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Data Science Career Opportunities (USA)
Data Science and Analytics
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Free
About
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)
QUALITY