Data science

[Anonymous No.10878013]

Why is this the best job of the 21 century?
Literally 150k starting. All you have to do is learn some excel, along with some other techniques. You don't even need to know programming actually. And then you're ready to become the ultimate advisor. All because of the technological age. I Bet Cs majors are jealous

[Anonymous No.10878550]

>>10878013
What about a programmig language like Python or R?
And don't you have to know statistics?

[Anonymous No.10878568]

>>10878013
I get this is probably a troll, but good luck getting a DS job without an advanced degree or a shitload of experience in similar areas. You might be able to get an entry level data analyst job knowing excel, but that'll pay like 15 an hour.

[Anonymous No.10878635]

>>10878013
If I just wanted to do some boring ass pleb shit to make lots of money, I would have went into finance.

[Anonymous No.10878858]

>>10878635
Data scientists do science.

[Anonymous No.10878883]

>>10878858
No they do not

[Anonymous No.10878904]

>>10878635
>would have went
brainlet cope

[Anonymous No.10878906]

>>10878568
This, the entry standards are stupidly high

[Anonymous No.10878909]

>>10878013
This is exactly the attitude cs majors have at Uni, completely delusional

[Anonymous No.10879059]

>>10878883
It's called data SCIENCE

[Anonymous No.10879068]

>>10879059
It's also called the gay science

[Anonymous No.10879090]

>>10879068
no that was Nietzsche's book

[Anonymous No.10879093]

>>10878013
I am a CS guy and I know about all that shit.
You're getting that job without very mathy degree. All you did was mention the tools.

[Anonymous No.10879238]

>>10878858
They do pleb bullshit.

>>10878904
That doesn't make any sense.

[Anonymous No.10881032]

>>10878013
Most data scientists I know have PhDs in physics

[Anonymous No.10881036]

>>10881032
the absolute state of physics tards

[Anonymous No.10881881]

>>10881032
And why do they do that?

[Anonymous No.10881976]

>>10878013
Holy fuck my sides are in orbit

I am a researcher in computational materials science and have been to my fair share of data science conventions, as I use machine learning for clean-energy materials discovery. For data science, you need to know and understand at the VERY LEAST

>Python or R (maybe Java but you'll struggle)
>Multivariate Calculus
>Bayesian Statistics and Probability
>SQL for Big Data (not in my field)
>Jupyter Notebooks
>Basic feature engineering techniques
>General Supervised Learning techniques
>General Unsupervised Learning techniques
>Basic Data Visualization (plain R, or pandas / seaborn in Python)

You can get a decent job making ~$60k - $70k annually with some school and a data science certificate from, say, Flatiron or another bootcamp assuming you are networking too; however, for a truly juicy >$100k data science job, you should have a Master's or a PhD in STEM, preferably in Statistics, Mathematics, or Computer Science.

If you're just looking to develop your own skills for your field, you can work through all of the content on Kaggle and pick up some O'Reilly books on Machine Learning and Data Science.

[Anonymous No.10881987]

This thread is full of so much jealousy and cope lol.

t. lead data scientist with a BSME

[Anonymous No.10882140]

>>10881976
I want to stay in my field and become a data scientist.

[Anonymous No.10882143]

>>10878013
>Literally 150k starting.
That's blatantly false.
You'll struggle with unemployment unless you have connections. Most starting wants to pay fucking beans. I'm talking 30-40k in the US. Fuck that.

[Anonymous No.10882280]

>>10882140
I suggest looking into the computational side of whatever your field is (for example, if you are studying chemistry then start looking into computational chemistry). Wherever you are getting bottlenecks in your research and/or studies is where machine learning would be best applied.

https://www.kaggle.com/learn/overview
https://www.fast.ai
https://www.video.uni-erlangen.de/course/id/778

What is your field, and how exactly do you plan to use data science in it?

[Anonymous No.10882285]

>>10882280
I plan to do it in systems biology. But it seems this field is pretty much at the forefront of computing already. Most other fields aren't applying computing as biology is.

[Anonymous No.10882286]

>>10878906
>>10878568
I work in hedge funds so I know the international standards. Here are data science job applicants across NYC, HK, London. Entry level is COMPLETELY filled up by Oxbridge, Harvard, Princeton, MIT graduates. And they all have 'crazy-workaholic' resumes: 5+ internships, personal projects, STACKED github profiles etc.

