Why can't I find a job in data science?

Question

Career in IT

Hello! I have the following problem: they do not hire in data science. Looking forward to your advice/comments. I am interested in this area and I want to work in it.
I have three years of experience (+knowledge) with Python and its ds libraries (educational/personal projects, courses, books). I know mat. statistics, mat. analysis, linal and the most popular machine learning algorithms (study at the university, courses, books, personal projects), I know SQL. Also the level of English is C1. Education: bachelor's degree - physics, master's degree - applied computer science.
But at the same time, they don’t hire me at ds, even for an internship! I have already passed a dozen interviews, at the social security itself everything seems to be fine and I do the test tasks well too, but they still don’t take it. What am I doing wrong? Please tell

me Edit:
Thank you all for your advice and replies!
What I managed to take away from this discussion:
1. One theory is not enough. You need practice in programming, applying ml algorithms, working with data.
2. You need to work on github (1 item each). There should be more complex, independent projects on the github, and not simple laptops with simple algorithms and simple data. You can also try your hand at kaggle. But here it is unlikely that it will be possible to take at least some prize-winning place, but you can learn something.
3. You can try to find a job in pure programming in python (or some other jap) and, having dealt with this, go to ds in the future.
4. As for the interview process: you need to be more open, show the interviewer not only your knowledge, but also your desire.
5. For starters, try to apply to small companies, there are more options for what they will take.

Good luck to all! And I will try to work on the sub and my git.

Answer 1

I have three years of experience (+knowledge) with Python and its ds libraries (educational/personal projects, courses, books). I know mat. statistics, mat. analysis, linal and the most popular machine learning algorithms (study at the university, courses, books, personal projects), I know SQL. Also the level of English is C1. Education: bachelor's degree - physics, master's degree - applied computer science.

Work experience usually counts only commercial experience.

Also the level of English is C1

Usually, such a cool level of English is needed only to work in Western companies, or if the position requires regular communication in English.
Well, it also needs to be confirmed somehow. For example, an international exam, or work / study experience in Europe / America

What am I doing wrong? Tell me please

Who knows - you didn't say what you were doing)
From general advice:

1. Detail your experience.
   What exactly is included in these three years: Study, work in specific companies, what technologies were used in different years, and for what.
   
2. Describe specific skills (not just familiar with libraries, but specifically at what level)
   . Ideally, with examples. Since you specialize in DS, it makes sense to post some of your research papers on Kaggle, and link to them in your resume.
   
3. When completing test tasks, clarify all non-obvious points that can be interpreted in two ways - correctly asked questions give a plus in the interview.
   
4. During the interview, not only answer questions, but also be sure to ask: about the company, tasks, salary, and in general about everything that interests you - again, remember the plus sign about the right questions.
   
5. After the interview and the test task, be sure to ask for feedback - so you will at least know why you are being refused (mistakes, lack of skills, insufficient impression, or maybe the vacancy has already been filled by another person)
   

And most importantly - do not despair, and do not think that the problem is always in you (and depression is not far away)

Answer 2

I suspect that burning eyes are needed . This is not often written in the requirements, and if they are written, then in other words.
Most people are irrational beings, they think subjectively. Therefore, in addition to knowledge, you also need to make a proper impression. This is called soft skills - the ability to negotiate, as well as the ability to sell yourself. Of course, purely professional knowledge (hard skills) is much more important, but try to explain this to employers. Therefore, it is not enough to have only a prof. knowledge.
I will also cautiously suggest that despite your perseverance and achievements, you simply lack intelligence. And test tasks reveal this. Just don't be offended, please. Statistically, men and women are on average approximately equal in intelligence, but men have a much greater spread, that is, there are more geniuses and idiots among them. For the same reason, there are practically no women among famous scientists (if we consider the top cut of the minds of mankind). Perhaps you are being asked specifically for intelligence, ingenuity, and critical thinking. Test items may have a catch that you do not notice or do not fully disclose. And if some super-genius hires you, then he may either have a stupid stereotype, or he wants the same genius for an empty place. Based on this, the more attention should be paid to the proper impression. Unfortunately, this is not taught in a technical university.
In general, as strange as my advice may sound, but try to add more emotions to the interview procedure so that your spark can somehow infect the employer. Just saying "I'm interested in this area and I want to work in it" is not enough. At least the word "very" is missing. And the maximum is limited only by your imagination and common sense.

Answer 3

And where is your github, resume, photo, list of companies where you got a job, country, city?
Or do you want your Habré fortune-teller on coffee grounds?
Already based on the way you ask questions, you can safely suggest that they don’t take you because of this.
And even worse, you are generally ready to listen to answers that are essentially unfounded

Answer 4

A data scientist works with data just like a scientist in any other field. It uses mathematical statistics, logical principles and modern visualization tools to get the result.
Have you really studied the profession? It is your job to build a mathematical model of the device to work in the area of ​​interest. Collect statistics. Make assumptions. Evaluate the significance
of parameters.

Answer 5

https://qna.habr.com/q/810211
https://qna.habr.com/q/1023980

Answer 6

IMHO, the main problem is gender. Women are generally not too willing to take positions in IT related to programming.
The IT industry is one of the most toxic in terms of sexism. Programmers can often throw away greasy jokes, sometimes not shunning outright humiliation. I can't stand this community even for a couple of hours. As soon as this programmer trash humor of the bash org level starts, I want to shoot myself.
I personally read how a woman came to interview, with good skills, fully responsible on all fronts, and an Uzbek who spoke Russian with difficulty. So in the end they decided to take an Uzbek, and the whole office shouted "not a woman!".

Answer 7

Education: bachelor's degree - physics, master's degree - applied computer science.

those. you just don't have an education. In fact, none. You don't even have the right to work as a teacher at school.

Answer 8

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