Context
In the rapidly evolving field of data science, understanding the trends and patterns in salaries is crucial for professionals and organizations alike. This dataset aims to shed light on the landscape of Data Science Salaries from 2020 to 2024. By analyzing salary data over this period, data enthusiasts, researchers, and industry professionals can gain valuable insights into salary trends, regional variations, and potential factors influencing compensation within the data science community.
Content
The dataset encompasses a comprehensive collection of data science salary information, covering a span of five years from 2020 to 2024. The data includes various aspects related to salaries, providing a multifaceted view of compensation in the field.
Dataset Structure
This dataset (data_science_salaries
) covering from 2020 up to 2024 includes the following columns:
Column Name |
Description |
job_title |
The job title or role associated with the reported salary. |
experience_level |
The level of experience of the individual. |
employment_type |
Indicates whether the employment is full-time, part-time, etc. |
work_models |
Describes different working models (remote, on-site, hybrid). |
work_year |
The specific year in which the salary information was recorded. |
employee_residence |
The residence location of the employee. |
salary |
The reported salary in the original currency. |
salary_currency |
The currency in which the salary is denominated. |
salary_in_usd |
The converted salary in US dollars. |
company_location |
The geographic location of the employing organization. |
company_size |
The size of the company, categorized by the number of employees. |
Acknowledgment
The primary dataset was retrieved from the ai-jobs.net. I sincerely thank the team for providing the core data used in this dataset.
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