[Anonymous No.10882289]

>>10878906
>>10878568
I work in hedge funds so I know the international standards (NYC, HK, London). Entry level is COMPLETELY filled up by Oxbridge, Harvard, Princeton, MIT graduates. And they all have 'crazy-workaholic' resumes: 5+ internships, personal projects, STACKED github profiles etc.

[Anonymous No.10882908]

>>10881032
>>10881881
The term "data scientist" was originally meant to describe failled physics PhDs who worked at silicon valley running regressions all day.

[Anonymous No.10883562]

>>10882289
There seems to be a lot of credentialism in finance, so that's expected

[Anonymous No.10883678]

Data science is reserved for elite uni people who have advanced degrees. Good luck getting a job

[Anonymous No.10883703]

>>10882289
Incoming analysts at Goldman aren't THAT stacked, but yeah you definitely see lots of the type you describe.

[Anonymous No.10883707]

>>10882908
lmao

[Anonymous No.10883709]

>>10883703
To doublepost, if I had to guess the average school IBs come from, it'd be Rutgers. Good, but not THAT good. And this is Goldman Sachs/JP Morgan-tier firms we're talking about.

Only crazy places like Jane St, DE Shaw, Rentech etc hire the way anon describes.

[Anonymous No.10883736]

It's a huge fad and already the majority of graduates are being shoehorned into analyst jobs. Pretty much all the research I've done plus professors (the few good ones I've had) agree

[Anonymous No.10883773]

>PhD in mathematics
>any job I want
>300k starting

[Anonymous No.10883784]

>>10883773
holy fucking basedola its true
after finishing my thesis i had about 10 different companies all over my emails asking me to name any starting salary
i accepted all the interviews but will just ghost them all lol

[Anonymous No.10883818]

I'm an engineer with a few data scientists on my team, I don't really envy their jobs. They build tools so people like me can interpret data more easily. They don't really get to exercise much creativity or judgement. I can see how some people may prefer that, but doesn't seem very appealing to me.

[Anonymous No.10883971]

>>10882289
Is Oxbridge even that good? Also, what are my odds as an American to get into a tier 5 school for mathematics?

[Anonymous No.10884004]

>>10883703
We're not talking about places like Goldman or JP Morgan. This is for quant funds like Two Sigma and Jane Street. They are looking for mathematicians and computer scientists.

[Anonymous No.10884009]

I know more about getting into data science than the stuff you study before getting into the stuff you study to get into data science, fuck.

[Anonymous No.10884010]

>>10883709
>Rentech
They hire from tenure track or very experienced people, not fresh PhDs. Also, I've notice the very best quant funds don't sponsor these conferences: https://nips.cc/Conferences/2018/Sponsors

All the companies are there except Rentech and (one or two other very discrete hedge funds).

[Anonymous No.10884034]

>>10883971
At least in my field, Oxbridge is god level for doing a PhD in Machine Learning, Bayesian or Statistical Learning Theory. Lots of mathematically rigorous, high impact works and famous people there. I would rate them a little higher level than top uni in US Stanford, Berkeley.

[Anonymous No.10884072]

>>10884009

[Anonymous No.10884485]

>>10884034
Oxbridge vs MIT/Harvard? Same subjects.

[Anonymous No.10884506]

>>10882143
/thread.

[Anonymous No.10884507]

>>10882143
Not bad at all. I just want to live.

[Anonymous No.10884579]

>>10881976
How hard do you think it would be to get into data science with a masters in psychology?

My work concerns MEG analysis, and I have experience in R, python, and matlab. I've also familiar with a lot of entry and mid-level statistical modeling. Do you think I could try and break into the field with just the degree, or would it be better to go back and get a masters in statistics or comp sci?

[Anonymous No.10884674]

>>10884579
You really should be fine, depending on what you want to do with Data Science. I imagine companies would love a Data Scientist with a Psychology background as consumer profiles (as in behavioural profiling) are extremely helpful for marketing purposes. Even if this isn't what you necessarily want to do in Data Science, this is what I see being your best entrance.

However, it would help to get a certificate in Data Science and/or Statistical Learning to add to your credibility (and knowledge).

