Dataset Card for Data Science Job Salaries

  Dataset Summary





  Content

Column Description

work_year The year the salary was paid.

experience_level The experience level in the job during the year with the following possible values: EN Entry-level / Junior MI Mid-level / Intermediate SE Senior-level / Expert EX Executive-level / Director

employment_type The type of employement for the role: PT Part-time FT Full-time CT Contract FL Freelance

job_title… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/data-science-job-salaries.

This dataset was obtained from the Google Jobs API through serpAPI and contains information about job offers for data scientists in companies based in the United States of America (USA). The data may include details such as job title, company name, location, job description, salary range, and other relevant information. The dataset is likely to be valuable for individuals seeking to understand the job market for data scientists in the USA and for companies looking to recruit data scientists. It may also be useful for researchers who are interested in exploring trends and patterns in the job market for data scientists. The data should be used with caution, as the API source may not cover all job offers in the USA and the information provided by the companies may not always be accurate or up-to-date.

H-1B visa sponsorship trends for Data Scientist, covering top employers, salary insights, approval rates, and geographic distribution. Explore how job title impacts the U.S. job market under the H-1B program.

This dataset contains information about job offers for data scientists in companies based in the United States of America (USA). It was obtained from the Google Jobs API via serpAPI. The dataset aims to provide insights into the job market for data scientists in the USA, assisting individuals in understanding opportunities and aiding companies in recruitment efforts. It is also valuable for researchers looking to explore trends and patterns within this specific job market.

Columns

• ID: A unique identifier for each job offer.
• title: The job title of the position advertised.
• company: The name of the company posting the job.
• announcement: The platform or location where the job was posted.
• description: The detailed job description.

Distribution

The dataset is typically provided in a CSV file format. It includes approximately 790 records, detailing various aspects of data scientist job offers. The structure is tabular, with distinct columns for job attributes.

Usage

This dataset is ideally suited for: * Individuals seeking to understand the current job market for data scientists in the USA, helping with career planning and job searching. * Companies looking to recruit data scientists, enabling them to analyse market demand and competitive offerings. * Researchers interested in exploring employment trends, salary patterns, or specific skill requirements within the data science field in the USA.

Coverage

The dataset focuses exclusively on job offers for data scientists in the United States of America. The data pertains to 2023 job descriptions. Users should be aware that the originating API source may not include all job offers across the USA, and the information provided by companies may not always be entirely up-to-date or accurate.

License

CC0

Who Can Use It

• Job seekers: To identify potential roles and understand market expectations.
• Recruitment agencies and HR professionals: For talent acquisition strategy and competitive analysis.
• Academic researchers and data analysts: To conduct studies on labour market dynamics and skill gaps.
• Educational institutions: To inform curriculum development based on industry demand.

Dataset Name Suggestions

• USA Data Scientist Job Market 2023
• US Data Science Vacancies
• American Data Scientist Roles 2023
• Data Scientist Jobs USA 2023

Attributes

Original Data Source: 2023 Data Scientists Jobs Descriptions

Graph and download economic data for Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over: Men (LEU0254588100A) from 2000 to 2024 about occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for data scientist in the U.S.

This dataset provides valuable insights into the US data science job market, containing detailed job listings scraped from the Indeed web portal on 20th November 2022. It is ideal for those seeking to understand job trends, analyse salary expectations, or develop skills in data analysis, machine learning, and natural language processing. The dataset's purpose is to offer a snapshot of available positions across various data science roles, including data scientists, machine learning engineers, and business analysts. It serves as a rich resource for exploratory data analysis, feature engineering, and predictive modelling tasks.

Columns

• Title: The job title of the listed position.
• Company: The hiring company posting the job.
• Location: The geographic location of the job within the US.
• Rating: The rating associated with the job or company.
• Date: Indicates how long the job had been posted prior to 20th November 2022.
• Salary: The salary information provided in US Dollars ($). Please note that many entries in this column may be missing as salary details are often not disclosed in job listings.
• Description: A brief summary description of the job.
• Links: The direct link to the original job posting on the Indeed platform.
• Descriptions: The full-length description of the job, encompassing all details found in the complete job posting.

Distribution

This dataset is provided as a single data file, typically in CSV format. It comprises 1200 rows (records) and 9 distinct columns. The file name is data_science_jobs_indeed_us.csv.

Usage

This dataset is perfectly suited for a variety of analytical tasks and applications: * Data Cleaning and Preparation: Practise handling missing values, especially in the 'Salary' column. * Exploratory Data Analysis (EDA): Discover trends in job titles, company types, and locations. * Feature Engineering: Extract new features from the 'Descriptions' column, such as required skills, education levels, or experience. * Classification and Clustering: Develop models for salary prediction, or perform skill clustering analysis to guide curriculum development. * Text Processing and Natural Language Processing (NLP): Analyse job descriptions to identify common skill demands or industry buzzwords.

Coverage

The dataset's geographic scope is limited to job postings within the United States. All data was collected on 20th November 2022, with the 'Date' column providing information on how long each job had been active before this date. The dataset covers a wide range of data science positions, including roles such as data scientist, machine learning engineer, data engineer, business analyst, and data science manager. It is important to note the presence of many missing entries in the 'Salary' column, reflecting common data availability challenges in job listings.

