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. The major duties include leading and conducting 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. The role involves designing, developing, and implementing 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. The Data Scientist will use 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. Additionally, the position requires providing 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. The role also involves applying 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. The Data Scientist will advise senior leadership, mentor or guide junior staff, coordinate with multidisciplinary stakeholders, and communicate research findings through briefings, reports, publications, presentations, and professional meetings at the local, national, and international levels.
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Job Type
Full-time
Career Level
Mid Level