[Anonymous No.10884734]

>>10884674
Certificate from an online course from a university or something?

[Anonymous No.10884742]

>>10881976
only that? and you get 60k?? fml

[Anonymous No.10884746]

>>10884507
30-40k, before tax, is terrible and hardly enough to live on unless you already own your own house. That's less than many SSDI recipients receive a month.

[Anonymous No.10884748]

>>10878013
Data science is the shit right now and has been for the past 15 years, but it's on the automation chopping block.

[Anonymous No.10884751]

>>10884746
That's actually enough money for me if I live with my parents forever which I probably will.

[Anonymous No.10884752]

>>10884748
It's closest to AI because serious data science involves machine learning, as long as you go for machine learning you'll have job security for the next 50 years. That's what my data science class professor said.

[Anonymous No.10885224]

>>10884034
Kek they are leq <= Stanford, maybe slightly better than Berkeley

[Anonymous No.10885677]

>>10884734
Yes. Usually you can find some through Google, IBM, or schools like UC Berkeley. Try looking through Udacity or Coursera too but be sure to thoroughly check the program before enrolling for its credibility. I personally went to Flatiron school in Houston.

[Anonymous No.10885933]

>>10885677
I was already doing this stuff. But then it all expired because I lost the motivation to get through it.

[Anonymous No.10887397]

>>10885677
How many did you get?

[Anonymous No.10887431]

>>10878568
>You might be able to get an entry level data analyst job knowing excel, but that'll pay like 15 an hour.
Yes, but there are more data analysts that transition to DS than PhDs in random engineering fields. And the transitions can happen as early as 3 years.

I couldn't find the link, but some guy wrote a scrapper bot and found _data_ on this by parsing lots of CVs and tracking careers with LinkedIn profiles etc.

Roughly 30% of DSs are PhDs, 40% Masters, 20% bachelors and 10% NO TERTIARY EDUCATION AT ALL.

I'm not saying it's easy to break into (it's not, getting that first DS job follows the same retarded recursive logic of needing experience for starting positions). But my point is you absolutely do not need an advanced degree, although having a CS degree will help your odds a lot.

However, if you have a CS/Engineering PhD you can probably make a lot more money in your own industry anyway. Silicon valley hires CS PhDs for 300-600k starting salaries. Uber hires machine learning experts for similar salaries.

[Anonymous No.10887435]

>>10881976
I'm also in computational materials science. What if I win one of those Kaggle competitions? Will I get hired into my sweet 150k job?

[Anonymous No.10887441]

>>10883736
>It's a huge fad and already the majority of graduates are being shoehorned into analyst jobs.
Does it matter? The field keeps growing. It's useful to get experience at a company and the exaggerate the engineering/development side of it for your later career.

Besides with the trade war no one is hiring in traditional industries at the moment.

[Anonymous No.10887449]

>>10884752
>as long as you go for machine learning you'll have job security for the next 50 years.

I don't think this is true, people are beginning to realise what ML really is (ie. spamming shitty linear models until you start approximating models that experts in the field had all along). Pattern/manifold learning is valuable, but these are close to being automated with cloud based tools.

It's applications should've stayed in NLP and image recognition. In the latter computational homology methods are vastly superior anyway.

[Anonymous No.10887455]

https://cloud.google.com/certification/data-engineer

What do we think about this /sci/? I know Google isn't going to hire us, but maybe we can trick some weaker companies into hiring us with this cert in addition to our PhDs?

I don't see myself failing this exam, I helped write scikit-learn.

[Anonymous No.10887545]

>>10881976
>tfw statistician with a DS master's

[Anonymous No.10887557]

>being industrial society's little helper
Data science is very amenable to robotization enjoy honeymoon

[Anonymous No.10887610]

>>10887545
do you have a job though?

[Anonymous No.10887656]

>>10887610
nah man I just shitpost on a taiwanese dog grooming forum

[Anonymous No.10888171]

>>10887397
I only took one certificate course, through Flatiron. However, I am a researcher in computational materials science and I am not fully transferring to data science. You may or may not need more.

