Dataset · MLC-0604 · [SAMPLE]
Job postings
1Description
Job postings normalized into one schema: title, employer, seniority, salary range, location and remote options, required skills and qualifications, plus the posting text and its open and close dates. Historical listings are kept after a job closes, so you can follow hiring over time. HR-tech companies, labor-market economists, investors watching company hiring and teams training job-matching models use it for skills taxonomies, salary benchmarks and demand signals.
Subsets
- Job titles
- Skills
- Salary
- Location
- Employer
- Seniority
- Historical job listings
2Schema
| Field | Type | Description | Example |
|---|---|---|---|
| posting_id / announcement_number | string | Identifiers of the posting | |
| title | string | Job title as posted | Data Scientist |
| employer / employer_parent | string | Hiring organization and its parent | |
| job_series | string | Occupation code of the role | 1560 |
| pay_plan_grade / seniority | string | Grade or level, and a normalized seniority band | |
| salary_min / salary_max / salary_period | number / string | Posted pay range and its period | |
| locations | array<string> | Work locations | ["Atlanta, Georgia"] |
| employment_type | string | Permanent or temporary, full or part time | Permanent, Full-time |
| telework_eligible / supervisory | boolean | Remote work eligibility and people-management flag | |
| security_clearance | string | Required clearance, when any | Other |
| openings | string | Number of vacancies | Few |
| open_date / close_date | date | Posting window | |
| who_may_apply | array<string> | Eligible applicant groups | ["The public", "Career transition (CTAP, ICTAP, RPL)"] |
| description | string | Summary and duties text, trimmed in this sample | This position is located in the Department of Health and Human... |
| basic_qualification / skills | string / array | Minimum qualification and the skills and experience asked for | |
| status | string | Posting status at last check | Applications under review |
| source_url | string | Public posting page | https://www.usajobs.gov/job/882835500 |
3Sample records
Sample record
| posting_id | 882835500 |
|---|---|
| announcement_number | HHS-CDC-DH-26-13020225 |
| title | Data Scientist |
| employer | Centers for Disease Control and Prevention |
| employer_parent | Department of Health and Human Services |
| job_series | 1560 |
| pay_plan_grade | GS-14 |
| seniority | Senior individual contributor |
| salary_min | 133007.0 |
| salary_max | 172915.0 |
| salary_period | Per Year |
| locations | Atlanta, Georgia |
| employment_type | Permanent, Full-time |
| telework_eligible | false |
| supervisory | false |
| security_clearance | Other |
| openings | Few |
| open_date | 2026-09-02 |
| close_date | 2026-09-06 |
| who_may_apply | The public; Career transition (CTAP, ICTAP, RPL) |
| description | This position is located in the Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, headquartered in Atlanta, Georgia. This announcement will close at 11:59 PM, on the day that 150 applications have been received or on the closing date, whichever is first. As a Data Scientist, you will: Serve as technical advisor for the administration and management of assigned projects and studies, including the direction and control of project planning, project review and findings; Research and investigate new or improved business and management practices for application to agency programs or operations; Analyze and evaluate the effectiveness of program operations in meeting established project goals and objectives. [...] |
| basic_qualification | A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. |
| skills | Working with public health data systems and converting data for analysis.; Proficiency in data science skills for analyzing both structured and unstructured data.; Strong understanding of data science methods, including machine learning and natural language processing. |
| status | Applications under review |
| source_url | https://www.usajobs.gov/job/882835500 |
{
"posting_id": "882835500",
"announcement_number": "HHS-CDC-DH-26-13020225",
"title": "Data Scientist",
"employer": "Centers for Disease Control and Prevention",
"employer_parent": "Department of Health and Human Services",
"job_series": "1560",
"pay_plan_grade": "GS-14",
"seniority": "Senior individual contributor",
"salary_min": 133007.0,
"salary_max": 172915.0,
"salary_period": "Per Year",
"locations": [
"Atlanta, Georgia"
],
"employment_type": "Permanent, Full-time",
"telework_eligible": false,
"supervisory": false,
"security_clearance": "Other",
"openings": "Few",
"open_date": "2026-09-02",
"close_date": "2026-09-06",
"who_may_apply": [
"The public",
"Career transition (CTAP, ICTAP, RPL)"
],
"description": "This position is located in the Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, headquartered in Atlanta, Georgia. This announcement will close at 11:59 PM, on the day that 150 applications have been received or on the closing date, whichever is first. As a Data Scientist, you will: Serve as technical advisor for the administration and management of assigned projects and studies, including the direction and control of project planning, project review and findings; Research and investigate new or improved business and management practices for application to agency programs or operations; Analyze and evaluate the effectiveness of program operations in meeting established project goals and objectives. [...]",
"basic_qualification": "A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.",
"skills": [
"Working with public health data systems and converting data for analysis.",
"Proficiency in data science skills for analyzing both structured and unstructured data.",
"Strong understanding of data science methods, including machine learning and natural language processing."
],
"status": "Applications under review",
"source_url": "https://www.usajobs.gov/job/882835500"
}
4Uses
- Salary benchmarking by title, level and location
- Skills taxonomy building and skills-gap analysis
- Hiring trend signals for investors and analysts
- Training job-matching and resume-parsing models
- Labor-market research on remote work and demand
5Citation
@misc{mlchart_job_postings_2026,
title = {Job postings},
author = {MLchart},
publisher = {MLchart},
year = {2026},
version = {2026.10},
url = {https://mlchart.com/datasets/job-postings/}
}
MLchart. (2026). Job postings (Version 2026.10) [Data set]. https://mlchart.com/datasets/job-postings/
6Access
The full Job postings dataset (MLC-0604), records on request. Delivered as JSONL, CSV or Parquet under a commercial licence.