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Global Data Science Salaries
Data Science and Analytics
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About
This dataset illuminates salary trends within the data science field from 2021 to 2023. It offers valuable insights into salary distributions by focusing on various aspects of employment, including work experience, job titles, and company locations. It is a valuable resource for understanding the economic landscape of the data science job market and for informing decisions for both job seekers and employers.
Columns
- work_year: Represents the specific year of salary data collection, spanning from 2020 to 2023.
- experience_level: Indicates the level of work experience of employees, categorised as EN (Entry-Level), EX (Experienced), MI (Mid-Level), and SE (Senior).
- employment_type: Denotes the type of employment, labelled as FT (Full-Time), CT (Contractor), FL (Freelancer), and PT (Part-Time).
- job_title: Specifies the job titles held by employees, such as "Applied Scientist" or "Data Quality Analyst".
- salary: Contains the salary figures in their original currency formats.
- salary_currency: Provides the currency code representing the salary, with USD being the most common.
- salary_in_usd: Features converted salary figures in USD for consistent comparison.
- company_location: Details the location of the companies, specified as country codes (e.g., "US" for the United States, "GB" for Great Britain, "NG" for Nigeria).
- company_size: Classifies the size of the companies as "L" (Large), "M" (Medium), and "S" (Small).
Distribution
The dataset is provided as a CSV file, named "Data Science Salary 2021 to 2023.csv", with a size of 191.86 kB. It contains 9 columns and approximately 3,761 records or rows.
Usage
This dataset is ideal for:
- Analysing optimal hiring decisions: Determining the most effective employment type and experience level for hiring data science professionals for enhanced cost-effectiveness.
- Visualising salary trends over time: Interpreting and visualising data science salary trends from 2021 to 2023.
- Job title recommendation: Suggesting suitable job titles for candidates based on their experience level and desired salary range.
Coverage
The dataset covers salary data primarily from 2021 to 2023, with some data points from 2020. Geographic coverage extends to 72 unique company locations globally, with the United States and Great Britain being prominent. It encompasses various experience levels, employment types, and company sizes, providing a broad overview of the data science job market.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for data enthusiasts, analysts, job seekers, and employers who wish to understand the economic landscape of the data science job market, identify salary trends, and make informed decisions regarding careers and hiring.
Dataset Name Suggestions
- Data Science Salary Trends 2021-2023
- Global Data Science Salaries
- Analysing Data Science Pay
- Data Science Job Market Insights
Attributes
Original Data Source:Global Data Science Salaries
QUALITY