[Anonymous No.10889517]

>>10888171
Okay. I might not need more because I want to be an owner not a worker so probably a few in management

>>10887455
It's good. Do it

[Anonymous No.10889530]

>>10889517
>It's good. Do it
Seems kind of limited though. How many companies actually uses Google's cloud platform? Also it expires after 2 years. I'd still prefer this over a general certification if only because you don't have to wait several weeks of classes to write it though.

[Anonymous No.10889576]

>>10887557
>not accelerating capitalism and making bank while at it

[Anonymous No.10889600]

>>10878013
>150k starting
no youre out of your mind.

DATA SCIENCE is a buzzword, and buzzwords exist to generate hype about something people otherwise dont like or dont give a shit about.

DATA SCIENCE! are mostly crock of shit jobs and the few legitimate ones are hyped up to be fun and exciting but it ultimately consists of "data cleansing" formatting for compatability, nagging some person to have them handover a bunch of records and so on.

Rest assured you will not be starting at 150k out of college. The only jobs i know of that come even close to that out of college are Petro Engineers and Big Law Hires. Doctors dont really because there residency is basically work and its paid terribly.

[Anonymous No.10889605]

>>10878013
>Literally 150k starting

California Highway Patrolmen make this, serious look it up. Thats right, they speed around on I-5 on a sick ass BMW sportbike and collect massive pay.

High School Principals make that

Water Brokers make that

A large number of real estate agents make that

If your looking just at pay, you will soon realize that the world of pay is completely fucked and bears very little relation to societal contribution. I would advise for your own personal health and development to throttle back the focus on pay and examine things like working conditions, location, tempermant, coworkers in the field and so on.

I had a really high paying job in the complete bullshit world of finance, i was a C F A, i wanted to die after a while it didn't matter that i made 100k plus. I literally did nothing (like all my coworkers) and just extracted money.

Other examples of how pay is messed
Look no further than the kardashians who became litteral billionaires after making videos sucking monkey cock.

Or Donald Trump who had made billions by putting his name on buildings with gold (politics aside the dude is a kardashian basically).

[Anonymous No.10889619]

Reminder that 4chan incels stay incels because they talk themselves out of every good opportunity.
>Women are scary!
>CS is a bubble!
>Data science is a scam!

[Anonymous No.10889640]

>>10889619
You might be too young to remember
>Nanoscience is a bubble!

A lot of students on /sci/ came back 3-5 years after the bubble burst and they were unemployable due to studying flagship meme degrees such as "Nano Engineering" and "Nano Science". Most of them were forced to leave STEM careers. Meanwhile traditional engineering disciplines went through a slump, but came back stronger.

So in general it is better for people in physics/engineering to try and make it in those careers first. Data science is a good fallback of course, but there are also better options such as software development etc. that aren't in a bubble.

[Anonymous No.10889663]

>>10889640
Nigger, I AM a data scientist. I left engineering because the job market is in the shitter. Engineering is dead.

[Anonymous No.10889668]

>>10889663
Did you misqoute me? I didn't say anything negative about datascience. I was talking about nano engie.

>I left engineering because the job market is in the shitter.
It hasn't been since 2016, the engineering job market is pretty good right now.

I also worked a data science job myself while it was bad. I think it's important to try to do that for technical companies though. It won't be long before data science is flooded, but then you could have a fallback to engineering by exaggerating your role in tech companies.

[Anonymous No.10889671]

>>10889668
>It hasn't been since 2016, the engineering job market is pretty good right now.
All my engineering friends are stuck working dead end jobs with bad pay, and their """engineering""" work can barely even be called engineering. Meanwhile I'm making twice as much as they are and actually using technical knowledge.

[Anonymous No.10889674]

>>10889671
Starting jobs for engineering always pays like shit. I agree with the principle of going where the money is. But IF data science crashes (it might not, in fact highly talented DS will be making bank for decades to come) then you also have a stablish fall back to engineering.

Have the best of both worlds.

[Anonymous No.10889698]

>>10889640
The nanoscience meme is like biotechnology. It's kind of too early to be in that field. However data science is an extension of CS and its just right.

[Anonymous No.10889700]

>>10889674
Nobody bets everything on data science what are you smoking.
Even the data science major is just a specialization within CS

[Anonymous No.10889704]

>>10889700
There are plenty of DS people without STEM degrees, they have no fallback if the DS bubble pops.

