bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesAdventservicesData Scientist

Data Scientist

Adventservices · Active · BambooHR

Job facts

FieldValue
CompanyAdventservices
TitleData Scientist
Normalized title-
Department / teamA3 Operations
LocationWashington, DC, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-10-01 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Adventservices.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Washington.Open
Department jobsActive postings in A3 Operations.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAdventservices
Source4419597e-c60b-4c7e-a448-e359a0140506
ATS providerBambooHR

Description

Position Title: Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification efforts across federal job series. The incumbent will apply advanced data analysis, statistical modeling, and computational techniques to workforce data and position descriptions, ensuring alignment with classification standards and helping inform accurate, data-driven decisions. Required Qualifications: • Bachelor’s degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Master’s preferred). • Strong proficiency in programming languages such as Python or R. • Experience with natural language processing (NLP), machine learning, and data visualization. • Knowledge of SQL and database management. • Ability to interpret and present complex data clearly to both technical and non-technical audiences. • Strong analytical, problem-solving, and communication skills. Key Responsibilities: • Collect, clean, and analyze large datasets related to position descriptions, job duties, and workforce information. • Use statistical methods, natural language processing (NLP), and machine learning techniques to identify trends, patterns, and commonalities across job roles. • Conduct text analytics on position descriptions to map tasks, skills, and responsibilities to appropriate job series and grade levels. • Collaborate with human resources professionals, subject matter experts, and leadership to validate data-driven findings. • Develop dashboards, visualizations, and reports to communicate insights in a clear and actionable manner. • Ensure consistency, accuracy, and compliance with federal classification policies and standards. • Provide recommendations to leadership on job reclassification and series alignment based on data analysis. • Stay current with emerging trends in workforce analytics, HR technology, and data science. Desired Skills: • Familiarity with federal job classification standards and Office of Personnel Management (OPM) guidance. • Experience working with workforce or HR-related data. • Knowledge of cloud computing environments and big data tools. • Demonstrated ability to work collaboratively with cross-functional teams. Impact: This position plays a key role in ensuring federal positions are accurately classified, improving workforce alignment, and enabling data-driven decision-making to support organizational goals.

Full job record

Job IDbbe7b632604520a61794a2c5ca29c280462234dd
Org ID0dd4dc15-53b8-4fb0-b523-44eeccd8ce5f
Source ID4419597e-c60b-4c7e-a448-e359a0140506
Board ID4419597e-c60b-4c7e-a448-e359a0140506
Providerbamboohr
Provider Job Key321
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentA3 Operations
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionDC
CityWashington
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://adventservices.bamboohr.com/careers/321
Apply URLhttps://adventservices.bamboohr.com/careers/321
First Seen At2026-05-30 05:46:54Z
Last Seen At2026-06-06 10:32:01Z
Last Checked At2026-06-06 10:32:01Z
Last Changed At2026-05-30 05:46:54Z
Inactive At
Source Posted At2025-10-01 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=adventservices/date=2026-06-06/2026-06-06T10-32-00-262Z-ff6b30993251f85f8e4ae8fdf542807efbd1e281c826e299bdb85e34eecd6f9e.json
Event Fields
{
  "content_hash": "a1b104455e299c0313458c52a641544d4c44e4bcea3fef81cbd3983873a57390",
  "source_hash": "c8fb71f7fa3e4cbd19a433b0d790fb18291fecfaffc27c3ff65cd6a0f3608992",
  "last_changed_at": "2026-05-30T05:46:54.365Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Washington, District of Columbia, United States",
    "city": "Washington",
    "region": "DC",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T10:32:01.288Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "Washington, District of Columbia, United States",
      "city": "Washington",
      "region": "DC",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "list_job": {
    "id": "321",
    "isRemote": null,
    "location": {
      "city": null,
      "state": null
    },
    "atsLocation": {
      "city": "Washington",
      "state": "District of Columbia",
      "country": "United States",
      "province": null
    },
    "departmentId": "18559",
    "locationType": "1",
    "jobOpeningName": "Data Scientist",
    "departmentLabel": "A3 Operations",
    "employmentStatusLabel": "Full-Time"
  },
  "detail_errors": [],
  "detail_job_opening": {
    "location": {
      "city": null,
      "state": null,
      "postalCode": null,
      "addressCountry": null
    },
    "datePosted": "2025-10-01",
    "atsLocation": {
      "city": "Washington",
      "state": "District of Columbia",
      "country": "United States",
      "countryId": "1"
    },
    "description": "<p>Position Title: Data Scientist</p>\n<p><br></p>\n<p>Position Overview: We are seeking a Data Scientist to support reclassification efforts across federal job series. The incumbent will apply advanced data analysis, statistical modeling, and computational techniques to workforce data and position descriptions, ensuring alignment with classification standards and helping inform accurate, data-driven decisions.<br></p>\n<p><br></p>\n<p>Required Qualifications:<br>• Bachelor’s degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Master’s preferred).<br>• Strong proficiency in programming languages such as Python or R.<br>• Experience with natural language processing (NLP), machine learning, and data visualization.<br>• Knowledge of SQL and database management.<br>• Ability to interpret and present complex data clearly to both technical and non-technical audiences.<br>• Strong analytical, problem-solving, and communication skills.<br></p>\n<p><br></p>\n<p>Key Responsibilities:<br>• Collect, clean, and analyze large datasets related to position descriptions, job duties, and workforce information.<br>• Use statistical methods, natural language processing (NLP), and machine learning techniques to identify trends, patterns, and commonalities across job roles.<br>• Conduct text analytics on position descriptions to map tasks, skills, and responsibilities to appropriate job series and grade levels.<br>• Collaborate with human resources professionals, subject matter experts, and leadership to validate data-driven findings.<br>• Develop dashboards, visualizations, and reports to communicate insights in a clear and actionable manner.<br>• Ensure consistency, accuracy, and compliance with federal classification policies and standards.<br>• Provide recommendations to leadership on job reclassification and series alignment based on data analysis.<br>• Stay current with emerging trends in workforce analytics, HR technology, and data science.<br></p>\n<p><br></p>\n<p>Desired Skills:<br>• Familiarity with federal job classification standards and Office of Personnel Management (OPM) guidance.<br>• Experience working with workforce or HR-related data.<br>• Knowledge of cloud computing environments and big data tools.<br>• Demonstrated ability to work collaboratively with cross-functional teams.<br>Impact: This position plays a key role in ensuring federal positions are accurately classified, improving workforce alignment, and enabling data-driven decision-making to support organizational goals.</p>",
    "compensation": null,
    "departmentId": "18559",
    "locationType": "1",
    "seekPromoted": false,
    "jobCategoryId": null,
    "jobOpeningName": "Data Scientist",
    "departmentLabel": "A3 Operations",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Entry-level",
    "jobOpeningShareUrl": "https://adventservices.bamboohr.com/careers/321",
    "employmentStatusLabel": "Full-Time"
  }
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/bbe7b632604520a61794a2c5ca29c280462234dd?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/0dd4dc15-53b8-4fb0-b523-44eeccd8ce5fJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/4419597e-c60b-4c7e-a448-e359a0140506JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/bbe7b632604520a61794a2c5ca29c280462234dd/eventsJSON