If the company is small, no one will be
Posted: Sun Feb 02, 2025 7:01 am
Start applying data science to your work
The first step is to identify how your company can use AI for any given problem, and then solve that problem. There may not be time during the workday to do this. But you can tackle the project in the evening or on the weekend and then share the results.
against the employee's initiative. If the solution turns out to be really useful, the project can be included in the number of his permanent tasks. This is also worth indicating in the resume.
5. Enroll in a data science bootcamp
This requires money, and not all bootcamps are equally good, but bulgaria number data after them you can get a job in a large, reputable company.
The best bootcamps only accept participants with degrees, so perhaps the success of candidates is more of a "survivor's error" (bootcamps accept students who will achieve their goals anyway).
Bootcamps have several advantages:
candidates consult real companies;
graduates get connected with businesses looking for employees;
Those who study are preparing for work (although not everyone gets it).
6. Become a developer first
While data science is a field that is largely code-driven, it has a lot of overlap with software development. With experience in this field, you can find a data science position that involves working with databases, programming languages, and libraries that you are already familiar with. If you meet most of the requirements for the job, you have a good chance of getting an interview.
The first step is to identify how your company can use AI for any given problem, and then solve that problem. There may not be time during the workday to do this. But you can tackle the project in the evening or on the weekend and then share the results.
against the employee's initiative. If the solution turns out to be really useful, the project can be included in the number of his permanent tasks. This is also worth indicating in the resume.
5. Enroll in a data science bootcamp
This requires money, and not all bootcamps are equally good, but bulgaria number data after them you can get a job in a large, reputable company.
The best bootcamps only accept participants with degrees, so perhaps the success of candidates is more of a "survivor's error" (bootcamps accept students who will achieve their goals anyway).
Bootcamps have several advantages:
candidates consult real companies;
graduates get connected with businesses looking for employees;
Those who study are preparing for work (although not everyone gets it).
6. Become a developer first
While data science is a field that is largely code-driven, it has a lot of overlap with software development. With experience in this field, you can find a data science position that involves working with databases, programming languages, and libraries that you are already familiar with. If you meet most of the requirements for the job, you have a good chance of getting an interview.