[Anonymous No.10889705]

>>10889704
Give me an example. Didn't know data science was an actual degree.

[Anonymous No.10889710]

>>10889705
You don't need a degree for it. DS people come from every field, CS and engineering just dominate, but postgrads and undergrads from any field are getting in to it. I personally know a guy with just a finance bachelors that does DS for example. I also personally know a lawyer self employed as a DS consultant making 7 figs. Approximately 10% of people employed in full time DS positions have no degree at all.

[Anonymous No.10889713]

>>10889710
You'll find those 10 percent chads winging their way through everything except medicine, law and other regulated fields.
Most of us human beings actually have a degree on the side. Data science is just an application of your degree

[Anonymous No.10889714]

>>10889713
>You'll find those 10 percent chads winging their way through everything except medicine, law and other regulated fields.
Lol, said finance guy failed calculus 3 times. Law guy is extremely Chad though.

DS is really not difficult to get into, don't be naive.

[Anonymous No.10889716]

>>10889714
Great then it won't be that hard to make a consulting company that employs a legion of data scientists right

[Anonymous No.10889720]

>>10889716
>Great then it won't be that hard to make a consulting company that employs a legion of data scientists right
It's not hard to start this company, it's hard to get market share.

[Anonymous No.10889722]

>>10889720
But yeah, unironically we could start a company with posters ITT and probably start generating revenue within the year. Especially since all of us have some kind of network with industry.

[Anonymous No.10889723]

>>10889674
>Starting jobs for engineering always pays like shit.
I make more now than the most senior engineers with 30+ years of experience at my last job did. Engineering is for cuckolds.

[Anonymous No.10889728]

>>10889723
I doubt you make more than Exxon engineers. Engineering has its winners and losers like any other profession.

[Anonymous No.10889732]

>>10889722
>tfw OP but no network
>and never had a job
Sorry I'd let you down

[Anonymous No.10889741]

>>10889732
I'm assuming you at least went to gradschool? You'd be surprised at what kind of network your former advisers have.

[Anonymous No.10889747]

>>10889728
If you want to compare outliers, top ML engineers make over $1M a year.

[Anonymous No.10889750]

>>10889747
ML engineers that make more than 1M a year are not really "engineer". They are either top scientists or managerial positions.

[Anonymous No.10889754]

>>10889750
Same goes for any Exxon "engineers" who make more than I do. ;^)

[Anonymous No.10889756]

>>10889747
People who are paid this much only get those contracts for a few years. For example after Uber's revenue tanked a lot of the 600k+ ML guys got canned. They will find other work, but never 600k tier again.

>>10889750
No he is right, there are ML non-managerial engineers that that. Usually they have PhDs from CMU/Caltech though.

[Anonymous No.10889768]

>>10889756
And what about the annual engineering layoffs that we've all come to know and love? The reason I left engineering was that Boeing just wouldn't stop downsizing their engineering their engineering department, regardless of how well the company was doing. They just kept dumping more and more hours onto fewer and fewer salaried engineers, and it completely fucked up the job market in the entire region since they were by far the biggest employer.

[Anonymous No.10889772]

>>10889756
And what about the annual engineering layoffs that we've all come to know and love? The reason I left engineering was that Boeing just wouldn't stop downsizing their engineering department, regardless of how well the company was doing. They just kept dumping more and more hours onto fewer and fewer salaried engineers, and it completely fucked up the job market in the entire region since Boeing was by far the biggest employer.

[Anonymous No.10889799]

>>10889768
Fuck Boeing. Boeing is full scummy boomer cunts who destroy the company for quick bonusses and short term investor gains. And now they want to bail them out. It should just die so smarter, leaner, moral companies actually willing to do research and design work can take a market share.

I understand why you hate engineering. I'm in Chemical myself and regularly suffer from the oil price dips. But eventually we'll get into consulting and start our own companies with small scale manufacturing contracts. In general just get a PhD through your company for authenticity and then work towards doing your own thing.

[Anonymous No.10891466]

>>10889663
>Engineering is dead.
i know countless people who have electircal and aerospace engineering jobs in the defense industry all making over 100k and never working more than 40 hrs a week.

Engineering is not even close to dead, there is almost not data to support you claim. The BLS even reports engineering still being a great opprotunity.

