Data Science Job Postings and Salaries 2020-2024 Dataset
Dataset Description
Description:
- The dataset comprises anonymized data on salaries in the data science field, capturing various aspects such as experience level, employment type, and remote work ratio.
- This dataset can be utilized for analyzing salary trends in data science, including variations across job titles, locations, and experience levels.
- It can aid in understanding the impact of factors like remote work, company size, and location on compensation in data science roles.
- This dataset can be utilized for analyzing compensation patterns and trends in data science roles across various demographics.
- It can help in benchmarking salaries based on experience, job title, and company size, as well as evaluating the effects of remote work and geographic location on salary levels.
Features:
| Column Name | Description |
|---|---|
| work_year | The year in which the salary data was collected. |
| experience_level | The employee's experience level (e.g., Junior, Mid-level, Senior, Expert). |
| employment_type | The type of employment (e.g., Full-Time, Part-Time, Contract). |
| job_title | The title or role of the employee in the data science field. |
| salary | The employee's salary in the currency specified by salary_currency. |
| salary_currency | The currency in which the salary is denoted. |
| salary_in_usd | The employee's salary converted to USD for standardization. |
| employee_residence | The location of the employee's residence. |
| remote_ratio | The percentage of remote work allowed for the position (e.g., 0, 50, 100). |
| company_location | The location of the company where the employee works. |
| company_size | The size of the company based on employee count (e.g., Small, Medium, Large). |
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