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Data Scientist
Adventservices · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Adventservices |
| Title | Data Scientist |
| Normalized title | - |
| Department / team | A3 Operations |
| Location | Washington, DC, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-10-01 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Adventservices. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Washington. | Open |
| Department jobs | Active postings in A3 Operations. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Adventservices |
| Source | 4419597e-c60b-4c7e-a448-e359a0140506 |
| ATS provider | BambooHR |
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 ID | bbe7b632604520a61794a2c5ca29c280462234dd |
| Org ID | 0dd4dc15-53b8-4fb0-b523-44eeccd8ce5f |
| Source ID | 4419597e-c60b-4c7e-a448-e359a0140506 |
| Board ID | 4419597e-c60b-4c7e-a448-e359a0140506 |
| Provider | bamboohr |
| Provider Job Key | 321 |
| Title | Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | A3 Operations |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | DC |
| City | Washington |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://adventservices.bamboohr.com/careers/321 |
| Apply URL | https://adventservices.bamboohr.com/careers/321 |
| First Seen At | 2026-05-30 05:46:54Z |
| Last Seen At | 2026-06-06 10:32:01Z |
| Last Checked At | 2026-06-06 10:32:01Z |
| Last Changed At | 2026-05-30 05:46:54Z |
| Inactive At | — |
| Source Posted At | 2025-10-01 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=adventservices/date=2026-06-06/2026-06-06T10-32-00-262Z-ff6b30993251f85f8e4ae8fdf542807efbd1e281c826e299bdb85e34eecd6f9e.json |
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"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>",
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