[Anonymous No.10891476]

>>10889619
>Data science is a scam
they should probably major in econ and minor in cs, i would say as a general rule dont build permanence around a buzzword.

taking more conservative majors from state universitys and then having a good personality when lookinng for job is probably a much better idea then taking some niche program at some university to fill a new "booming demand" for said niche

[Anonymous No.10891682]

>>10891476
My professor says it's gonna be around for 50 years. It's actually amazing how it hasn't become a well known real degree program yet considering how long we've had huge amounts of data

[Anonymous No.10892074]

>>10891466
I don't know what country that is, but in the third world it is pretty dead. The problem is stupid kids go into it even when their country has no industry. Those are the ones that end up in low paid wage slave jobs, if they're lucky enough to get a job as a line worker or whatever. The state always pushes it because they assume every engineering graduate has powerful connections to investors and that they will create jobs.

The other problem is countries relying on oil prices/trade, so we're going through another phase were economies flatline and no one gets hired. This permanently destroys your engineering career due to CV gaps.

There are always people that make it of course, but that varies between 40% to 10% of graduates. And whether you make it or not has nothing to do with your network/engineering skills, but your family connections only.

[Anonymous No.10892088]

>>10891682
It will be around for 50 years, but the salaries will dip massively unless people can start developing artificial exclusivity (one way would be to standardise a certification and make the exams difficult) where only Masters and PhD grads are considered for positions then the market will flood. Because let's face it it's really not hard to use a scikit-learn or TensorFlow API.

I mean think about it, imagine if web devs were still paid at pre- dot com burst levels. The more people that gain the skill, the less valuable it becomes.

[Anonymous No.10892220]

TL;DR
Go for a statistics major.

Every other major who just bites chunks of statistics are just pretending they're also capable of grappling data science.

Coding is a soft skill that even dumbfucks in humanities have managed to do, therefore majoring in computer science, software engineering, electrical - electronics engineering doesn't give you an edge.

[Anonymous No.10892236]

>>10884752
Then why does your professor teach instead of being in the data science industry?

[Anonymous No.10892238]

>>10892220
>Every other major who just bites chunks of statistics are just pretending they're also capable of grappling data science.
Does DS actually use any stats other than regression? The kind of baby stats used in industry is taught in most undergrad programmes.

>Coding is a soft skill that even dumbfucks in humanities have managed to do, therefore majoring in computer science, software engineering, electrical - electronics engineering doesn't give you an edge.
The value of these majors are in learning about algorithmic complexity and some other math that is sometimes useful, but mostly it's because they learn to deal with large data structures and have experience processing it.

Besides you often encounter stochastic PDEs in these fields, that rounds off the only type of statistics that is actually used in practice.

[Anonymous No.10892257]

>>10892238
>>10892238
Gaussian models mix, VARMA models, and bayesian or non parametric approaches cannot be labeled as "baby stats"

Thinking that data science is just doing ANOVAs is oversimplification.

[Anonymous No.10892270]

>>10892238
DS is a meme term that lose most of its value.
AI scientists are using extremely complex bayesian models. Lookup some papers in top conferences.
Some are pushing multiple fields like geometry, anaylys, etc... just to have a tool to study neural networks

>>10892257
bunches ppl who are talking bs in this thread without knowing what DS really is about. they just want to shit on DS/AI in general cause they are bitter and their field pays like shit.

[Anonymous No.10892272]

>>10892257
A lot of those have equivalent interpretations in other fields. For example global basis function optimization, z-domain filters etc. and sometimes they have better/worse solutions in those fields.

The value of stats is undisputed, but you don't need an entire degree in it, especially if you get it at the cost of other potentially valuable subjects.

>AI scientists are using extremely complex bayesian models. Lookup some papers in top conferences.
AI has split up from Machine Learning long ago. I don't think anyone intelligent considers ML and AI to still be the same field.

>Some are pushing multiple fields like geometry, anaylys, etc... just to have a tool to study neural networks
The main value of NNs are their low computational complexity and linearity. This also leads to actual applications being extremely simple to understand.

[Anonymous No.10892292]

>>10892220
The type of "coding" you're talking about is basic entry level bullshit and you probably still suck at it

[Anonymous No.10892298]

>>10892236
Idk he does data science research and machine learning.

