You do math
this post was submitted on 16 Dec 2025
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I assume you mean ppl who literally have "mathematician" as a job title? A few I could think of...
- I'd guess most likely as an academic researcher. There are academics in just about any field you could imagine, a lot of which are even more abstract/"useless" than advanced math. Not a traditional "job" in the sense that academics don't directly add value to the economy... but are paid to do research that hopefully other people can add value based on. Downside is that these job openings are insanely competitive especially for the aforementioned "less useful" fields, because they are based on an organization having spare money to support research...
- As a cybersecurity researcher maybe? A lot of modern-day cybersecurity (the original "crypto", before it became associated with bitcoin) are based on advanced math, so I'd imagine such expertise is still needed
- Somewhere in finance maybe? A lot of modern-day finance are built on data science/statistics, although I suppose this job fits statisticians better...
It's similar to how there are witches on Etsy that you can buy spells from. A customer goes on Etsy and pays a mathematician to do a love sum, or a death calculation, or a good luck multiplication.
Whats the going rate for good luck multiplications nowadays?
To tell you that, I'd need to a "describe number" ritual which is $30
Do you take nfts as payment?
Gift cards only I'm afraid
Depends on which kind of mathematician you ask for, can he utilize said math in engineering, for example, or does he only know pure math?
Well basically, people pay you to do math.
Hope that helped
Data analysis, data science, teaching, statistician, coding, finance and stocks
Finance, there's a whole lot of arcane statistics underlying risk management.
Tech, the bleeding edge of computer science is really just applied math.
I thought applied math was just buying a silly amount of apples...
No, that is appled math.
Sauce?
angry updoot >:c
I'm pretty sure your job title isn't "Mathematician" though. You're a "risk analyst" or "quantitative analyst" or something. You're also not doing pure math, you're using somewhat advanced applied mathematical processes to model financial information. Just like how a rocket engineer isn't a physicist but may have a background in physics.
I had a math teacher once tell a joke:
What's the difference between a mathematician and a large pizza?
A large pizza can feed a family of 4.
Although he was a teacher, so he was making alright money I think. But he also looked like Billy Corgan and was a ninja (well at least some degree of black belt).
Maths is the cornerstone of engineering and science. It's probably one of the most versatile skills. Add physics and you have a control/electrical engineer. Add computer science and you have a programmer. Add economics and you have an equity trader. Maths alone has huge scope in research.
Earning my ways with programming almost anything on anything for 40 years, let me tell you that a) I've never needed anything I learned in my universities math courses, and b) mathematicians make horrible programmers because they might know the theory, but often lack on the real programming side.
I call bullshit.
If you were coding in the 80's i have hard time beliving you did not use math in Pascal or COBOL. And i remember needing lots of math with anything 3d in 2000
Also you cant state all mathematicians make horrible programmers because they often lack the "real programming side". Its not a boolean. They might be bad coders because they are bad at coding, not because they are mathematics. Its like saying all painters are bad writers. Both coding and math have a lot of overlapping qualitities and people who understand other have easier time learning other, but it does not mean they are inherently good or bad in the other one.
I've never needed anything I learned in my universities math courses
You've been inverting matrices left and right. You just didn't realise.
Add computer science and you have a programmer.
I mean, while this definitely does happen in reality, in particular if you count data scientists towards programmers, I feel like I need to point out that neither knowing computer science, nor maths, makes you a good programmer.
In fact, if you tell me someone is a computer science professor, I will assume that they are a bad programmer, because programming takes practice, which is not something they'll have time for.
- Teaching
- Research jobs
- Tech
- Wall Street shit
- Accounting
- Loss protection such as fraud prevention or forensic accountiing
- Sell dime bags outside your local convenience store
- stripping
- painting houses
- carpentry
- day laborer's
- pouring concrete.
You work somewhere that can afford to pay you. Physics labs helping research. Universities doing theoretical work. Or you teach.
Those are pretty much it.
Im an electrician so dont expect more insight from me
Or software development. Math majors tend to make good programmers.
What does a mathematician do?
My guess would be maths.
Yes, of course. But what math? For who? In what setting?
Pure mathematicians often answer questions that really only other pure mathematicians care about, but occasionally their results or techniques have relevance in other fields, so universities will pay them to work on this stuff and publish papers. Usually part of the job is applying for grants to fund your research and teaching students.
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I very briefly had a job as a mathematician for a company that certifies pokies (slot machines). I was technically also a software dev, but my job mainly consisted of calculating the theoretical average returns for each machine, writing basic code to simulate the machine for millions of games and then making sure those two numbers matched. I'd pass that on to a physical testing team who hack them to run real games.
