Data Scientist

US-Department-of-Veterans-Affair; Washington (District of Columbia); In loco; USD 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

U.S. Department of Veterans Affairs is seeking a skilled researcher to lead complex organizational and data-science studies. You will design data collection, manage large datasets, and develop dashboards and interactive reports using R and R Markdown for VA leaders and program offices.

The role requires advanced statistical and ML methods, with frequent collaboration across teams and mentorship of junior staff. Eligible candidates must meet specific federal qualification standards.

Competenze

• Degree in mathematics, statistics, computer science, data science, or a related field at the baccalaureate level.
• Transcripts required to verify education.
• Specialized experience in organizational, health-science, and data-science research.

Mansioni

• Lead complex organizational and data-science research using advanced methods to evaluate workplace dynamics and program performance.
• Design and implement data acquisition, management, and reporting processes for large datasets.
• Use R and R Markdown to create automated workflows, dashboards, and visualizations for VA leaders.
• Provide expert consultation on research design, survey development, and program evaluation.
• Apply ML, NLP, and emerging technologies to develop data-driven organizational solutions and recommendations.
• Advise senior leadership, mentor junior staff, and present findings to stakeholders at multiple levels.

Conoscenze

Advanced R and data analysis

Machine learning methods

Statistical modeling

Data visualization

Research design

Formazione

Bachelor's in Mathematics/Statistics/CS/Data Science

Strumenti

R

R Markdown

Descrizione del lavoro

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. 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:

• 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 findings.
• Applies advanced programming, data mining, predictive analytics, machine learning, natural language processing, and emerging technologies to identify trends, generate projections, evaluate program effectiveness, and develop data-driven organizational solutions and recommendations.
• Advises senior leadership, mentors or guides junior staff, coordinates with multidisciplinary stakeholders, and communicates research findings through briefings, reports, publications, presentations, and professional meetings at the local, national, and international levels.

1. Experience designing and serving as a lead researcher on scientific studies of organizational issues (i.e. studies using scientific models, organizational data, and statistical methods).
2. Experience applying scientific methods of health science and organization development (i.e. knows how to evaluate properties of organizational data, do statistical data analyses using specialized software, and interpret the results using scientific models).

These will be assessed through a work sample.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.

Physical Requirements

Typically, the employee sits comfortably to do the work; however, there may be some walking, standing, bending, carrying of light items, such as, papers and books.

For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/