[Anonymous No.10892340]

>>10892257
I began working with GMMS and VARMA models after literally never encountering stats outside of quantum mechanics.
If these are your examples of complex statistics, then i can confirm non-brainlets do not need an undergrad in stats to do DS.

[Anonymous No.10892523]

>>10891466
Not sure what planet you're living on m8. That is the exact opposite of what I have seen in Washington State. Also, your post sounds suspiciously like an undergrad seeking validation about their major.

[Anonymous No.10893939]

bump

[Anonymous No.10894366]

Is data science just machine learning/stats applied to business problems?

[Anonymous No.10894387]

>>10889704
>without STEM degrees, they have no fallback
Typical student moron. The second you have a job, your degree is not a "fallback." Nobody gives a SINGLE FUCK what your degree was in once you change jobs, they care about work experience, and even your exact field matters fuck all.

[Anonymous No.10894399]

>>10889704
I doubt that and if it's true you can just start your own company. I know many programmers with no degree at all.

[Anonymous No.10894481]

>>10889674
The real pro move is to become a data scientist in the particular field you came from. People trying to be generic data scientists are piling up everywhere. Data scientists who have a specific background are rare.

I was a chemical engineer for three years before I moved into data science/machine learning in the chemical industry. This made it way easier for me to get hired initially. Knowing the science side of the industry made up for the fact that I didn't have any professional DS experience. A way easier in than trying for a FAANG type company.

[Anonymous No.10894485]

>>10894481
I'm thinking of doing this. However it might be too small of a niche to make a company for won't it

[Anonymous No.10894517]

>>10891682
>50 years

Lol, a lot could happen in 50 years.

[Anonymous No.10894524]

>>10878013
It's the most socially destructive job of the 21st century. You're literally helping megacorporations like Google learn to control and own people.

[Anonymous No.10894843]

>>10894387
Good luck getting a job in a professional career that requires a degree to even sit the licensure exams you dropout dumbfuck.

[Anonymous No.10894941]

>>10894524
You mean progressive. There so much data, going to waste. It’s not efficient to let it go unused

[Anonymous No.10894955]

>>10894481
Do you have any advice for me trying to break into this? I'm finishing my PhD soon and tried to break into pharma drug discovery DS positions without success. I was supposed to be in control, but the industry slump destroyed all my hopes and dreams and now I'm facing starvation and death next year.

[Anonymous No.10894964]

>>10894955
Start your own company

[Anonymous No.10895014]

>>10894964
Thanks. I've been on the fence on whether or not to do this for months. I have some software licenses I want to try and sell and could also try to break into consulting. My co-adviser has the network for it. I know there's a low chance of making it, but I see so many mid 30s engineers who are employing 20+ people doing something like this. Worth a shot anyway.

Thank you based Anons.

[Anonymous No.10895045]

>>10895014
Most people who start companies are idiots who aren’t worth a damn and study soft subjects.
Chances of a stem company working are much higher

[Anonymous No.10896383]

>>10894387
Not true.
They always will look at your background except if you have outstanding experience.

[Anonymous No.10897263]

>>10887441
>are jobs going to increase at the rate of retarded normies who want to be le epic AI scientists
No

[Anonymous No.10897478]

>>10892270
>DS is a meme term that lose most of its value.

This, and it always has been. All a data scientist is is a statistician, econometrician, physicist, or an actual computer scientist, i.e. does research as opposed to being a code monkey. Retards just clustered all those professions into one label because people get an erection every time they hear the word "data". "Data" is literally the new "Synergy", i.e. management and HR throw it around when they want to sound smart.

If you have an advanced degree in any of the aforementioned fields from a well known university, then you will likely be okay, no matter what your job is officially called. People who get into it because it's a buzzword will likely get fired/laid off as they are unoriginal and can only replicate ideas as opposed to creating a solution to a problem that no one knows exists.

TL;DR If you aren't using data, you aren't a scientist nor are you a human because literally everything we do, every choice we make, is all based off data, so don't get a degree in "data science", just git gud at math/stat/cs and don't be a NPC

t. about to start a Ph.D in Statistics so I can get paid a fuckton of money to import tensorflow and scikit-learn

[Anonymous No.10897487]

>>10897263
YES dude.
Do you know why marketing and economics majors are always in demand all the time for some reason? The ponzi scheme that is the modern economy keeps creating more fake jobs.
Data science jobs are the same but slightly less fake.