It was a horrible fucking job and I got out basically a month after I finished my training. All we did was prove the machines were exactly as profitable as allowed in whatever location they were going to be deployed at...
Now I work as a regular software developer and it's also a horrible job.
So... How profitable were they?
It depends on the region, we were certifying globally. I don't remember the numbers that well, it was years ago and I only did a few months there, but I think it's something like a 98% return for the player, so if you put $1 in, you get 0.98¢ back on average.
Did you also calculate the variances, or just the means?
I've had two software developer coworkers with math degrees
They make good actuaries and my cousin with a math PHD designs efficient packaging which is apparently really fucking hard to do, way more complex than you'd expect
I don't know a lot about other fields but stat people are hired a lot by research institutions. A good statistician can reduce the number of experiments you need to do, being able to test a drug/treatment with 7 people instead of 100 means a lot. They save a lot of money.
Also being able to make inference from past data, incomplete data, use correct math (there is always different ways to solve things) so they don't make mistakes.
And a lot of people with stat degree join either academia, or other fields that have actual problems and use their background to solve issues.
I am not a mathematician, but sometimes I get accused of being one; so given that no real mathematician have answered, I guess I can give it a shot.
Mathematician are in charge of building mathematical tools that are used by physicists, computer scientists, and many other subjects, including artist.
Why is math useful: mathematics are used in social science, physics, computer science and many other subject. Take a simple example from computer science: everyone is very excited about quantum computing, but what questions can be answered faster by a quantum computer than a classical computer? This is both a computer science question and also a math question. Many mathematicians are working on problem like these.
What is the difference between mathematican, computer scientists, physicist, and so on: although people from other subject also use advanced mathematical tools and work on similar questions as mathematicians (I guess why I was accused of being a mathematician), the difference is in their approach. Typically, for non-mathematicians (like me), proofs and math tools are means to an end. We often want to prove a very concrete problem (like are two reasonable ways to define the meaning of a program are equivalent), and usually we prefer the proof the takes the least amount of effort to get to the conclusion. Whereas mathematician often makes connection between different approaches, generalize, and just explore things that they feel is interesting. The mathematical approach often is slower but also gives deeper understandings: although it is common for many of their insights to be lost through time, it is also quite often for these exploration leading to important breakthrough in other fields.
What is the life of a mathematician like: like every other academic: teaching, research, writing grant to feed yourself, and sometimes traveling to discuss ideas and start new projects. I imagine OP is most interested in is mathematical research. I feel the most apt analogy is the creation of art: for an artist, they usually have a emotion trying to express, either something they see or feel. Then they do a couple sketch, see what detail/style works in expressing their ideas and what doesn't, then paint the painting. For mathematicians, they often have a question in mind, then they try some examples to see what steps closer to their goal and what leads to dead ends. Through these excersices they gain a intuition of what conditions are important for the desired conclusions, then they pain the full painting by finishing the proof.
These proofs can be exceptionally time consuming: even for computer scientists, they can easily take couple researcher a year of work to do a proof. Most of the sketches will be thrown away, either because they are too convoluted or because they don't lead to the correct conclusion. Usually, a proof by computer scientists like me can easily take 20-30 pages to explain properly, if not more; and the proof that were thrown away can double that quantity. I can only imagine proofs for mathematicians will be even more energy consuming.
Have you been accused of being an LLM?
Ha, because I bold stuff. Yeah that does look a bit like LLM on retrospect.
But you can see these are not AI generated, because they like repeating trivial conclusions reached in previous paragraphs, which I hope I didn't do. :)
Also grammar mistake is another giveaway.
That's exactly what an LLM pretending to be a human would say ;)
The analytical skills needed for an advanced math degree are transferable to wide variety of jobs. The tech companies I worked for actively sought out people with those skills, mostly for jobs that didn't require high level math.
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Surprised no one has mentioned jobs like the NSA. They're thought to be the largest single employer of mathematicians.
A friend of mine works for a baseball team as a statistician making incredible amounts of money.
My maths teacher back in the late 90s had his little side job doing Cricket stats. He always described it that way. Imagine my surprise when he came clean one day and mentioned he made more money from 8 hours a week doing Cricket stats than he did from 40+ hours a week teaching. He "jokingly" asked if I had made my first million a year after I graduated, mentioned it to my mum and she told me he had turned a $100k inheritance into his first million 2 years later thanks to buying some property in the path of a resort 6 months before planning application was submitted at age 18.
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