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Data Science Job Trends & Salaries 2024
Data Science and Analytics
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Free
About
This dataset offers a detailed overview of data science job opportunities and associated salary trends, meticulously extracted from the Glassdoor website. It provides essential information such as job titles, estimated salaries, in-depth job descriptions, company ratings, and key company details including location, size, and industry. This resource is ideal for anyone seeking to understand the data science job market, facilitating informed career choices. It serves as a valuable asset for job hunting, market research, and is suitable for both beginners and experts looking to analyse job-related information, predict trends, or uncover hidden patterns within the industry.
Columns
- Job Title: The title of the advertised job role.
- Salary Estimate: The estimated salary range provided by the company for the specific job.
- Job Description: A full textual description detailing the responsibilities and requirements of the job.
- Rating: The overall rating of the company, often based on employee reviews.
- Company Name: The name of the company posting the job advertisement.
- Location: The geographical location where the job is based.
- Headquarters: The primary administrative office location of the company.
- Size: The number of employees working at the company.
- Founded: The year in which the company was established.
- Type of ownership: Indicates the legal and financial structure of the company (e.g., private, public, non-profit).
- Industry: The sector of economic activity in which the company primarily operates.
- Sector: A more specific subdivision within the industry, detailing the type of services or products the company offers.
- Revenue: The total income generated by the company.
- Competitors: Other companies operating in the same market or offering similar products/services.
Distribution
The dataset is provided as a CSV data file, with a filename of Glassdoor_Salary_Cleaned_Version.csv. It has a size of 3.1 MB and contains 28 columns. The dataset includes 742 records, offering a substantial volume of data for analysis.
Usage
This dataset can be utilised for a variety of purposes, including:
- Job Seeking: Aiding individuals in finding relevant data science jobs and understanding salary expectations.
- Market Analysis: Examining current trends in the data science job market and identifying in-demand skills.
- Salary Benchmarking: Comparing salary estimates across different job titles, locations, and company types.
- Company Research: Investigating company ratings, size, industry, and headquarters to inform career decisions.
- Predictive Modelling: Developing models to forecast future job market trends or salary variations.
- Academic Research: Supporting studies on labour economics, industry development, and career progression in data science.
- Kaggle Notebooks: Ideal for contributing to data science challenges and sharing insights within the community.
Coverage
- Geographic Scope: The data largely reflects job postings within the United States, with prominent locations including New York, NY, and San Francisco, CA. Key states like California (CA) and Massachusetts (MA) are also well-represented.
- Time Range: This dataset focuses on data science job trends and salaries pertinent to 2024. While specific job posting dates are not included, company founding years range broadly.
- Demographic Scope: The dataset pertains to job opportunities and company attributes; it does not contain specific demographic information about individuals.
License
CC0: Public Domain
Who Can Use It
- Job Seekers: To explore job opportunities, understand market values, and refine job search strategies.
- Data Analysts and Scientists: For market research, building analytical models, and extracting actionable insights from job data.
- Career Counsellors: To provide data-driven advice on career paths, skills development, and industry trends.
- Human Resources Professionals: For competitive analysis of compensation, talent acquisition, and employer branding.
- Students and Researchers: As a valuable resource for academic projects, dissertations, and labour market studies.
- Beginners and Experts: Its user-friendly nature makes it accessible for foundational learning as well as advanced analysis.
Dataset Name Suggestions
- Data Science Job Trends & Salaries 2024
- Glassdoor Data Science Opportunities
- Global Data Science Career Insights
- AI/ML Employment Market Data
- Job & Salary Market Dynamics
Attributes
Original Data Source: Data Science Job Trends & Salaries 2024
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