License

CCO

Who Can Use It

This dataset is an excellent resource for: * Aspiring Data Scientists and Machine Learning Engineers: To sharpen their data cleaning, EDA, and model deployment skills. * Educators and Curriculum Developers: To inform and guide the development of relevant data science and analytics courses based on real-world job market demands. * Job Seekers: To understand the current landscape of data science roles, required skills, and potential salary ranges. * Researchers and Analysts: To glean insights into labour market trends in the data science domain. * Human Resources Professionals: To benchmark job roles, skill requirements, and compensation within the industry.

Dataset Name Suggestions

• Indeed US Data Science Job Insights
• US Data Science Job Market Analysis
• Data Professional Job Postings (Indeed USA)
• Data Science Career Opportunities (USA)

Attributes

Original Data Source: Data Science Job Postings (Indeed USA)

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for data scientist ii in the U.S.

United States - Employed full time: Wage and salary workers: Life scientists, all other occupations: 16 years and over: Women was 1.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Life scientists, all other occupations: 16 years and over: Women reached a record high of 9.00000 in January of 2022 and a record low of 0.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Life scientists, all other occupations: 16 years and over: Women - last updated from the United States Federal Reserve on July of 2025.

United States - Employed full time: Wage and salary workers: Computer and information research scientists occupations: 16 years and over: Women was 12.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Computer and information research scientists occupations: 16 years and over: Women reached a record high of 13.00000 in January of 2021 and a record low of 2.00000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Computer and information research scientists occupations: 16 years and over: Women - last updated from the United States Federal Reserve on July of 2025.

United States - Employed full time: Wage and salary workers: Computer and information research scientists occupations: 16 years and over was 32.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Computer and information research scientists occupations: 16 years and over reached a record high of 41.00000 in January of 2021 and a record low of 15.00000 in January of 2013. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Computer and information research scientists occupations: 16 years and over - last updated from the United States Federal Reserve on July of 2025.

United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over was 432.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over reached a record high of 432.00000 in January of 2024 and a record low of 58.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over - last updated from the United States Federal Reserve on July of 2025.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for senior data scientist in the U.S.

Graph and download economic data for Employed full time: Wage and salary workers: Computer scientists and systems analysts occupations: 16 years and over (LEU0254477000A) from 2000 to 2010 about analysts, computers, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

United States - Employed full time: Wage and salary workers: Biological scientists occupations: 16 years and over: Women was 47.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Biological scientists occupations: 16 years and over: Women reached a record high of 57.00000 in January of 2022 and a record low of 28.00000 in January of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Biological scientists occupations: 16 years and over: Women - last updated from the United States Federal Reserve on July of 2025.

AbstractThe H1B is an employment-based visa category for temporary foreign workers in the United States. Every year, the US immigration department receives over 200,000 petitions and selects 85,000 applications through a random process and the U.S. employer must submit a petition for an H1B visa to the US immigration department. This is the most common visa status applied to international students once they complete college or higher education and begin working in a full-time position. The project provides essential information on job titles, preferred regions of settlement, foreign applicants and employers' trends for H1B visa application. According to locations, employers, job titles and salary range make up most of the H1B petitions, so different visualization utilizing tools will be used in order to analyze and interpreted in relation to the trends of the H1B visa to provide a recommendation to the applicant. This report is the base of the project for Visualization of Complex Data class at the George Washington University, some examples in this project has an analysis for the different relevant variables (Case Status, Employer Name, SOC name, Job Title, Prevailing Wage, Worksite, and Latitude and Longitude information) from Kaggle and Office of Foreign Labor Certification(OFLC) in order to see the H1B visa changes in the past several decades. Keywords: H1B visa, Data Analysis, Visualization of Complex Data, HTML, JavaScript, CSS, Tableau, D3.jsDatasetThe dataset contains 10 columns and covers a total of 3 million records spanning from 2011-2016. The relevant columns in the dataset include case status, employer name, SOC name, jobe title, full time position, prevailing wage, year, worksite, and latitude and longitude information.Link to dataset: https://www.kaggle.com/nsharan/h-1b-visaLink to dataset(FY2017): https://www.foreignlaborcert.doleta.gov/performancedata.cfmRunning the codeOpen Index.htmlData ProcessingDoing some data preprocessing to transform the raw data into an understandable format.Find and combine any other external datasets to enrich the analysis such as dataset of FY2017.To make appropriated Visualizations, variables should be Developed and compiled into visualization programs.Draw a geo map and scatter plot to compare the fastest growth in fixed value and in percentages.Extract some aspects and analyze the changes in employers’ preference as well as forecasts for the future trends.VisualizationsCombo chart: this chart shows the overall volume of receipts and approvals rate.Scatter plot: scatter plot shows the beneficiary country of birth.Geo map: this map shows All States of H1B petitions filed.Line chart: this chart shows top10 states of H1B petitions filed. Pie chart: this chart shows comparison of Education level and occupations for petitions FY2011 vs FY2017.Tree map: tree map shows overall top employers who submit the greatest number of applications.Side-by-side bar chart: this chart shows overall comparison of Data Scientist and Data Analyst.Highlight table: this table shows mean wage of a Data Scientist and Data Analyst with case status certified.Bubble chart: this chart shows top10 companies for Data Scientist and Data Analyst.Related ResearchThe H-1B Visa Debate, Explained - Harvard Business Reviewhttps://hbr.org/2017/05/the-h-1b-visa-debate-explainedForeign Labor Certification Data Centerhttps://www.foreignlaborcert.doleta.govKey facts about the U.S. H-1B visa programhttp://www.pewresearch.org/fact-tank/2017/04/27/key-facts-about-the-u-s-h-1b-visa-program/H1B visa News and Updates from The Economic Timeshttps://economictimes.indiatimes.com/topic/H1B-visa/newsH-1B visa - Wikipediahttps://en.wikipedia.org/wiki/H-1B_visaKey FindingsFrom the analysis, the government is cutting down the number of approvals for H1B on 2017.In the past decade, due to the nature of demand for high-skilled workers, visa holders have clustered in STEM fields and come mostly from countries in Asia such as China and India.Technical Jobs fill up the majority of Top 10 Jobs among foreign workers such as Computer Systems Analyst and Software Developers.The employers located in the metro areas thrive to find foreign workforce who can fill the technical position that they have in their organization.States like California, New York, Washington, New Jersey, Massachusetts, Illinois, and Texas are the prime location for foreign workers and provide many job opportunities. Top Companies such Infosys, Tata, IBM India that submit most H1B Visa Applications are companies based in India associated with software and IT services.Data Scientist position has experienced an exponential growth in terms of H1B visa applications and jobs are clustered in West region with the highest number.Visualization utilizing programsHTML, JavaScript, CSS, D3.js, Google API, Python, R, and Tableau

