SOCIAL SCIENCE ANALYST

First Roles; Florida; On-site; USD 90,000 - 120,000; Full time

Job summary

Defense Human Resources Activity seeks a Social Science Analyst (GS-0101-13) to perform front-end analyses, occupational studies, and psychometrics to inform learning objectives and curriculum frameworks. The role involves planning and executing mixed-method studies and evaluating training effectiveness within national defense contexts.

Responsibilities include data handling with SQL, R, and Python, synthesizing evidence for policy translation, and providing technical direction on research and

Responsibilities

• Plans, designs, and executes comprehensive front-end analyses and practitioner-centered studies to identify performance gaps and requirements.

Skills

Front-end analysis

Occupational analyses

Mixed-methods research

Psychometrics

Training evaluation

Policy translation

Data analytics

SQL

R

Python

Tools

SQL

R

Python

Job description

This position is part of the Defense Human Resources Activity. The incumbent serves as Social Science Analyst responsible for executing the professional and technical work of the organization. The mission of the organization involves major aspects of key research and development programs and has substantial effect on national defense issues and new technology areas. Programs generally involve substantial fiscal responsibility (e.g., management of multimillion-dollar efforts).

As a SOCIAL SCIENCE ANALYST at the GS-0101-13 some of your typical work assignments may include:

• Conducts front-end and practitioner-centered occupational analyses: Plans, designs, and executes comprehensive front-end analyses, cognitive task analyses, and practitioner-centered occupational studies to systematically identify organizational performance gaps and target-population requirements. Translates complex qualitative and quantitative task data into empirical knowledge, skills, abilities, and other characteristics (KSAOs) and validated competency models to directly inform evidence-based learning objectives and curriculum frameworks.
• Conducts mixed-methods social science research and psychometrics: Conceptualizes, executes, and oversees applied mixed-methods social science research to support human relations workforce development across the Department. Formulates rigorous experimental designs, develops and psychometrically validates measurement instruments, and applies advanced inferential and multivariate statistical modeling to laboratory and field data.
• Training Effectiveness, Program Evaluation Science & Performance Measurement: Designs, validates, and directs comprehensive, multi-tiered training and program evaluation architectures to measure instructional effectiveness, learner competency attainment, and operational transfer of learning. Develops formative and summative assessment plans, psychometrically sound rubrics, and data-collection protocols, integrating longitudinal evaluation finding with front-end occupational baselines to drive data-informed curriculum and programmatic refinements.
• Behavioral Science Technical Advisory, Evidence Synthesis & Policy Translation: Locates, critically appraises, and synthesizes multidisciplinary social, behavioral, and organizational science literature and requisite policy to serve as a principal technical authority on human relations workforce performance.
• Project Planning, Technical Direction & Scientific Quality Assurance: Plans, coordinates, and provides technical project direction for multidisciplinary research and evaluation efforts, establishing milestones resource allocations, and scientific protocols compliant with Departmental priorities and research ethics standards. Conducts rigorous peer reviews and quality assurance evaluations of technical reports, briefs, and peer-reviewed manuscripts prepared by project teams and external collaborators to ensure methodological soundness and adherence to scientific publication standards.
• Manages, transforms, and analyzes large-scale defense personnel, survey, and educational datasets: Leverages advanced analytical environments and relational databases using Structured Query Language (SQL), R, and Python to extract, clean, manipulate, and model complex longitudinal datasets. Utilizes enterprise analytical workspaces to build reproducible data pipelines, monitor workforce metrics, and merge heterogeneous demographic, training, and operational data.
• Prepares and completes comprehensive professional written reports: Documents data, results, and findings to include the reliability and validity of results in final technical reports.
• Prepares and provides briefings which includes initial research approach, research effort, and results that have implications for DEOMI and the Department of War.