[200 IQ Filipino incel No.10897503]

>>10878013
Im sure op wouldnt reach to 69 IQ because he is a retarded person

[200 IQ Filipino incel No.10897504]

>>10897487
Lol. You are retarded just like op

[Anonymous No.10897507]

>>10897487
Former marketingfag here, it's not a fake job and not retards sitting around pitching ideas all day or whatever Mad Men-esque picture you conjured, what it is is overly stressful bullshit that ruins any limited free time you might have. The real fake jobs are basically anything in HR as they solely exist to give useless women jobs, however they started turning entire offices into their personal safespace while constantly employing dumbshit changes nobody wants

[Anonymous No.10897524]

>>10897504
I am OP.

>>10897507
Isn't advertising fake? Literally trying to tell people that you have something they could buy. It really pissed me off when I did it for a while, I felt like I was not contributing to society.

[Anonymous No.10897535]

>>10897507
>The real fake jobs are basically anything in HR as they solely exist to give useless women jobs

In my opinion, HR is the most detrimental thing to humanity that has been created in the past century. Yeah lets hire a bunch of fuckwits who studied art history to be in charge of hiring people for jobs that require skills which they can't even begin to comprehend.

[Anonymous No.10897538]

>>10897535
You could say the same for the CEO of every company

[Anonymous No.10897549]

>>10897538
Unless they built it from the ground up, then I agree with you 98%.

[Anonymous No.10897554]

>>10892220
>mfw statistical and condensed matter physicists understand stats better than statisticians

[Anonymous No.10897555]

>>10897549
Bullshit CEO's that give a shit actually know their shit. Any their customers. My dad is the kind of asshole you're jealous of because he runs his own company. But he knows every single customer personally. I'm the kind of asshole brat kid that you hate but I try to make friends with every single person I meet. Even the cunts that look me in the eye and abuse me. I my white people do that. Inferior races have a little shame.

[Anonymous No.10897570]

>>10897555
>My dad is the kind of asshole you're jealous of because he runs his own company.... I'm the kind of asshole brat kid that you hate

Kek me too coincidentally. So I'm not talking out of my ass because I grew up when the company was starting out. I have mad respect for those CEO's

[Anonymous No.10897571]

>>10897570
Mine too*

[Anonymous No.10897582]

>>10897487
>economics majors are always in demand all the time for some reason? T
This is absolutely false, most econ majors are unemployed. These days they need gradschool to be employable and even then only a minority make it.

[Anonymous No.10897607]

>>10878013
because youre a tool of the contemporary beast, the big data industry, its current abuse seems to suggest that data for example is being used to create artificial intelligence bots to manipulate internet users into thinking that theyre interacting with real people, exemplifying the control or social engineering of "natural" discourse on the internet.

It's also along the lines that Data science is going in the direction of fuck you humanity, I don't believe you have freedoms, the human race must be predictable, and ultimately controlled, therefore having no real freedoms.

Nothing in Data Science will be respectable until Hitler returns

[Anonymous No.10897615]

>>10884507
>>10884746


Can Confirm.

Anon making 24k after taxes and it's not livable.

[Anonymous No.10897890]

>>10897478
>Fails to understand what DS is and who finds employment in it

Typical statistician who won't understand why no one hires him into DS/ML positions.

[Anonymous No.10897906]

Finally, a subject less scientific than computer science.

[Anonymous No.10897922]

>>10881976
Any other books you would suggest for a dumb CS graduate to dip his toes into the DS field?
Just started going through pic related.

[Anonymous No.10897924]

>>10878909
What are you talking about? I make about $190k a year and I've only worked for a few years. Are you saying it's bad money?

[Anonymous No.10898070]

>>10897906
shut up this is science too

[Anonymous No.10898082]

>>10878013
>pic
Cringe.
>post
Cringe.

This is not science. This is mere crafting. Data plebescience is a meme, buzzword and bullshit.

[Anonymous No.10898111]

>>10898082
Yeah, bullshit that pays 6-figure salaries