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Data Scientist

Job in Washington, District of Columbia, 20022, USA
Listing for: U.S. Department of Veterans Affairs
Full Time position
Listed on 2026-10-11
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Summary

This position is located at the VHA National Center for Organization Development: VHA NCOD;
Organizational Code: 106C. This position is assigned to the Research Business Line within VHA NCOD.

Summary

This position is located at the VHA National Center for Organization Development: VHA NCOD;
Organizational Code: 106C. This position is assigned to the Research Business Line within VHA NCOD.

Qualifications

To qualify for this position - applicants must meet all requirements by the closing date of this announcement - 10/15/2026. Time-In-Grade Requirement:
Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-12 position you must have served 52 weeks at the GS-11. The grade may have been in any occupation - but must have been held in the Federal service.

An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year - it may not clearly demonstrate you possess one-year time-in-grade - as required by the announcement. In this instance - you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade.

Note:

Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment. BASIC EDUCATION REQUIREMENT
- You must first meet Basic Education Requirements for this position as described below. Transcripts are REQUIRED. Basic Education Requirement 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. OR Combination of education and experience:
Courses equivalent to a major field of study (30 semester hours) as shown in paragraph above - plus additional education or appropriate experience. TRANSCRIPTS REQUIRED ADDITIONAL QUALIFICATIONS
- In addition to meeting the basic education requirement - you must have specialized experience or directly related education as described below. Specialized

Experience:

1 year of Specialized Experience equivalent to at least the next lower grade GS-12 in the normal line of progression for the occupation in the organization.

NOTE:

To be minimally qualified for this position - you must meet specialized experience listed below. Specialized experience is:
Leads and conducts complex organizational - health-science - and data-science research using advanced statistical - psychometric - predictive - machine-learning - and artificial-intelligence methods to evaluate workplace dynamics - customer feedback - program performance - and organizational outcomes. Designs - develops - and implements data acquisition - management - standardization - quality-control - benchmarking - and reporting processes for large and complex datasets - including procedures for data storage - retrieval - classification - coding - security - privacy - and dissemination.

Uses the statistical program R and R markdown to create automated analytical workflows - dashboards - interactive reports - visualizations - and user-focused applications that transform organizational and survey data into actionable information for VA leaders - program offices - and other stakeholders. Provides expert scientific - methodological - and technical consultation on research design - survey development - program evaluation - organizational assessment - strategic communication - statistical modeling - and the interpretation of quantitative and qualitative…

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