — no SOC code for growth engineer or AI engineer
• 2025 Stack Overflow Developer Survey · US-only re-cut, techrecruiting.io (secondary analysis)
• Data Scientist vs. Statistician, Indeed Career Advice · Yardstick role comparison
• Job-board snapshots, live 2026-09-14: Indeed · Built In · Wellfound

Share this with someone choosing between a statistics track and a data-science track — or writing the job description for either.