Statisticians

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Lower estimated automation risk

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Why it fits

Uses statistics expertise to teach inference, probability, modeling, software, and applied analysis.

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Occupation snapshot

What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
6.2/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

Risk & user votes

Calculated automation risk

22% (Low Risk)

Low Risk (21-40%): This occupation has a lower risk of full replacement by AI, software, or robotic systems. Some tasks may be automated or assisted, but the role usually still relies on human judgement, communication, responsibility, physical adaptability, or practical decision-making.

More information on what this score is, and how it is calculated is available here.

Human strengths important in this job

These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.

Thinking creatively

Very important
Why this matters
Coming up with original ideas and designs—creating new concepts, products, systems, or artistic work. This kind of open-ended invention and taste-based judgment is harder to automate end-to-end than routine, rule-based tasks.
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Decision-making and problem solving

Very important
Why this matters
Analyze information, weigh tradeoffs, and choose the best solution—especially when situations are ambiguous, high-stakes, or have real-world consequences.
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Consulting and advising others

Very important
Why this matters
Provide guidance and expert advice to managers or teams on technical, system, or process decisions—explaining options, tradeoffs, and recommended actions.
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Coordinating others’ work

Quite important
Why this matters
Bringing people together, assigning tasks, and keeping a group aligned so work gets done.
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Communicating with people outside the organization

Quite important
Why this matters
Represents the organization to customers, the public, or government—handling questions, concerns, and relationship-building through conversations, writing, calls, or email.
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Show 1 more strength

Active learning

Quite important
Why this matters
Keeps learning from new information and applying it to make better decisions now and in the future, especially when situations change.
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What users think

Based on 533 votes

44% chance of full automation within the next two decades

Our visitors have voted they are unsure if this occupation will be automated. However, employees may be able to find reassurance in the automated risk level we have generated, which shows 22% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Statisticians will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

Based on user votes over time

View sentiment trend

How opinions have changed over time

Pay & outlook

Wages

Very high paid relative to other professions

In 2024, the median annual wage for Statisticians was $103,300 ($50 per hour).

The median annual wage for Statisticians was 108.7% higher than the national median annual wage, which stood at $49,500.

View wage trend

Wages over time

* Data from the Bureau of Labor Statistics

Growth

Very fast growth relative to other professions

The number of 'Statisticians' job openings is expected to rise 8.5% by 2034

View employment trend

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Volume

Lower range of job opportunities compared to other professions

As of 2024 there were 29,800 people employed as 'Statisticians' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 5 thousand people are employed as 'Statisticians'.

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What people are saying (13)

Leave a comment
Ivan (Low)
05 Nov 2024 06:28
Current AI doesn't know how to apply accurately a statisti al analysis. They have a general idea but the application itself Is completely wrong most of the time
Izzy
26 Feb 2026 18:07
I feel like the automation risk is associated with the type of statistician you are. I worked for one in college who a bot trained on his data could definitely replace. There are others I've seen where I think AI would have a harder time, particularly in industries where AI is going to rock their development as well, such as in insurance, energy, etc.
Izzy (Uncertain)
26 Feb 2026 17:54
I feel like the specific work is important to consider. For instance, if you work in something plug and chug like biostatistics, I could see that being automated very easily. If you're involved in constantly changing markets though, such as energy production, I could see that continuing to be harder to replace because it requires some more human judgement and understanding of how certain things benefit or harm human beyond just costs and physical risks.
Mateus
18 Feb 2026 10:01
I tried letting it perform some analyses on some datasets I have access to. I gave it some basic instructions and allowed it ask me questions if it had any. In all cases, the end result was disappointment. Contrary to popular belief, statistics is not about mindlessly running regressions, but on judgement. And if there is one thing AI lacks it is judgement.
Y
15 Mar 2020 03:14
Statistics requires a lot of reasoning which could not be done by a robot.
JG
21 Jun 2021 04:18
Yes I completely agree with you. Statistics is not only about numbers, a large part of statistics is the interpretation of data and then drawing a conclusion based on that data. Which can not be done by robots
Cow Extraordinaire
07 Feb 2024 00:12
>For now
RK
05 Jan 2024 00:10
you still have to understand what statistics mean and the context of use, in addition to interpreting the math and the underlying bias in experimental design, data, assumptions etc... , that is sometimes more a gut feeling and instinct coupled with out of the box thinking.
Liop (Moderate)
14 Apr 2021 20:11
https://en.wikipedia.org/wiki/Automated_machine_learning
Anna (Moderate)
21 Feb 2020 16:18
Computers are getting more advanced. Already, there are programs that just take the numbers a person puts in and puts it into a graph, calculates all the things needed for you. All someone has to do is develop a system that finds the information itself, which is not impossible. It is not even improbable with today's technology. It is coming.
Thom
09 Nov 2021 18:02
I think you're oversimplifying the job. Generating graphs and summarizing data are things I do, but they're not what they pay me for. AutoML does make me a bit nervous and sometimes gives remarkable results with little effort, but I think competitive pressure is going to keep humans (who know what they're doing and how to leverage the new tools) in the loop for a while yet.
D (Moderate)
01 Jun 2024 19:33
It uses a lot of math, and robots are good at math
Kevin Samik Yanque Amable (Highly likely)
10 Oct 2023 23:42
Chat GPT4 has a statistical analysis.
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Job description

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.

O*NET-SOC code: 15-2041.00