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.

The average annual salary of a Data Architect in India was estimated to be over *********** Indian rupees per annum, the highest among other jobs in the Data Science sector in India. It was followed by data Scientist and Database Developer roles.

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.

This dataset contains the salaries of Data Science Professionals for year 2020 and 2021.

About Dataset :

work_year : The year during which the salary was paid. There are two types of work year values: 2020 Year with a definitive amount from the past 2021e Year with an estimated amount (e.g. current year)

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 : The role worked in during the year. salary The total gross salary amount paid.

salary_currency : The currency of the salary paid as an ISO 4217 currency code.

salaryinusd : The salary in USD (FX rate divided by avg. USD rate for the respective year via fxdata.foorilla.com).

employee_residence : Employee's primary country of residence in during the work year as an ISO 3166 country code.

remote_ratio : The overall amount of work done remotely, possible values are as follows: 0 No remote work (less than 20%) 50 Partially remote 100 Fully remote (more than 80%)

company_location : The country of the employer's main office or contracting branch as an ISO 3166 country code.

company_size : The average number of people that worked for the company during the year: S less than 50 employees (small) M 50 to 250 employees (medium) L more than 250 employees (large)

Dataset Source - ai-jobs.net Salaries

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

H-1B visa sponsorship trends for Data Scientist Ii, 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.

Abstract

Looking for a job as Data Analyst? Maybe this dataset can help you.

About this dataset

Amidst the pandemic many people lost their jobs, with this dataset it is possible to hone the job search so that more people in need can find employment. This dataset was created by picklesueat and contains more than 2000 job listing for data analyst positions, with features such as: - Salary Estimate - Location - Company Rating - Job Description - and more.

How to use

• Find the best jobs by salary and company rating
• Explore skills required in job descriptions
• Predict salary based on industry, location, company revenue
• Your kernel can be featured here!
• Data Engineer Jobs
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Acknowledgements

If you use this dataset, please support the author.

License

License was not specified at the source

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Photo by Chris Liverani on Unsplash

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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

👉 Hope this helps, please upvote if you find this dataset useful 🙌 🔥 😊

Data-related jobs are considered the most sexiest career of 2021. Because of the increasing demand for data specialists, many professionals expect a very high compensation for performing jobs in this field. Thus we decided to evaluate the impact different variables have on the expected salary, so we could adjust our expectations to the current international market. This is the dataset processed from the Stack overflow Annual Developers Survey.

Content: There are 2 files

👉 processed_data_toDummies.csv

This is the data pre-processed from the original dataset with all the Developer type converted into dummies variables: - Data Scientist or Machine Learning Specialist - Database Administrator - Data Analyst - Business Analyst and Data Engineer)

Together with other variables such as: Country, Education level, Employment, Job Satisfaction, Organization size, Undergraduate major, Year of coding as professionals

👉 survey_final.csv:

The original dataset comes from the Stack overflow Annual Developers Survey, and for this dataset we will only consider the respondents that considered themselves already in a data related job (Data Scientist, Machine Learning Specialist, Database Administrator, Data Analyst, Business Analyst and Data Engineer)

Acknowledgements

This dataset is processed from the Stack Overflow Annual Survey result from 2017 to 2020 The original datasets can be found at: https://insights.stackoverflow.com/survey

Analysis of ‘Data Professionals Salary - 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iamsouravbanerjee/analytics-industry-salaries-2022-india on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, supply chain analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, graph analytics, credit risk analysis, and fraud analytics. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics.

Content

This Dataset consists of salaries for Data Scientists, Machine Learning Engineers, Data Analysts, Data Engineers in various cities across India (2022).

Acknowledgements

For more, please visit: https://www.glassdoor.co.in/

--- Original source retains full ownership of the source dataset ---

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Explore the progression of average salaries for graduates in Data Analyst Engineering from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Data Analyst Engineering relative to other fields. This data is essential for students assessing the return on investment of their education in Data Analyst Engineering, providing a clear picture of financial prospects post-graduation.

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The AI & Data Job Salaries and Skills Dataset 2024-2025 is synthetically prepared and provides a detailed, global overview of job listings in artificial intelligence, data science, machine learning, and related fields. This dataset aggregates job postings from October 2024 to July 2025, capturing a wide spectrum of roles, required skills, compensation, and organizational attributes across multiple countries and industries.

With over 15,000 entries, each record details the job title, salary (in USD and local currency), experience level, employment type, company location and size, remote work ratio, required technical skills, education and experience requirements, industry, posting and application dates, job description length, benefits score, and company name. This rich dataset is designed for data scientists, career analysts, HR professionals, and researchers interested in AI workforce trends, salary benchmarking, and skills demand analysis.

Column Details

Example Data Row (Landscape Format)

| Field | Value | |-------------------------|-----------...

Analysis of ‘Sample - Employee's Monthly Salary’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jb1433/sample-employees-monthly-salary on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

This is a sample dataset to explore key insights, EDA, and to perform statistical simulations.

Content

This Dataset contains Gross and Net salary of each Employee with Tax deduction

Inspiration

1. Do male employees earn significantly more than female employees?
2. Are there any departments paying significantly low salaries in the organization?
3. What is the relation between gender and leadership roles in the organization?
4. What is the relation between age and leadership roles in the organization?
5. Are Data Scientists getting paid significantly more than others in this company?
6. Does the salary depend on Age?

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Pay Band Average Salary’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/bb89cdfe-37ae-499c-9f30-74a3d76c5f0d on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Salary information for State of Oklahoma employees by pay band, including average, maximum and minimum, and the size of the range by pay band.

--- Original source retains full ownership of the source dataset ---

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.

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.

H-1B visa sponsorship trends for Senior 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.

Explore the progression of average salaries for graduates in Computer Scientist from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Computer Scientist relative to other fields. This data is essential for students assessing the return on investment of their education in Computer Scientist, providing a clear picture of financial prospects post-graduation.