United States - Employed full time: Wage and salary workers: Conservation scientists and foresters occupations: 16 years and over: Women was 8.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Conservation scientists and foresters occupations: 16 years and over: Women reached a record high of 11.00000 in January of 2017 and a record low of 1.00000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Conservation scientists and foresters occupations: 16 years and over: Women - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Employed full time: Wage and salary workers: Computer and information research scientists occupations: 16 years and over: Women (LEU0257860000A) from 2011 to 2024 about computers, occupation, information, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

United States - Employed full time: Wage and salary workers: Life scientists, all other occupations: 16 years and over: Men was 2.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Life scientists, all other occupations: 16 years and over: Men reached a record high of 9.00000 in January of 2022 and a record low of 0.00000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Life scientists, all other occupations: 16 years and over: Men - last updated from the United States Federal Reserve on July of 2025.

This dataset provides a focused collection of 1,000 job postings for Machine Learning-related roles located across the United States. The data was gathered between late 2024 and early 2025, directly sourced from various company career pages and major job boards. It includes detailed job descriptions and associated company information, offering valuable insights into the current landscape of the machine learning job market.

Columns

• job_posted_date: The date when the job advertisement was originally published (format: YYYY-MM-DD).
• company_address_locality: The city or local area where the job is situated or where the company is based.
• company_address_region: The specific U.S. state or larger region identifying the job's location.
• company_name: The trading name of the organisation that posted the job vacancy.
• company_website: The official web address for the company.
• company_description: A concise overview or mission statement of the company.
• job_description_text: The full and unedited text of the job description as it appeared in the initial posting.
• seniority_level: The required professional experience level for the role, such as Internship, Entry level, or Mid-Senior.
• job_title: The complete title given to the job vacancy.

Distribution

The dataset is typically provided in a CSV file format. It contains 1,000 individual job postings. Specific numbers for rows or records beyond this total are not available.

Usage

This dataset is ideal for: * Job Market Analysis: Gaining insights into trends in machine learning and AI job opportunities. * Career Planning: Helping job seekers understand required skills, roles, and companies in the ML field. * Recruitment Strategy: Assisting recruiters and HR professionals in benchmarking job requirements and compensation. * Academic Research: Supporting studies on labour market dynamics, skill demand, and geographical distribution of tech jobs. * Salary Benchmarking: Although not direct salary data, job descriptions often contain clues for salary expectations.

Coverage

The dataset's geographic scope covers various locations within the United States. The time range for data collection is between late 2024 and early 2025. No specific notes on data availability for particular demographic groups or years are provided.

License

CC-BY

Who Can Use It

• Data Scientists: For market analysis and trend identification.
• Machine Learning Engineers: For career insights and skill development.
• Job Seekers: To discover relevant opportunities and prepare for applications.
• Recruiters and Human Resources Professionals: For talent acquisition and market intelligence.
• Market Researchers: To analyse industry demand and regional variations.
• Students and Academics: For research projects and understanding the professional landscape.

Dataset Name Suggestions

• US Machine Learning Job Postings
• AI/ML Job Market USA
• United States ML Career Data
• Machine Learning Roles in the US

Attributes

Original Data Source: Machine Learning Job Postings in the US