MLchartDataset catalogue

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

Table 1. Fields
FieldTypeDescriptionExample
posting_id / announcement_numberstringIdentifiers of the posting
titlestringJob title as postedData Scientist
employer / employer_parentstringHiring organization and its parent
job_seriesstringOccupation code of the role1560
pay_plan_grade / senioritystringGrade or level, and a normalized seniority band
salary_min / salary_max / salary_periodnumber / stringPosted pay range and its period
locationsarray<string>Work locations["Atlanta, Georgia"]
employment_typestringPermanent or temporary, full or part timePermanent, Full-time
telework_eligible / supervisorybooleanRemote work eligibility and people-management flag
security_clearancestringRequired clearance, when anyOther
openingsstringNumber of vacanciesFew
open_date / close_datedatePosting window
who_may_applyarray<string>Eligible applicant groups["The public", "Career transition (CTAP, ICTAP, RPL)"]
descriptionstringSummary and duties text, trimmed in this sampleThis position is located in the Department of Health and Human...
basic_qualification / skillsstring / arrayMinimum qualification and the skills and experience asked for
statusstringPosting status at last checkApplications under review
source_urlstringPublic posting pagehttps://www.usajobs.gov/job/882835500

3Sample records

Sample record

Table 2. Sample record, fields
posting_id882835500
announcement_numberHHS-CDC-DH-26-13020225
titleData Scientist
employerCenters for Disease Control and Prevention
employer_parentDepartment of Health and Human Services
job_series1560
pay_plan_gradeGS-14
senioritySenior individual contributor
salary_min133007.0
salary_max172915.0
salary_periodPer Year
locationsAtlanta, Georgia
employment_typePermanent, Full-time
telework_eligiblefalse
supervisoryfalse
security_clearanceOther
openingsFew
open_date2026-09-02
close_date2026-09-06
who_may_applyThe public; Career transition (CTAP, ICTAP, RPL)
descriptionThis 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_qualificationA. 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.
skillsWorking 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.
statusApplications under review
source_urlhttps://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.

Request the full dataset